Tableau Keynote - Tableau conference 2022: Live reaction livestream

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1:18Hello.

1:20Hello, everyone.

1:21How is everyone doing?

1:23A few people are here early by the looks of

1:26things.

1:26Watching from Albuquerque.

1:28Craig is watching from sunny York.

1:30Hello and welcome to the reaction live

1:33stream

1:33is what we're going to call it for now.

1:35I don't know what to call this.

1:37Is it a live stream?

1:38Is it a reaction?

1:39Is it a reaction live stream?

1:40Who knows?

1:41How are you doing, Andre?

1:42I am good, yeah.

1:43I'm really excited for this.

1:45How are you?

1:46Good, good.

1:47I'm pretty pumped.

1:48I'm also super nervous.

1:49Last time we did a live stream,

1:51I had dropouts throughout the stream.

1:54Oh, really?

1:55Yeah, exactly.

1:56So this time round,

1:57I've sort of tried to design the stream a

1:59little bit better

2:00and everything should be more rigid.

2:02We're going through a third party, so yeah,

2:04it should be good.

2:05Cool.

2:06We're seeing people coming in from loads of

2:09places.

2:09Yeah, exactly.

2:10So we've got LinkedIn, Twitch, Twitter,

2:14Facebook,

2:14YouTube, we're going through all the

2:17platforms.

2:17So if you drop a comment from any of those

2:19platforms,

2:19it comes over here to the live stream

2:21and you can see us live on here.

2:23So yeah, so many people from America,

2:25obviously.

2:26Denver, Boston, Omaha,

2:29New Hampshire, Ireland.

2:31Ireland.

2:32Amazing, amazing.

2:33It's actually interesting.

2:34The LinkedIn crews are turning out pretty

2:37strong here.

2:37I love it, I love it.

2:38Yeah.

2:39LinkedIn has become a social platform, hasn

2:41't it?

2:41It used to be a professional platform,

2:43but now people just post everyday updates

2:46on there, don't they?

2:47I think LinkedIn is one of the social media

2:49I change the most every day.

2:51I don't know why, because it used to be for

2:55like,

2:55"Oh, let me find a new job,"

2:56but actually it's more than that now, right

2:58?

2:58Yeah, exactly, exactly.

3:00Cool, we've got loads of people coming in

3:03nice.

3:03But yeah, we're here for the Tableau

3:05Conference live stream.

3:07We're specifically here for the keynote.

3:08We're not going to stick around all day.

3:09That would be a pretty tough call.

3:11There's tons of sessions to watch as well

3:13and Andres and mine's pick probably won't

3:16be what you're looking to watch.

3:16But the keynote is something that everyone

3:19I know will love to see.

3:21There's something a little bit different

3:22this year,

3:22which is the keynote and devs on stage are

3:25in one session, right?

3:27Yes, exactly.

3:28Can we have some special effects?

3:30There's someone from the Netherlands coming

3:32in here.

3:32[airhorn]

3:33Yay!

3:34[laughter]

3:36If you're here for the effects, sound

3:38effects and special effects,

3:39we've got some lined up, so don't worry.

3:41We're going to be using them throughout the

3:44whole entire keynote.

3:45The keyword for the bingo game today is

3:49going to be the cloud.

3:50So every time anyone mentions the cloud,

3:52you will hear this sound.

3:54[ding]

3:55[laughter]

3:57The sound of the cloud.

3:58Yeah, exactly, exactly.

3:59So that's what we'll be doing throughout

4:02the day.

4:02But nonetheless, yeah, this is going to be

4:05an interesting keynote

4:06because it's devs on stage and the keynote.

4:08So we've got a bit about the product vision

4:10from Tableau

4:10where they're looking to head in the future

4:13.

4:13But then also, we're going to hopefully see

4:16some of the features

4:16that have only really been cooking for the

4:19last six months

4:19because the last conference wasn't that

4:21long ago

4:21because conference moved forward this year,

4:24right?

4:24Yeah, exactly.

4:26I think we'll see, hopefully today, we see

4:30a lot more around the product

4:31because we have seen in the past that more

4:34and more

4:34is very much marketing focused for the C-su

4:38ite.

4:38But actually, I think now with Dreamforce

4:41coming up in September,

4:43we'll probably see a lot more of that

4:45content at Dreamforce.

4:46And then today and tomorrow, there will be

4:49a huge focus on the product itself.

4:51Yeah, exactly, exactly.

4:52And you did the keynote, the Tableau

4:55keynote at Trailblazer DX, right?

4:58Yeah, exactly.

4:59Like two weeks ago, it was in San Francisco

5:02and that was specifically focused on

5:04developers.

5:04So we see a little bit of branching off

5:06like the developers, the data devs,

5:08they moved to Trailblazer with all the

5:10other tools

5:11like MuleSoft and Slack and Salesforce.

5:13And then this is very much focused on the

5:18core product.

5:19Yeah, exactly, exactly.

5:20Just to show you sort of what's going on in

5:23the live stream itself.

5:24This is the sort of live event.

5:27It looks like a Salesforce keynote, doesn't

5:30it?

5:30It's got a slightly different layout, right

5:32?

5:32Exactly, yeah.

5:33So we see a little bit of a mix between

5:36Salesforce and Tableau.

5:37So Tableau traditionally, their setup is

5:39like having a stage

5:40and all the audience in front of it.

5:42Whilst with Salesforce, you are really in

5:45the audience.

5:45So with Trailblazer, what we had to do was

5:48there's this arena

5:49and in the middle there's a platform in

5:51which you present.

5:52I was a co-host.

5:53So if we wanted to, we could have walked

5:56off stage

5:56and walked through the audience, etc.

5:58So it's a different approach to doing

6:02conferences.

6:04Oh, yeah, Craig says so Salesforce, yeah.

6:07I agree, it's very much Salesforce.

6:10But I don't think that's necessarily a bad

6:13thing.

6:13Yeah, exactly.

6:14I think this will be interesting for people

6:17who are there in person.

6:17Obviously, this year is one of the...

6:19It's probably the strangest year for

6:21conference

6:21because there's a bigger virtual contingent

6:23,

6:23I think, than there's ever been whilst

6:26there's an actual in-person conference.

6:27Previously, Tableau conference used to be

6:30only in person.

6:31And in essence, there wasn't really any

6:34virtual coverage

6:35other than maybe the keynote going out live

6:37.

6:37But now we've got sort of a hybrid setup.

6:39I think there'll be an interesting sort of

6:42shift this year as well

6:42from people who are there in person, but

6:45also watching it virtually.

6:46The good thing is that we're finally back

6:48in person, right?

6:49Yeah, exactly.

6:50Exactly. I think a lot of people in the

6:54community

6:54have joined in the last few years, but what

6:57you don't realise

6:57is that means a lot of people have joined

6:59in a time

7:00where there's never been a conference.

7:02So it's super, super important to actually

7:05have an in-person setup

7:06that people can actually connect with

7:08community members,

7:08see what the community is actually about,

7:10but also just get a feel for what the

7:13community actually is,

7:14how they can get involved, how they can

7:16take part,

7:16who the innovative people are,

7:18but also meet the Tableau devs in person,

7:20the Tableau product managers in person,

7:22talk about features and really get those

7:24through the door.

7:25Yeah, exactly.

7:26What we now see on the screen is all the

7:29ambassadors are popping up

7:30with their little hats.

7:32Just in time for myself.

7:34Yeah, for yourself, yeah.

7:36So yeah, that's pretty cool.

7:38So he makes Tableau.

7:40This guy's a dev, right?

7:41Yeah, if you have any questions, he will

7:44know how to make it.

7:45Oh, look at this guy.

7:46Oh, never mind.

7:48[Laughter]

7:51Such good timing.

7:53What socks is he wearing?

7:55What socks is he wearing?

7:56Exactly.

7:57I've muted the audio because we're going to

8:00be talking over this.

8:00I'll put the audio back on during the

8:02conference.

8:02So for the record, if you want to hear what

8:05's going on in the livestream

8:06over what we're saying, this is probably

8:09not the best place for that.

8:10We'll obviously try and time what we say

8:13when we say it,

8:13but the main audio is going to be coming

8:16from us

8:16with a bit of the background,

8:17but we'll start that once the livestream

8:20kicks off.

8:20We'll tweak the sound, right?

8:22Yeah, exactly.

8:23It's deliberately muted at the moment,

8:25so once we get going, we'll tweak it.

8:28And let me know if the sound or the levels

8:30aren't right.

8:31We'll be able to tweak that perfectly fine.

8:34So yeah, what was announced at the last

8:37keynote?

8:37Just before we go into the keynote itself,

8:39let's just sort of touch base on what was

8:42announced last time.

8:43André has made some pretty decent notes

8:45for me today.

8:46[laughs]

8:47I had no notes prepared, and André an hour

8:51before was like,

8:51"Okay, I've made some notes for the session

8:54."

8:54So André, I think I'll let you sort of

8:57just do a roundup

8:57of what was announced last year.

8:59Yeah, exactly.

9:01So quite a few of the things from last year

9:04have actually been implemented in the

9:06product already, so that's good.

9:07Sometimes we see things being mentioned

9:09in like Devs On Stage in the keynote,

9:11and it takes like two years to implement,

9:13or sometimes they're being squashed, so we

9:16don't even see them.

9:16But yeah, mainly things around

9:18collaboration.

9:19We've seen AskData and Slack integration.

9:22We've seen XplainData and Slack,

9:24although I've not seen that one actually

9:26there.

9:26But Einstein Discovering Slack is also

9:29something that's interesting.

9:30So yeah, we'll see probably more integ

9:32rations

9:32with MuleSoft, Slack, Salesforce,

9:36but hopefully also with the wider kind of

9:39technology ecosystem.

9:40We saw something around business science,

9:43which is something that Tableau's really

9:46pushing.

9:46Around kind of machine learning, artificial

9:50intelligence,

9:50but then actually make that accessible for

9:53everyone.

9:53Yeah.

9:54One of the cool things that we saw last

9:57year

9:57is things around Tableau Public,

9:59again, being very central in the keynote.

10:02So there's now like a hire me button in

10:04Tableau Public.

10:05Yeah.

10:06Hopefully we'll see some more stuff around

10:09Tableau Public

10:09so that it doesn't...

10:10Tableau Public always has been like this

10:13playground, right,

10:13for Tableau to kind of innovate and test

10:16new features

10:16and then they deploy them further.

10:18So hopefully Salesforce hasn't forgotten

10:20about Tableau Public.

10:21Yeah.

10:22What else? Yeah, we have seen some really

10:25cool features

10:25around embedded analytics.

10:26Embedded analytics is now...

10:29The whole API has been rewritten.

10:31They're implementing new features

10:33throughout.

10:34Embedded analytics is all about putting

10:36analytics the way users are.

10:38So we've seen connected applications, new

10:42APIs.

10:42So let's hope we see a little bit more of

10:44that today as well.

10:45Yeah, exactly. Exactly.

10:46So there's so much there, isn't it?

10:48And what is interesting to sort of see

10:52is that I feel like this conference might

10:55be the conference

10:55where we see a little bit more deeper

10:59integration with Salesforce,

10:59obviously coming through in the year ahead.

11:02But at the same time, maybe a more Sales

11:04force-centric sort of philosophy

11:06to how Tableau delivers products

11:08rather than maybe the more traditional on-

11:10premise approach

11:11that Tableau's sort of been used to for a

11:13long time.

11:14Yeah, exactly.

11:16One of the things that I have in the notes

11:18here

11:18as well is the huge focus on the Tableau

11:22economy,

11:22which we'll see some announcements around

11:25today as well.

11:25The Tableau Exchange, which is kind of...

11:29If you're familiar with Salesforce APAC

11:31Change,

11:31that's for Tableau, where you can get what

11:34they call accelerators,

11:35extensions, and connectors,

11:37which Tableau partners basically kind of

11:41upload and share with users.

11:44I'm just checking the comments.

11:45We have people from all over the world.

11:46This is really cool.

11:48Everyone. Jakarta, South Africa.

11:52Sorry, I'm playing around with the size of

11:54the stream.

11:54Jakarta, South Africa.

11:56- India. Syria as well. - Syria as well.

11:58Syria as well. Amazing, amazing.

12:00On a boat in Solent, according to Sam, a

12:03colleague of ours.

12:04Austin, Texas, Netherlands, Germany,

12:07Chicago, the UK, Ireland.

12:10Lots of locations around America.

12:12Hampshire, Omaha, Boston, Denver. Canada's

12:16not in America.

12:16That's a bad joke to make.

12:18That's not in America.

12:20California. California again. Syria, yes.

12:24Here we go. We have Malno from Syria here.

12:28Let me get this positioning right.

12:30The stream comment from Malno there.

12:34Really cool.

12:35Another one from Albuquerque as well.

12:37Another location in America.

12:39Absolutely amazing. Absolutely amazing.

12:41Let's just switch over to the stream very

12:43briefly.

12:43See what's going on here.

12:44I'm going to use this opportunity to check

12:46the audio

12:46for the stream is actually set up nicely.

12:48So let's turn this up.

12:51I mean, I think I like, I tell the story so

12:53much because I believe in it.

12:54I've been here for seven and a half years.

12:55Right. So they've got their own interview

12:57here as well.

12:57Just kind of, it's kind of cool.

12:59So this is a, he works in sales in

13:03somewhere in the US.

13:05But he's been with Tableau for, he just

13:07said over seven years.

13:08So he is, I guess, we're super excited to

13:11be in person again.

13:12Yeah, yeah, exactly.

13:14Out of interest for everyone on the stream,

13:16how is the audio?

13:17Have I got the balance right?

13:18I can sort of turn it up, the audio of the

13:21stream up if you want.

13:22Not our stream, but the actual event stream

13:26.

13:26I'm asking you this and I know there's

13:28going to be about a 30 second lag

13:29before I get a response as well.

13:31I think you need to up the volume a little

13:34bit of the keynotes

13:35because I think I can see the same as what

13:37they see.

13:37Okay, cool. So let's do this.

13:39That excitement never ever changes.

13:41Yeah.

13:42So let's do a technical question.

13:44Wow, Biggie Small is playing in the

13:46background.

13:46I'm going to get a copyright strike.

13:47Back in the year ends.

13:48Yeah.

13:50I might need to turn that down before I get

13:53closed down on Twitch or something.

13:55Biggie will not like it.

13:59Yeah, yeah. So cool.

14:00The feed isn't loud enough.

14:02Okay, cool.

14:03I totally appreciate that.

14:05I've turned it down because they're playing

14:07copyrighted music in the background

14:09and I don't want the stream to get killed.

14:11So I will turn it up once the keynote gets

14:14going.

14:14But I think I've set the levels correctly.

14:16I sort of saw the dials on my side.

14:18So we should be good.

14:19Craig is saying more.

14:21Yeah, we can move up the actual volume.

14:25I was just looking at the list of people

14:27that are going to talk at the keynote

14:29and there are quite a lot of people coming

14:32on stage.

14:32So I think this is going to be quite

14:34exciting.

14:34Lots of product managers.

14:36So that means that there's a lot to

14:38announce.

14:39Exactly.

14:40We see also some customers, I think, that

14:45are going to talk.

14:47Yeah, someone from Feeding America.

14:49So I think that's around the tableau for

14:52good.

14:52Or data for good. What's the name?

14:55So that's going to be exciting.

14:59Yeah, Ravi is tuning in from the keynote.

15:03That's a bit of a meta.

15:04Ravi, if I send you an Ecamm link, can you

15:08join from the keynote

15:09as we livestream the keynote?

15:14If Ravi did that, it would make Vacit full

15:18circle.

15:18But I doubt the internet would survive.

15:21Craig, appropriately asking, who are you?

15:23I assume that's to Ravi.

15:27So Ravi was on this stream last year with

15:31Tim.

15:31And this year he's live in Vegas.

15:33We saw him earlier with him.

15:35He was a dude with the weird socks.

15:37Exactly, exactly. The shorts.

15:40And the shorts, yes.

15:43Vegas has such a weird climate, especially

15:46with conferences.

15:47People are wearing shorts, but then also

15:49hoodies.

15:50If you go outside, it's 40 degrees.

15:52Exactly. You go outside, it's 40 degrees.

15:54You go inside, the aircon's on too high.

15:56So you actually generally need a hoodie to

15:58survive in some of the rooms there.

16:00So yeah.

16:03For anyone asking us to turn up the volume,

16:05we will turn it up once the keynote starts

16:07because they're playing copyrighted music

16:10in the actual event room

16:12and I don't want to get in trouble from

16:14YouTube, Twitch, LinkedIn, Facebook and

16:17Twitter.

16:17So they're talking now about IronViz.

16:20Really quickly they introduced the people

16:22who are going to do IronViz.

16:23So we're going to look at that tomorrow as

16:25well.

16:25Yeah, yeah.

16:27That's going to be good fun.

16:28We have... she was on the stream.

16:32There's another screen as well. Welcome.

16:36Amazing, amazing. I love that.

16:38I love it when you see yourself in the

16:41actual stream.

16:42Nisa, hello. Hello, how are you doing?

16:45Absolutely great to have you.

16:46So many colleagues as well. So many people

16:49I've worked with as well.

16:49Thank you so much for joining. I really,

16:52really appreciate it.

16:52It's amazing.

16:54Oh, yeah. There we go.

16:56I'll turn this up now. Hold on.

16:58Oh, sorry. I said 40 degrees. I meant

17:02Celsius.

17:02Celsius.

17:03Very good for correcting us.

17:05We have a global audience here. Sorry about

17:10that.

17:11Good stuff. So let's turn this up a little

17:13bit. Let's get this.

17:15That has to be like some kind of record of

17:19some kind.

17:20Can you tell us a bit about why you come

17:21every single time?

17:22Yeah, absolutely.

17:23So obviously there's a great opportunity

17:25for connecting with the community.

17:28But also just networking.

17:29Five minutes.

17:30And figuring out how other people are

17:32utilizing Tableau every day.

17:33I'm always learning something new and kind

17:35of, you know, meeting people.

17:36So I know the excitement and the nerves

17:38that are going on in the keynote speakers

17:40now.

17:40Yeah, talk a bit about that. Because you

17:43were behind the scenes with the Tableau

17:44team.

17:44So what's going on behind the stage?

17:47Well, about like half an hour ago they

17:49should have done all the makeup and

17:51everything.

17:52Which is so weird. Especially like I never

17:57wear makeup.

17:58But yeah, and then everyone's kind of still

18:02in their like real focus and rehearsing

18:04their lines.

18:05And it's a cool moment before because you

18:08've actually been like when I was there I

18:11prepared it for weeks.

18:12And then it's like half an hour to go.

18:14Yeah.

18:15And then I think if Francois is there they

18:18'll do some kind of huddle where everyone's

18:21like countdown and shouts "data" at three.

18:24So one, two, three, data.

18:27So that's really cool.

18:30Yeah, oh we have more people coming in from

18:32Ohio as well.

18:33Ohio, yeah. We had a few more from Ghana as

18:37well.

18:38A few people joining from Ghana.

18:40Skelko from, I think Skelko, Sachelo. How

18:45do you say your name?

18:45If you're still on stream please let me

18:47know how to pronounce your name phon

18:49etically in the chat.

18:50I really appreciate it. I hate getting

18:52names wrong.

18:53Especially as an African whose name gets

18:56completely maligned every single time.

18:58I hate to be the one who's doing it. So let

19:01me know how to say your name properly.

19:03So...

19:06Washington D.C. Amazing.

19:09Rodrigo, another familiar face from the

19:14tablet community.

19:17There's also for the virtual audience of

19:19course we don't want you to leave these

19:21streams but there's also some slack

19:23channels.

19:23Yes, yes.

19:24There's some integrations with slack. I see

19:28loads of people posting cat pictures over

19:31there.

19:31That's a fun one to be in.

19:33It's really cool. It's really cool.

19:36I think I'm trying to see, can you see the

19:40little crowd over here where my mouse is

19:44just over here?

19:45Yes.

19:46That's like a group of very familiar faces.

19:50I think this is Luke.

19:52You can recognize Luke Stanky from just his

19:57frame. I'm pretty sure that's him.

19:59Yeah, Luke was with us in San Francisco two

20:04weeks ago and he doesn't like swag.

20:07So every time they give him a t-shirt or a

20:10hoodie or something he's like, "No, I'm not

20:14going to wear it."

20:15Oh God. I've muted the audio for a little

20:18while as we get started. I think you can do

20:20feedback.

20:21There's also a Remo group actually. If you

20:24want to sort of just be in a room with

20:26people virtually,

20:27there's a Remo that's Tableau set up that

20:29you can join for the keynote.

20:31Of course, we don't want you to leave but

20:33also for the whole entire conference.

20:34So that's a really cool place to go hang

20:36out beyond this live stream and any other

20:39sort of watch parties you might be taking

20:41part in.

20:41So what's the main thing you're interested

20:44in and excited for this keynote?

20:46You know, for me, earlier on before the

20:49stream, we ran a little sort of poll

20:53and we asked a few people what they wanted

20:56to see from conference.

20:57In fact, let me get this up on screen. So

21:01here we go. Let's mute that.

21:07If I just go to my primary display, you can

21:09just see this here.

21:10So we asked, "Look, what do people want

21:13from the keynote?"

21:14We haven't had as many responses. So if you

21:17want to go in and add a response,

21:18by all means go ahead and do so StrawPaul.

21:21live and then use the code.

21:23And I sort of cooked this a little bit

21:26because I put the selfish things that I

21:28want in there.

21:28But you can of course add your own options

21:31as you enter the poll.

21:32And I think the low-hanging fruit is the

21:34stuff that I really want to see.

21:35There's just so many features that we haven

21:38't...

21:38Tableau haven't just picked off the ideas

21:41page for the last decade and just knocked

21:44them out of the park.

21:45And a few of those have sort of made it

21:47through recently.

21:47But I'd love to just see for the next year

21:50or two,

21:50let's just close off all those really

21:53annoying small things that we'd love to do

21:55with Tableau that I think feel easy.

21:58They feel like they should be possible.

22:00Yeah, I went through the ideas form just

22:03before we started and I was like,

22:04"Maybe we should take off some of these."

22:06I sorted on like... Someone says it's a

22:10nice pie, so yeah, it's quite cool.

22:13I don't get to choose the chart.

22:15Yeah, maybe we should sell some Tableau to

22:19Straw Poll so they can do some embedded

22:22analytics.

22:22Yeah, no, so I see things like 10 years ago

22:27, Jonathan Drummy talking about conditional

22:29formatting of Meiji names and Meiji values

22:31as being one of the ideas on the forum. 10

22:34years ago.

22:3410 years.

22:35In technology, 10 years ago. That's such a

22:38long time ago.

22:39Yeah, that's like multiple cycles of

22:42product managers to the point where even if

22:45it started,

22:46it's probably not survived the different

22:48transitional teams of leadership and so on

22:51and so forth.

22:52Yeah, exactly.

22:54Let's switch back to the stream over here.

22:58So they're just getting ready.

23:00This looks like a more traditional setup

23:02now, I think.

23:03Yeah, I think so.

23:05One thing that we haven't seen though,

23:08which we will see, I think, is Astro.

23:11Oh yeah, Astro. The character, right?

23:15Yeah, Astro, the data rock star.

23:17Are they called characters? I think Sales

23:19force have a name for them.

23:20Personas or something like that. But yeah,

23:22Astro.

23:22I think they're called personas, yes.

23:26I've refreshed the poll. We'll come back to

23:30it a little later on for those asking.

23:34We are starting pretty soon anyway, so I'll

23:37stay focused on this for you.

23:39Yeah, more people in the Slack channel are

23:41asking if the keynote has started.

23:43It hasn't started.

23:47I think they are just making sure

23:51everything works.

23:53More copyright music in the background.

23:59I am 100% going to get a strike at the end

24:03of the day.

24:04Like even if you just have a slither of a

24:08song that sounds familiar, they're just so

24:11on it.

24:11So I think as long as you don't go over 20

24:14seconds, that's the fair use.

24:18Oh, we've got Francois on the stream as

24:20well.

24:20Yeah, that is very meta because he's

24:23supposed to be on stage as well.

24:25Yeah.

24:30Francois, if you're in the keynote and on

24:34our livestream, you've got some superpowers

24:37.

24:37So yeah.

24:40Amazing.

24:42Iron Viz build up in the background here.

24:46The bragging rights this year.

24:48We have some scenes as well when they did

24:51virtual of course.

24:52It's really good how they still try to do

24:56that.

24:57But yeah, Francois is hanging out backstage

25:00.

25:00Amazing.

25:06Super cool.

25:10So if anyone has any feature or product

25:13requests, you need to send them in now.

25:15Now is your time.

25:17You could sneak them into the keynote the

25:21next minute or so.

25:22So Francois, looking forward to seeing the

25:24livestream.

25:25Keynote is going to rock.

25:26Absolutely agree.

25:29You can catch the livestream afterwards as

25:31well.

25:31It will just be immediately on YouTube for

25:33anyone who wants to replay, watch anything.

25:35I'll try and do clips as well because I

25:37appreciate watching the whole thing.

25:38Might take a while.

25:39So I'll probably cut them into shorter

25:41videos and make them more accessible.

25:43So I might spam the YouTube feed for a week

25:46or two.

25:46But we'll get them in.

25:47Drop them in as YouTube shorts maybe.

25:50Like really quick ones.

25:51Don't get me started on editing YouTube

25:54shorts there.

25:55That's too difficult.

25:58I've literally started and tried to make

26:01shorts so many times.

26:02It's one of those things that I think I'm

26:05just not in that mind frame and sort of

26:08demographic that understands the format

26:10really, really well.

26:11And screen-shared content is also not ideal

26:14for it.

26:14Yeah, true.

26:16Can kind of be a little bit difficult.

26:19Yeah.

26:24There's someone asking me on Twitter if I

26:26just made the account.

26:27No, I didn't just make the account.

26:29I've just never streamed on it.

26:30I've actually had the account for a long

26:32time.

26:32But yeah, it probably looks like I've just

26:35made the account.

26:36Francois is ready to go on stage now.

26:40I think it's going to happen.

26:41It's going to start very soon.

26:47Amazing.

26:48I think I'll move this over here.

26:49I'm sort of slowly figuring out the best

26:51position for everything as we go.

26:53I'll put these on the left and the chat on

26:58the right.

26:59I do love the honest, like the brutal

27:02honesty of this comment though.

27:05Someone is watching on Twitch and just, you

27:09know.

27:13Someone's looking at Remo and is

27:17disappointed.

27:18Good.

27:20For next year, what we need to do is

27:22introduce a hashtag

27:23and then people can send in photos of where

27:26they are watching

27:26and how they are watching.

27:28Exactly.

27:31I think one of the things I did last year

27:33is I realized that people aren't all on

27:35YouTube

27:35and I think this stream is proving that.

27:37Most people have actually joined on

27:39LinkedIn.

27:40I wouldn't have said that before.

27:42But essentially meeting people where they

27:44are I think is a good thing.

27:45And Twitch I think is an underused platform

27:49.

27:49So I'm just using a service that's

27:51streaming to everything.

27:52We'll see what happens and then yeah.

27:55Anyway, we're about to go to the live

27:57stream.

27:57Cool.

27:58We have about more than 60 people live with

28:01us at the moment.

28:02Cool.

28:04[Music]

28:21We're just getting started.

28:23[Music]

28:41If you're wondering what the delay is, it's

28:44going to be considerable

28:44because I'm actually streaming to a service

28:49called Restream

28:50and they're restreaming it to multiple

28:52platforms.

28:52So there'll be a bit of lag.

28:54[Music]

29:01Yeah, to be honest, you'll probably see new

29:03features being announced

29:04about 20 seconds later.

29:06But before you can actually use those new

29:09features,

29:09it's going to be like multiple days a week.

29:11So I wouldn't worry too much about not

29:14seeing everything live.

29:16Here we go.

29:18[Music]

29:39Oh gosh.

29:41This is the band that did all the funny

29:43videos last time, right?

29:45The funny videos?

29:46Did you call them funny?

29:48[Music]

30:13Eurovision for next year.

30:15Hello, Andy.

30:17Hello, Tableau.

30:19Here we go.

30:20Hello, Tableau.

30:22Tableau.

30:2422, give it up for Tableau's tech evangel

30:27ist,

30:27House of Iron Biz, and the host of

30:30literally one of the most fantastic.

30:32It is Andy Pangree.

30:38Tableau Conference 2022, like, hear the

30:41energy in the room.

30:43Come on.

30:45That is not bad energy, but I think you can

30:49all do better than that.

30:51Let me hear a cheer from the analyst.

30:53We'll do one on the stream.

30:56Yeah.

30:57Pretty good. Not bad, not bad.

30:59Let me hear it for our international data

31:03fam.

31:04Yes.

31:06That was good down the front line.

31:08I like the cheers.

31:09All right, now, how about a big, big, big,

31:12just, just, just a little distillation?

31:15Not many. That's good.

31:16You are here to rock for the Tableau

31:18Conference, right?

31:20Yes.

31:21Okay.

31:22I want to take a couple of minutes to show

31:24some appreciation for the people who make

31:27the data fam the best in the world.

31:30If you are one of these people, I want you

31:32to stand up and bask in a huge cheer from

31:34everybody.

31:35I can hear Spanish, can you?

31:37We stand if you are a Tableau visionary.

31:38There's something in the background going

31:41on.

31:41Oh, you have the, did you have the finger

31:44on?

31:44No.

31:46These are the people that push our product

31:49to the very frontiers of existence.

31:51Now, stand up.

31:53I don't have it on.

31:55Yeah, because someone is live captioning

31:58this.

31:58Thank you.

31:59I think they've got the feed wrong.

32:00Is it just me or is it on the main feed as

32:04well?

32:05Let me see this like, yeah, anyone else

32:08getting Spanish, Spanish boys over.

32:12You are later.

32:14The Spanish is coming from the mainstream.

32:18The Spanish is coming from the, yeah, props

32:21to the translator.

32:22It's very good for the translator to keep

32:25up with this.

32:26So, yeah, if you can see the, you can see

32:30my caption here on the left hand side.

32:31It's set to English, so that shouldn't be

32:33coming through, but.

32:34Yeah, and the main Slack channel says the

32:37same.

32:37Yeah, cool.

32:38Or Andy Cottgrith has all of a sudden

32:41studied Spanish, but I don't think so.

32:45Yeah, more people hearing Spanish.

33:03This guy's got some swagger with his jacket

33:08. I love it.

33:08I think they fixed it now.

33:10They are working on it now.

33:11Ryan Melling from Tableau says that they're

33:13working on it.

33:14Cool, cool.

33:20Mis amigos aquí.

33:22All my friends here.

33:30I love it.

33:35Let's try that again.

33:44Okay.

33:45Okay.

33:49One, two, three.

33:50[Music]

34:16Yeah, a few people are complaining about it

34:28.

34:28I apologize to anyone who's watching this.

34:34Just take the opportunity to learn some

34:36Spanish.

34:37No, I'm not concerned.

34:44Spanish has the English track, let's see.

34:50Yeah, they are working on it and they are

34:52removing it.

34:53I'm just checking the Slack channel.

35:00There is Mark Nelson.

35:02Here we go.

35:07Not liking this translation, no, you're not

35:17the only one.

35:20Okay.

35:25Awesome.

35:26Oh, maravilloso.

35:28Maravilloso.

35:30Are you excited to be here?

35:33It is amazing.

35:35We are here.

35:37Because TC has always been the biggest CEDA

35:41event of the year.

35:42Oh, wow.

35:43The suggestions they're giving in the Slack

35:45channel is to turn on captions and turn the

35:48volume off.

35:49Welcome home, Deisam.

35:51Because it has been way too long.

35:55And the reconnections that have already

35:58happened are amazing.

35:59I walked around the conference center for a

36:01few hours last night.

36:02I got more selfies in the room.

36:04That's really difficult to see.

36:07Let me check if there's a YouTube feed.

36:10No, there is everywhere.

36:12This is everywhere.

36:13You won't see it anywhere else.

36:15This is on all channels.

36:17Even the Tableau channel.

36:18The Tableau channel as well, yeah.

36:20Oh, okay.

36:21Never mind.

36:22So let's get to it.

36:24We have an amazing conference ahead.

36:28This morning we're going to have three

36:30amazing customer stories showing the value

36:34of data.

36:35This is really tricky, isn't it?

36:39It's tough enough listening.

36:40Yeah, the translation is hard.

36:41It is louder.

36:43It's a tough enough lesson to us over

36:52Spanish, over Mark.

36:58Watch American Sign Language to fix the

37:03translator.

37:04We click on the sign language.

37:09That does it, yeah.

37:11There we go.

37:12Boom.

37:13Genius, whoever that was.

37:20We had a few people drop off, but apologies

37:23.

37:23That was out of our realm.

37:27I will do this.

37:28We'll go on better and we'll have the sign

37:29language visible and us visible.

37:32There we go.

37:33We're accessible here.

37:35None of which would be possible if it weren

37:37't for our amazing sponsors, especially our

37:41diamond sponsors.

37:42Now I think it's coming out of my right ear

37:44for some reason.

37:45They've mixed it only to one channel.

37:49You made TC22 a reality.

37:52We're grateful for your support and a big

37:56thank you to you.

37:57A huge thank you to all of you, our Tableau

38:00community, rock stars, visionaries,

38:04ambassadors.

38:05You inspire everything we do.

38:08We are truly grateful for all of you.

38:11We're blown away by the difference you make

38:15with data.

38:16Let's take a look.

38:17How's this?

38:18That's fantastic.

38:20You ready to get cracking?

38:21If I go too long, you guys have like an air

38:23horn or something?

38:24Let's go.

38:27The Tableau community has been a lot of

38:32changes for me.

38:33I mean it really is kind of a rock and roll

38:35culture.

38:35People are interested, friendly, supportive

38:38.

38:38Amazing.

38:39They embrace you.

38:40It makes me feel happy.

38:41The Tableau community is my second family.

38:44I live in Lagos, Nigeria.

38:45Belgium.

38:46Yeah.

38:47Bangkok.

38:48I think the American Sign Language channel

38:51comes in on the right speaker, on the right

38:55channel of the main group.

38:57It's fine.

39:00It's fine.

39:01This is better than...

39:02Otherwise there's three different voices,

39:05right?

39:05Yeah.

39:06The audio from the stream comes from the

39:07left speaker.

39:08I have the same.

39:09Everyone is saying that.

39:11That's not me.

39:15That's the actual stream itself.

39:19Being a student ambassador gave me the

39:21ability to teach and empower other students

39:23.

39:23It's really important for me to be a mentor

39:26, taking time to help others grow.

39:28I'm trying to see if I can force...

39:31The whole Slack channel goes wild about the

39:34Spanish translator because they keep on

39:36missing that you need to go to the ASL.

39:41Hopefully we get a few more people as a

39:44result.

39:45Yeah.

39:46And fun.

39:47My voice being buried up.

39:49Future starts now.

39:50Go get it.

39:53[Applause]

39:59That was awesome.

40:00Good friends in data places.

40:03We love our data family so much.

40:06We see your passion for data and it makes

40:09us hopeful, but we have a lot of work to do

40:13because we have a gap.

40:15We have a data gap.

40:17We know that 83% of CEOs...

40:19Tablet trough from Ravi.

40:20...want their organizations to be data

40:22driven.

40:22And yet only 34% of organizations actually

40:25believe they're getting to that state.

40:28And there are a lot of things that stand in

40:30the way.

40:30Okay, they say it's fixed now on the Slack

40:32channel.

40:33Okay.

40:34The data can't ever grow and ever speeding

40:35up amount of data that is coming at us.

40:36Unless you want to keep accessibility.

40:38Yeah, let's do that actually.

40:43The ability to get data cultures into every

40:45organization.

40:46So you can really use that data.

40:48And of course getting the right data tools

40:51in everyone's hands.

40:52And now is the time for data.

40:55Because we live in an ever-changing world.

40:58It's changing so fast and unpredictably.

41:01And data is the answer on how to navigate

41:04that world.

41:05But before we do that, we have to close

41:09that gap.

41:10This is why we...

41:11Almost 100 people tuning in.

41:13Yeah.

41:14And that's what we're going to talk about.

41:15It's incredible.

41:17And as we look at all the work ahead of us

41:19to do that, we have a superpower.

41:22The last time we were together here in

41:25Vegas, we were announcing Tableau's action

41:28...

41:28Corey is here.

41:30Whenever I'm asked...

41:31Corey, hello.

41:34I say the same thing.

41:36It's like chocolate and...

41:37Absolutely hello.

41:38On their own, spectacular.

41:41Together, spectacular squared.

41:44I mean, think about it.

41:45The leader in analytics joining together

41:48with the number one customer relationship

41:51management platform.

41:52It's almost too good to be true.

41:55Interesting.

41:56And think about the communities that are

41:57involved.

41:58We have our 1 million strong data...

42:01Paul Hunt thinks you're a much better co-

42:02host, aren't you?

42:03Salesforce brings an even larger...

42:08Love it.

42:09We're thrilled to be bringing...

42:11We're doing a giveaway later, Paul.

42:13But this relationship goes well beyond our

42:16amazing community.

42:17It goes well beyond our amazing

42:19technologies.

42:20The key to this relationship is shared

42:22values.

42:23That's what makes the combination so

42:25special.

42:26Everything Salesforce does is guided by

42:29values.

42:30I think it would be...

42:33It would be tough for Mark to get away with

42:35starting a keynote without mentioning Sales

42:38force.

42:38Just in response to the comment from Twitch

42:41.

42:41So someone mentions that we should stop

42:44talking.

42:45But this is a live reaction feed.

42:48If you want to see the feed without us,

42:51then go to TC22.tableau.com.

42:53Exactly.

42:54Over a half billion dollars in grants.

42:58Add to that the Tableau Foundation and our

43:01data for good $100 million in grants.

43:046.7 million volunteer hours by Salesforce

43:07employees.

43:08Over 50,000 organizations that are doing

43:12good in the world with Salesforce software.

43:15Shared values are a great foundation for

43:18any relationship.

43:19But when we thought about the product

43:21potential of these two companies coming

43:22together, that's when we got really excited

43:26.

43:26When Tableau joined Salesforce, everything

43:29...

43:29This is a hard, hard pitch.

43:31... bigger, faster, and more powerful.

43:35Hard pitch.

43:36Start with the Salesforce Customer 360.

43:40Salesforce built its business on the idea

43:42that nothing is more valuable.

43:44I think my biggest critique with all of

43:46this stuff is that if you use Salesforce,

43:49this maybe is true.

43:52I don't know.

43:53But if you don't use Salesforce, I don't

43:56think Salesforce 360 is helping you at all.

43:59If anything, it's probably getting in the

44:01way of the features you want to see.

44:03Because a lot of effort is getting put into

44:06integration technologies between the two

44:09platforms.

44:10Yeah, what I typically hope is that when

44:13they build out the capabilities and the

44:16APIs to connect to all of these different

44:17Salesforce components,

44:18that they also make those available to

44:22developers.

44:24If we think about the Slack integration, it

44:26would be great to then be able to create a

44:28Teams integration or a, well, a convo

44:31integration.

44:32Yeah, exactly.

44:35And every one of those Customer 360 clouds

44:38is a gold mine of...

44:40Why are we talking?

44:41Tableau lets you unlock, see, understand...

44:45Sorry, Darius. It's a reaction live stream,

44:49so that's why we're talking.

44:53Normal Salesforce components don't work

44:55properly.

44:56Okay, yeah.

44:58Yeah, it's been a bit of a rocky

45:00integration period at the moment, moving

45:03Tableau but also Slack and MuleSoft into

45:06the ecosystem.

45:08To be frank, I don't think we're going to

45:11see a full integration.

45:12Salesforce is just still going to consider

45:14them as separate products.

45:16With the Tableau connector to the CDT.

45:19And with those insights, of course, you

45:21want to take action.

45:22That's why we've connected Tableau to Sales

45:25force Flow with Tableau Action.

45:28All right, so today we're going to talk

45:30about data everywhere for everyone.

45:32We have some special effects, though.

45:35We're going to start with Jeff Lu.

45:37We'll take a faster time to value in

45:39pushing its sustainability goals.

45:41We're going to talk about Standard Charter

45:43Bank.

45:43They're here to talk about the value of

45:46building a data culture and how we can make

45:50work matter.

45:51And we'll share an inspiring story from

45:54Feeding America that shows the power to do

45:58more with data.

45:59So let's get started.

46:00So first, customer session, right?

46:04Yeah, so we'll see some product

46:06announcements later when Francois comes on

46:09stage.

46:10Yeah, exactly.

46:11So typically, Tableau have customers come

46:15on and essentially support the message that

46:18they're trying to get across over

46:20conference.

46:21And they work closely with those customers.

46:23Obviously, there's a little bit of

46:24collaboration in terms of what they say and

46:26stuff like that.

46:27But those customers typically do sort of

46:30align with Tableau's EPROS for that

46:32conference, if that makes sense.

46:40If you do want to switch to the other one,

46:43I'm just checking out these because the

46:45audio on this one is a bit low.

46:47The other one is better, right?

46:49Yeah.

46:50Tableau Cloud.

46:51Tableau Cloud.

46:52Oh, hey.

46:53In fact, in fact.

46:54It's available today.

46:56And we've got some exciting new features.

46:58I've muted it for the thing.

46:59We'll come back to it.

47:00Okay.

47:01We've got more than 100 plus accelerators

47:04that will be available on the Tableau

47:06exchange.

47:07Soon, you'll be able to, woo.

47:09And soon, you'll be able to-

47:11Can you go to full screen?

47:12Yeah, yeah, hold on.

47:13I'm just switching it over.

47:14Okay.

47:15Can plug in their data into prebuilt dash

47:18boards and be up and running with value

47:21immediately.

47:22There we go. That's a bit better.

47:23For large enterprise customers-

47:24Okay.

47:25So we're now announcing Tableau Cloud.

47:27So Tableau Online is going to be renamed to

47:29Tableau Cloud.

47:30-management capabilities.

47:32This will provide richer data preparation,

47:35better governance, tighter security, and

47:38easier ways to share.

47:40We want to make it easier for everyone to

47:42collaborate.

47:43So we're going to put data right at the

47:45center of every conversation by joining

47:48together Tableau Cloud and Slack into an

47:50enterprise bundle.

47:52To help kick off Tableau Cloud, we're also

47:55excited to announce an extended trial

47:56program.

47:57Cool.

47:58We're also expanding our strategic

48:00partnership with Snowflake by offering free

48:02-

48:02Can you move our icons over?

48:04We'll make these-

48:05We're hiding the announcements.

48:06-next few weeks.

48:07Put it back to where it was before.

48:08Now, I want to share a story from a Tableau

48:11Cloud customer.

48:12And it's hard to imagine a better customer

48:15to share experience from the cloud than Jet

48:18Blue.

48:19JetBlue is using Tableau Cloud to get

48:21better speed and value.

48:23Nope. Nope. Nope.

48:25Nope.

48:28Get off the stage, Mark.

48:31JetBlue can't wait for you to start to

48:32finish.

48:33Everyone has to fly. Everyone has to

48:35commute. Everyone has to travel for

48:36business.

48:37But we want our customers to love flying

48:38JetBlue.

48:39We want air travel to feel exciting.

48:42Airlines are this incredibly complex system

48:45. You have a lot of moving pieces and a lot

48:47of variables.

48:48One of the challenges with an industry as

48:50complex as ours is there is no lack or

48:53shortage of data.

48:54You have data coming off the aircraft. You

48:55have data coming off the flight planning

48:57system.

48:57You have data coming off the fueling truck,

48:58coming out of the cockpit, coming out of

49:00the airport.

49:01We have data coming out of our ears.

49:03Data is everywhere.

49:04It's impossible to always have your eyes

49:06everywhere you need them to be.

49:07Tableau Cloud has been tremendous for us.

49:09When you can see and understand your data,

49:11you start seeing and understanding your

49:12problems.

49:13It allows our leaders to have greater

49:14visibility. Decisions come faster and

49:17communication flow is quicker.

49:20In my role, to have a bird's eye view of a

49:23variety of different metrics around the

49:25business and to help me know where I need

49:28to focus, it's really incredibly important.

49:31We can help lead the way to a lower carbon

49:34future of aviation, but it starts from very

49:37real action and commitment from ourselves.

49:40Take fuel consumption for example. It's a

49:42problem for every airline.

49:43When we use less fuel, we save money as a

49:46company, but that is also great for the

49:48environment and we run a more sustainable

49:51airline.

49:52An airline is talking about the environment

49:54here.

49:54We've been able to use Tableau Cloud to

49:56develop a set of fuel dashboards that have

49:59given us so many insights.

50:01Now we can identify which flights are

50:03working out more fuel and we can really

50:05start addressing the problem.

50:07The data itself just opens up so many doors

50:10.

50:10The e-commerce dashboard helps me

50:12understand what our booking rates are, what

50:14our conversion rates are.

50:16I can see the trends, I can compare them to

50:1930 days ago.

50:21It's definitely made a difference to our

50:22bottom line.

50:23When you use Tableau Online, Tableau Cloud

50:25and mobile as well?

50:26Yeah, yeah.

50:27It gives us insights that we haven't had

50:29before and it also allows us to offer this

50:32new level of transparency.

50:34This is really going to change the game in

50:36JetBlue and upskill everybody.

50:37How do you put a price on that? That is

50:38like priceless to me as a person who tries

50:40to run a data organization.

50:42We are definitely on our own cloud

50:44transformation journey and we're really

50:47just scratching the surface.

50:49Good stuff.

50:50[Applause]

50:56Okay.

50:57Woo.

50:59Wow. It's so amazing to see the impact

51:02Tableau Cloud is having at JetBlue.

51:04Now to walk through some of the exciting

51:06new features in Tableau Cloud.

51:07There he is.

51:08Please welcome Alex Caldwell-Wedman.

51:10Oh, Alex.

51:11Okay.

51:12[Music]

51:13This is not Devs on Stage yet, or is it?

51:16No, no, no, not yet.

51:17No.

51:18It might be. It might just be just

51:20happening.

51:21[Music]

51:27Thanks, Mark. I'm Alex. I'm a Director of

51:30Product and I'm super excited to share with

51:32you today how easy it is to get started

51:35with Tableau Cloud.

51:36Tableau Cloud is the best of Tableau fully

51:39hosted in the cloud.

51:41It allows your teams to share data and to

51:44collaborate and it's always up to date on

51:47the latest version of Tableau.

51:49So you're going to get access to the latest

51:52and greatest innovations as soon as they're

51:54available.

51:55And you can get up and running in minutes.

51:57Like you just heard from JetBlue, getting

52:00started with Tableau Cloud is incredibly

52:02easy.

52:03In fact, I'm going to show you how right

52:06now with accelerators.

52:08Accelerators accelerate your time to value

52:11with pre-built dashboards.

52:13In Tableau Cloud, we have accelerators for

52:16your most common data sources such as Sales

52:19force, Aliqua, Marketo, and more.

52:22And we have hundreds of additional acceler

52:25ators in the exchange.

52:27Rapidly build out robust dashboards

52:30tailored to your use case and your industry

52:31.

52:31I've been quite critical of accelerators.

52:33The few that were built a long time ago.

52:35All you have to do is download them and go.

52:38The ones they added in the last few months

52:41have been great.

52:42But the community ones look pretty good.

52:45The ones the community are making look

52:47pretty solid.

52:48But that's not all.

52:50Tableau Cloud is a great way to share data

52:53securely with your teams and with your

52:55authentic accelerators.

52:56Keep in mind these accelerators can be used

52:58also if you have Tableau server.

52:59But what if I want to share data externally

53:00with the public?

53:01Just download them.

53:02What if I want to share it with the world?

53:04Well, Tableau Cloud is helping with that

53:08too with the ability to share publicly.

53:13This is really cool though. I know what

53:14this is.

53:15JetBlue shared how invested they are in

53:17championing sustainability.

53:19Andre and I have to be careful with that

53:20giveaway.

53:21Using their data from net zero cloud and

53:23the environmental, social, and governance

53:25impact accelerator that we looked at

53:27earlier,

53:27they were able to easily create this

53:29dashboard so that they can share their

53:32environmental impact data.

53:34And they want to share it with their

53:36customers, their shareholders, and the

53:38public.

53:39So let's take a look and make sure that

53:42this dashboard is ready to go.

53:44And it looks good.

53:46And now we're going to confirm that we're

53:48ready to share it with the public.

53:50And embedding my dashboards with Tableau

53:52Cloud is easy and intuitive.

53:54I'm even given the code that I need to

53:56embed this on my public-facing site.

53:58And I can embed it anywhere I want.

54:01It could be a portal, it could be a website

54:03, it could be a wiki.

54:05JetBlue is using Salesforce Experience

54:07Cloud.

54:08So let's take a look.

54:11JetBlue has shared out their environmental

54:14impact dashboard.

54:15And they've also added information about

54:17how their customers can use their true Blue

54:19Points to make charitable donations.

54:22In case they're looking for even more ways

54:25to give back.

54:26You've just seen how Tableau Cloud makes it

54:29easy to create, share, and embed your dash

54:32boards.

54:33But it's not just about ease.

54:34Yeah, these sections will be available

54:35after the conference.

54:36It's also scaled for enterprise.

54:38To tell you more, I'd like to introduce my

54:40partner in crime and the person who

54:42approves my expense reports, Kitty Chu.

54:48Great content.

54:49Someone didn't get the holiday.

54:56Thanks, Alex.

54:58To Ravi's point, it's not on-prem.

55:01And I'm so excited to be here today.

55:04You just heard from Alex about how quickly

55:07anyone can get started in Tableau Cloud.

55:11But when you have more people, when you

55:14have more data, and when you have more

55:17insights,

55:18you need the fastest and most secure way to

55:20bring all those moving parts together.

55:23We are making it easy for administrators to

55:26manage Tableau Cloud at enterprise scale

55:30with better security,

55:32more compliance, and better governance.

55:36Customers have been asking us for the

55:39ability to have sites in Tableau Cloud so

55:42that they can manage security and content

55:45more easily.

55:46Well, we listened, and I'm thrilled to be

55:49introducing multi-site management for Table

55:52au Cloud.

55:53Woo! Woo woo!

55:56Perfect.

55:57Let's take a look.

55:58It's not working. I think I killed it in

55:59the audio channel.

56:00Here, imagine that I'm the administrator

56:02for JetBlue's Tableau Cloud deployment.

56:05So this is for what Tableau Mind customers

56:08have wanted for years now.

56:10And I'm taken to a summary view of all the

56:12sites in my Tableau Cloud deployment.

56:14Yeah, that's pretty cool.

56:16Tableau Adoption has been really taking

56:17part in that.

56:18I'd be interested in the licensing model

56:19around it.

56:20In fact, my supplier team has just reached

56:21out to me, and they're interested in

56:23onboarding to Tableau.

56:25With Tableau Cloud, sites are your easy

56:27button for governance.

56:29That's interesting.

56:30And due to the nature of supplier contracts

56:32, I want to create a new dedicated site for

56:34them.

56:35Okay.

56:36Well, I can do that right through those

56:37experience.

56:38I put a lot of embedding use case, because

56:40this is super useful.

56:41And I select a location.

56:43I can pick from any region.

56:45Like specific regions.

56:46That is very good.

56:48This is for embedding so good.

56:50That is good.

56:51With the sharing features, yes.

56:55100%.

56:57Nice.

56:59That just literally knocked on-prem out of

57:03the park.

57:04Because I said the number one thing people

57:07ask for on-prem to deploy in different

57:09regions.

57:10Tableau Cloud is where it's at.

57:12And they're probably using the AWS backbone

57:15for that.

57:16Hopefully.

57:18Love it.

57:22Okay.

57:26Nice.

57:32That's pretty good.

57:37And once this encryption key is created, I

57:41have full control as an administrator over

57:43managing and rotating this encryption key.

57:47Customer managed encryption keys and more

57:49will be part of our new advanced management

57:52offering coming later this year.

57:54Here we go.

57:56They rebranded server management into this

57:59new advanced.

58:00But wait.

58:01There's more.

58:02As an administrator, it's so important for

58:05me to be able to see and understand data.

58:07About how Tableau is being used in my

58:09organization.

58:10So I can help drive adoption or diagnose

58:13issues.

58:14With Tableau Server, administrators have

58:17access to the Postgres repository, which

58:19gives them all the metadata about how Table

58:21au Server is being used so they can

58:22understand Tableau Server performance.

58:25Well, with Tableau Cloud, we are providing

58:29you that same data via Admin Insights.

58:32Admin Insights comes with every Tableau

58:36Cloud site.

58:37It is a set of published data sources and a

58:39starter workbook.

58:41You have to enable it, though.

58:42This is Tableau on Tableau.

58:45We are using Tableau to understand the

58:49usage of your Tableau deployment.

58:53Let's drill in and take a look.

58:55Yeah, you have to enable it.

58:57It doesn't come switched on.

58:59I can see that most of my seats are

59:02assigned and I still have plenty of space.

59:06That's beefy online deployment.

59:09What I'm really interested in is

59:10understanding adoption.

59:121,500 seats.

59:13What views are people on my site accessing?

59:16It's called ARPO, I think.

59:18Here I see the traffic to my site.

59:22Interesting.

59:23I see that there was a spike in traffic on

59:25April 24th.

59:26Someone wants to share their dashboards on

59:29MySpace.

59:30I think the '90s called.

59:32It looks like it's coming from the JetBlue

59:35ESG dashboard that Alex just published.

59:39It must be the environmental and social

59:42governance impact dashboard that she shared

59:45publicly.

59:46And it's really taking off.

59:48Interesting.

59:49You know what?

59:50I'm going to have to invite Alex to our

59:51next JetBlue internal user groups meeting

59:53so she can share her best practices and

59:55tips and tricks.

59:56Nice.

59:57But that's just the tip of the iceberg.

59:59Always is.

60:00All these dashboards are built on published

60:02data sources.

60:03Published data sources.

60:04Which means you can customize and explore

60:06this data however you want.

60:07And we are continuously expanding admin

60:10insights with more dashboards and data

60:13sources

60:14so you can answer more questions.

60:16Yeah, exactly.

60:17And it refreshes data, I think.

60:18Tableau Cloud administrators will now have

60:19the tools and data they need

60:21to fully manage, secure, and govern your

60:26Tableau Cloud deployment at enterprise

60:28scale.

60:29Back to you, Mark.

60:32Woo!

60:37Fist bump.

60:38Oh, fist bump.

60:39Awesome.

60:40Thank you, Alex and Kitty.

60:41It's how we're out of COVID.

60:42Great stuff.

60:43Fist bump's back.

60:44So we've shown you how you can move faster.

60:46Now let's talk about how we can make data

60:49make work matter.

60:51Make work matter.

60:52CEOs and others are really concerned today

60:55about attracting and retaining talent.

60:57Over the last couple of years, we've been

60:59all examining the work that we do and why

61:02we do it.

61:03People want their work to matter.

61:06They want it to have meaning.

61:08And data can certainly help us figure out

61:10what a good employee experience looks like.

61:13But we have to realize that data doesn't

61:16just point us toward the answer.

61:18Data is the answer.

61:21In fact, almost 80% of employees said that

61:24they'd be more likely to stick around if

61:26their company offers data training.

61:28Because think about what you're really

61:30offering.

61:31It's not just data skills.

61:33You're fostering creativity.

61:35Would you stay with the company?

61:36You're helping everyone grow and learn and

61:38grow in their jobs.

61:39You're giving people an opportunity to take

61:41an active role in what they do.

61:43The future of work is data driven.

61:47This is the future of work.

61:49Probably some Slack integrations we're

61:50getting now.

61:51To be fulfilled in what they do every day.

61:55Training.

61:56Now let's hear from a Tableau customer that

61:59's established a truly inspiring data

62:01culture.

62:02One that has revolutionized how the company

62:05uses and interacts with data.

62:07I think the Tableau blueprint will come up.

62:09Standard Chartered Bank is a global

62:11financial leader that has more than 87,000

62:14employees.

62:15Its executive director and chief product

62:18owner has been driving what he calls their

62:20YouTube for data.

62:22It's gotten more than 3 million views.

62:25Here all the way from Singapore, please

62:27welcome Sandeep Biswa.

62:30Welcome.

62:32I wonder what the hosting cost for that is

62:37like.

62:383 million views.

62:40That's serious.

62:41Thank you so much for being with us here

62:42today Sandeep.

62:43Thanks for coming all the long way and I

62:45hope that you've gotten used to the Vegas

62:47time zone by now.

62:48So welcome to TC.

62:50So let's leave this off by talk a little

62:52bit about what data means to Standard

62:53Charter and why it's important to the bank.

62:56Thank you so much Mark for the welcome.

62:58Such an honor and pleasure to be here at TC

63:01.

63:01It's probably not just Tableau as well.

63:03Before I answer the question I would say

63:05Tableau Conference is one of the most

63:06meaningful.

63:07Someone in the Slack channel has a t-shirt

63:10that says, "We Tableau'd your Tableau so

63:13you can do more Tableauing."

63:15I have benefited a lot from the past.

63:19Learning from other customers of Tableau

63:22and from experts and best practices.

63:25So it's a great event and such a pleasure

63:28to be here.

63:29Now coming to the question, there's a

63:32popular phrase, "Data is the new oil."

63:35Oh, there it is.

63:37Data is water and oxygen.

63:39It is very critical for businesses to

63:41survive and thrive.

63:43It helps to make better decisions faster.

63:46It helps to understand the past and predict

63:48the future.

63:49Now if I talk about Standard Charter Bank,

63:53it is in our DNA.

63:56It is a bank that manages a lot of risk.

64:00Credit risk, operational risk, fraud risk.

64:03So it is a critical enabler for doing data

64:07risk management.

64:09It helps in business development and client

64:11experience.

64:12The key.

64:13It also helps in improving our productivity

64:17.

64:17It is enabling our sustainability and net

64:19zero objectives as well.

64:21And it is a critical enabler for overall

64:23performance management of the bank.

64:25And we have gone a step ahead.

64:26We are giving analytics to our clients as

64:28well so that they can succeed.

64:30We are providing them working capital

64:33analytics and all of that.

64:35So it's really important for Standard

64:37Charter Bank.

64:38It accelerates business outcomes.

64:40The thing that the critical help there is

64:42every organization says that.

64:44The key thing is how.

64:46Awesome. Thanks for that.

64:47I love the line that says, "Data is like

64:48air and water."

64:49It's so much better for our customers.

64:51Yeah, measuring success is very difficult.

64:54So let's talk a little bit about how did

64:55you build a data platform

64:57and a data practice to meet all those goals

65:00?

65:00There we go. Come on. Tell us.

65:01That's a great question.

65:02As I just explained why data is critical to

65:03the bank.

65:04They won't say. It's a USP.

65:06The question is how to make it simple,

65:08accessible,

65:09to all at scale and speed so that everyone

65:11in the organization

65:12can make better decisions faster.

65:14So we built up our analytics platform on

65:17Tableau.

65:18We rolled it out across geographies and

65:20multiple functions.

65:22We scaled it from 100 users to 10,000 users

65:25in four years.

65:27Yeah.

65:29Wow.

65:32Is it on Tableau Cloud?

65:33One of the most important things was our

65:35democratizing analytics.

65:36Exactly, Jesse.

65:37We wanted to give it in the hands of--

65:38Tableau's role in it.

65:40--who understand businesses, who understand

65:42processes.

65:43So we did a lot of work on data literacy

65:46and data skills.

65:47And the platform is like a YouTube of

65:48analytics

65:49where people can come and create content,

65:51like analytics content, publish it,

65:53and people can consume content as well,

65:55right?

65:56So data is growing exponentially, and you

65:59need a platform--

66:00I should give him a call.

66:02--basically grow as well.

66:04And you need to think like a YouTube kind

66:05of a platform.

66:06So Tableau for us is very simple to use,

66:11and it has clearly lowered the bars to

66:14analytics.

66:15People have benefited a lot from this whole

66:17upskilling program.

66:19People have changed roles as well.

66:21No, they haven't left, hopefully.

66:2380% needs to stay.

66:241,000 plus dashboards.

66:26And anything is available on our platform

66:30today.

66:31Interesting.

66:32That's awesome.

66:33It's amazing to hear how you've scaled,

66:34and obviously it resonates with the

66:35audience.

66:36It's something for us all to strive for.

66:38So as we've talked about this, you've

66:40said the solution is inside the box.

66:42Maybe you want to explain what that means.

66:45Thanks, Mark.

66:46I would like to reiterate the solution is

66:48inside the box.

66:49So the context is like we constantly hear

66:51that we

66:52don't have enough data people.

66:54We don't have data people engineers in the

66:57organization.

66:59But if you look in the organization,

67:01we have thousands of people who are

67:02passionate,

67:03who have business expertise, who are eager

67:05to learn.

67:06This is a fair statement, but I don't think

67:08he's saying how.

67:09The question is how to make our people the

67:11data people.

67:12The solution is inside the box.

67:13We have people in the organization.

67:16So I would like to recommend that Empower

67:21your workforce with data skills.

67:25Don't stop at that.

67:27Give them tools like Tableau.

67:29He's just talking about culture.

67:31This is just the comments.

67:32There's nothing-- there's no feature here.

67:35So the question is, is he talking about

67:37Tableau Public?

67:39He's just talking about the Tableau

67:41deployment

67:42in his company and how they scaled.

67:46If there was only a tool that can show us

67:48how he can display scale, right?

67:51Available as well.

67:53Because it would be great to see user

67:54numbers increase,

67:55number of training sessions you've run, all

67:57those things.

67:58All right. Thank you so much to him.

68:00It's such a good example of the difference

68:02that a strong data culture can make.

68:04Yeah.

68:05And another great reminder why it's so

68:06important--

68:07I am not sold on that whole segment.

68:09I'm sorry.

68:10Now, six months ago, we announced our

68:12pledge--

68:13So many organizations make that pledge.

68:16This is what they said, 10 million, right?

68:18This is both our commitment to bridge the

68:20data literacy gap.

68:21Mm-hmm.

68:22And a call to action for everyone who

68:25believes

68:25in the power of data.

68:27The response has been overwhelming.

68:3139 universities have joined us.

68:33OK.

68:34Partners like Snowflake, Pathstream, and

68:36Coursera

68:37have committed time and resources.

68:39You can feel the momentum building.

68:42If you want to join us, come to the Data

68:43Village and--

68:45[AUDIO OUT]

68:48--silent.

68:49It's a stream.

68:52Everywhere and for everyone.

68:56Awesome.

68:57Now, next, to talk about how to do more

68:59with data,

69:00please welcome--

69:01It's getting slower now.

69:02--our Chief Product Officer, Francois Agen

69:04stadt.

69:05[MUSIC PLAYING]

69:06There we go.

69:07[APPLAUSE]

69:12Woo!

69:14[APPLAUSE]

69:16Changing pace.

69:17Hello, DC!

69:19It is so great to be here.

69:21Nice.

69:22I have missed this so much, and I've missed

69:25you so much more.

69:27Believe it or not, this is actually

69:29my 11th Tableau conference.

69:31That's crazy.

69:32Oh, yeah.

69:34And it kind of blows my mind to think

69:37how far we've come together.

69:39Yeah.

69:40You know, this entire data family,

69:42we've achieved so much together.

69:44Not only is this the time for data,

69:47it's the time for all of us.

69:49And the data revolution is on.

69:52And every single one of us, every single

69:55one of you,

69:56you have a front row seat to this

69:58revolution.

69:59So let's think back to the earliest days of

70:02the revolution

70:03and the earliest days of Tableau.

70:05Data was an underground thing.

70:09Only a very small number of people were

70:11using data.

70:13But those who did, they absolutely loved it

70:17.

70:17And when Tableau arrived, it sparked a

70:20movement.

70:21And a little community with a shared

70:24passion took shape.

70:26Data was punk rock.

70:29It was the Clash, the Ramones, the Sex Pist

70:31ols.

70:32And the community that formed around data,

70:35that's all of you, our punk rock data rock

70:39stars.

70:40Oh, yeah.

70:42Now, when we started Tableau,

70:44our goal was to get data in front of as

70:47many people as possible

70:49because we knew, we knew that data deserved

70:54a bigger audience.

70:56So what did we do?

70:58We took data out of the underground,

71:00we took it out of the dark little clubs,

71:03and we put it on the biggest stages in the

71:06world.

71:07And now, I mean, look around you.

71:10Look at where we are.

71:12Tableau Conference, it's a rock concert.

71:15There's literally a rock band right over

71:18there.

71:19Punk rock has arrived, and this is our time

71:23.

71:24This is the time for data.

71:28Francois really knows how to sort of rev

71:30people up, right?

71:31Uh-oh.

71:32And the thing is, he's just making this up

71:34while he's on stage, right?

71:35Yeah, yeah, he's ad-libbing here.

71:37For 15-year-old Francois.

71:39[CHEERING]

71:42[LAUGHTER]

71:44That's really me.

71:46And somebody's going to have to figure out

71:48why those cow slippers.

71:49No freaking clue.

71:53But for 15-year-old Francois, I was a punk-

71:55loving kid

71:56who more than anything in the world, I

71:58wanted to be a rock star.

72:00Good work.

72:01Well, right now, this, this is a dream come

72:03true.

72:04I'm now a data rock star.

72:07[CHEERING]

72:10And we're on this giant stage surrounded by

72:13my fellow rock stars.

72:15So thank you.

72:17And together, we're making incredible music

72:21.

72:21What's the word?

72:22And together, we're using data to build a

72:26better world.

72:28The corporate messages didn't quite land, I

72:30don't think.

72:30And seeing how customers like you are using

72:32data to make a difference,

72:34well, that's what motivates us every day.

72:36It's why we're so innovative.

72:38It's why we build more capabilities in our

72:39product.

72:40They prefer the use of the word data-

72:42informed instead of data-driven.

72:45So you're actually being informed by data

72:47rather than everything you do is driven by

72:49it, right?

72:51Not everyone spends their whole life in

72:52Tableau.

72:53They're just being informed by Tableau, and

72:55then they move on to the next task.

72:58That's a really good sort of nuance.

73:00Data is truly a force for good.

73:04And to show you that impact,

73:07I want to share a customer story that's

73:09close to my heart.

73:11Feeding America. Roll the video, please.

73:14[Music]

73:17A hundred percent agree.

73:18Francois.

73:19These stories are actually quite cool

73:20always.

73:21Feeding America has an aspiration where

73:25every single person

73:27has access to the foods that they prefer

73:30and the foods that they need

73:32in order to live rich, full lives.

73:36There is hunger in every single county in

73:38the United States.

73:40Even the ones that you think are the

73:41wealthiest,

73:42there are folks that are in need of

73:43charitable food assistance.

73:45We're a network of 200 food banks,

73:47and those food banks work with a network of

73:4960,000 partner agencies.

73:52We were using data that was a lot more

73:54static at the time,

73:55data that we were collecting quarterly or

73:57annually.

73:58The access to real-time data about the

73:59people that we're serving,

74:01it allows us to act in more real time to

74:03meet their needs.

74:04Previous methods of tracking the number of

74:06people we were serving each month

74:10is really archaic in an old school way.

74:13Spreadsheets, things of that nature.

74:18First we need to understand where are our

74:19neighbors who are facing hunger

74:22so that we can be in the communities to

74:24serve them.

74:25We need to know what kinds of foods do they

74:26want and need in their daily lives

74:29and are those the kinds of foods that we

74:30can provide.

74:32We can bring those two data sets together

74:34to say

74:34where are we distributing the food, what

74:35kind of food are we distributing,

74:37and who are the people that are receiving

74:39that food.

74:40That really starts to tell a much more

74:42comprehensive picture

74:43about what food banks and their networks

74:45really do.

74:46And that's the kind of thing that we're

74:47able to do with that daily data

74:49is make it more real and then react in real

74:52time.

74:53What is beautiful about a partnership,

74:57like the partnership that we have with

74:59Tumblr,

75:00is that it helps us to understand more

75:02deeply

75:03what it is that people do prefer.

75:05It helps us to understand what people need.

75:09It helps us to understand whom it is that

75:12we're serving all at once.

75:15Feeding America is here to build a movement

75:17, to catalyze a movement,

75:19to inspire this country to decide that food

75:22insecurity here is unacceptable.

75:25Data is helping us to do that.

75:27[Music]

75:31See, that message landed with me, I think.

75:33Such a much better message.

75:35Yeah, exactly.

75:37Wasn't that amazing?

75:39That's such powerful stuff, and it shows

75:42really the impact

75:42it can have on our communities and the

75:44people all around us.

75:46And today we're honored and remembered to

75:48have Feeding America

75:50as a chief operating officer.

75:52Katie, come on up.

75:54What a real use case is that.

75:57Exactly.

75:58There she is.

76:00[Music]

76:04What is that? A high five again.

76:06Welcome to TC.

76:07Thank you. I'm so happy to be here.

76:09It's great to be with all of you.

76:10It's fun listening to you.

76:11Yeah, turn that down.

76:13Well, Katie, I mean, let me tell you, it's

76:15incredible.

76:16The mic is really dialed in.

76:17You guys are going through a massive data

76:18transformation.

76:19Tell us a little bit about where you guys

76:20are and what you're doing.

76:22Yeah, I can illustrate for you all how

76:25impactful the modernization

76:27of our data has been by asking you all to

76:30imagine what it would be like

76:33if you only had data on your customers

76:36every four years.

76:40Okay, this was our reality.

76:43We relied on a quadrennial survey of people

76:47experiencing hunger

76:48across the country and used that and extrap

76:51olated from that for years.

76:52And now with our Client Service Insights

76:55platform,

76:56we have data in real time on a daily basis

76:59to understand

77:00what people facing hunger need and want in

77:02communities all across the country.

77:04That's really awesome.

77:05That's amazing.

77:07This is actually where real time is very

77:10important,

77:11which something Tableau has been not the

77:13best at, but it's improving.

77:16Online might be able to change that, right?

77:18We really have to be thoughtful about how

77:20we bring a national network

77:22of 200 food banks and 60,000 community-

77:25based organizations

77:26along on this journey.

77:28And we did that by first building our

77:30platform with the people

77:32who are going to use it, nothing new to all

77:34of you,

77:35people who are working in food pantries and

77:37soup kitchens

77:38and community-based organizations.

77:41And then we removed the barriers for their

77:43utilization of that platform.

77:46It's offered at no cost to them.

77:48Thank you to the Tableau Foundation and

77:50others.

77:51Graham, I agree with you on that.

77:53And we provide grants and technical

77:54assistance to help them use it.

77:56I'll start that comment and I'll come back

77:57to it a little later on.

77:58It's really important, which is making sure

78:00that data comes alive for them

78:03so that it's easy to see and understand.

78:06And again, the Tableau visualization makes

78:09that possible

78:10for people all across this country trying

78:12to do good.

78:13Amazing.

78:15So, Laura, what comes next?

78:16Where is data going at Feeding America?

78:18Yeah, so we are in the throes of adoption

78:21and we still have a lot of work to do.

78:23Like I said, we have a big network

78:25and we cover every county in the United

78:27States, including Puerto Rico.

78:29So we're working really hard to make sure

78:31everyone is using this data.

78:33The second thing, though, is we can see

78:35already

78:36the power of predictive analytics for our

78:38ability to be able to anticipate

78:41where demand for food assistance may occur

78:44so we can get the right food to the right

78:46people at the right time.

78:48I think these people have some breakout

78:49sessions as well during the conference,

78:52right?

78:52Yeah.

78:53Because it would be good to actually see

78:54their product

78:55and see what they're doing.

78:56Exactly.

78:57And harnessing the power of data to be able

79:00to connect

79:01and see where food insecurity is and how to

79:04get food there is our biggest problem.

79:05The toughest bit is the cultural bit.

79:07It's never really the solution.

79:09The solution is Tableau, of course.

79:11But it's how they've actually done it with

79:13people.

79:14Okay, one last question.

79:15What's one piece of advice you have for

79:17this community

79:18and the leaders all around us?

79:20Keep doing what you're doing.

79:22Keep doing it.

79:23Make data easy to understand for us non-

79:26data people.

79:28Keep it understandable.

79:30Allow it to be visualized so that we can

79:32get it into the hands of people who are --

79:36so many of you working with people who are

79:37making a difference in this world.

79:40That has been the gift that you all have

79:41given us

79:42and we're so much better for it.

79:44Well, thank you so much.

79:45Give it up for Katie Fitzgerald.

79:47That was great.

79:48Excellent.

79:49That landed better with me.

79:50I don't know why.

79:52Now, you know, when we hear stories like

79:54this,

79:55it's easy to see the difference that data

79:57can make.

79:58Yet study after study after study have

80:01shown that less than 30% of people

80:04have access to data and BI technology.

80:06Right.

80:07Think about that.

80:08That means that more than 70% of people don

80:11't have access.

80:13Seventy percent.

80:15That's crazy.

80:17That means that the majority of people

80:19around the world,

80:20they are hearing the music like you and I.

80:23So how do we reach them?

80:25How do we reach the other 70% of people?

80:28Well, one way is to make data speak the

80:32language of people.

80:34Now, most people, they don't speak data.

80:38And the thought of exploring data, that's

80:40just terrifying.

80:42So what do they do?

80:44They turn to somebody else.

80:46They call their fellow analysts, a data

80:48rock star,

80:49to do the analysis for them.

80:51And that person will have to go in and

80:53explore the data

80:54and pull out the insights every single time

80:56.

80:57Have you ever done a monthly business

80:59review?

81:00Basically what you're doing on behalf of

81:02the others.

81:03Now, for most analysts, that's a lot of

81:05work.

81:06That's tedious.

81:07It's time consuming.

81:08Well, we want to simplify that.

81:11What if the software could write the story

81:15for you automatically

81:18and pull out those insights automatically?

81:20I know where this is going.

81:22And that way, people could be able to use

81:24your data

81:25more effectively and reach more people.

81:28Caleb, I think what Francois means is that

81:31they don't have the means to interact with

81:34the data if they need it.

81:36So this is probably people that have been

81:38surveyed.

81:39So like, hey, do you have the right data to

81:41make decisions?

81:41And the answer is no.

81:43Well, we think this is the next step in the

81:46data revolution.

81:48And it's what we've done with data stories

81:51for Tableau.

81:52Are you guys ready to see it?

81:54Sounds pretty cool.

81:55All right, let's bring out Katie Hughes to

81:57see data stories.

81:58There she is.

82:14There's a wide band as well.

82:15It's pretty cool.

82:16Thank you, Francois.

82:18Hi, everyone.

82:19I'm another Katie.

82:21And I am so excited to show you how the

82:23power of storytelling

82:26will help you enable more data rock stars

82:29across your organization.

82:31Let me show you how.

82:33Their mics are really close to their mouth.

82:36Imagine you're an analyst at Pune America.

82:37Your organization does incredible work

82:39across the country

82:40in the fight against hunger.

82:42And you want to show that off.

82:45However, even with a great dashboard like

82:48this,

82:49it's not always obvious to your

82:51stakeholders

82:52and sometimes even you what's important.

82:56Now, with data stories, all you need to do

83:01is drag and drop,

83:05choose the worksheet you want to better

83:07understand,

83:09confirm the data is all pulling in

83:12correctly,

83:14choose the story, and voila.

83:18You automatically have an approachable

83:21story

83:22so that any user can understand the so what

83:27behind their data.

83:29Without a single click, a user can quickly

83:34and easily see

83:35that the increase in the number of meals

83:37distributed

83:38over the last quarter was driven by

83:41Minnesota, New York, and Pennsylvania.

83:45Yeah.

83:46And the increase in Minnesota specifically

83:49was pretty significant

83:51at 31%.

83:54Now, as I focus to understand the trend

83:58over the past year,

84:00you will see stories dynamically update.

84:03This is basically a Tableau extension, I

84:07think,

84:07because this is after an acquisition they

84:09've done

84:10about a year ago, I think.

84:12Was it Narrative Science?

84:14Were they acquired?

84:16And I have a feeling this might be

84:20either, I'm not sure where it's hosted.

84:23There's an extension that might be on your

84:24Tableau server

84:25or somewhere else.

84:27To ensure our Minnesota team is equipped to

84:30help

84:30the food banks match supply with demand.

84:32We'll talk more about this in a second.

84:39Well, there's a sound we all know and love.

84:41Ooh, slack.

84:42I thought that was my slack.

84:44Yeah, I was confused as well.

84:45I was like, hey, I turned all the

84:46notifications off.

84:48And this was all directly in my Tableau

84:51dashboard.

84:52Just think how long this would have taken

84:54me

84:54without data stories.

84:56Spoiler alert, it's many, many hours.

85:00I've tried.

85:02But zooming back out, even though the

85:04stories

85:05are built automatically, they're also

85:07customizable.

85:07Sam is super excited for this.

85:09So I as an analyst can go into the settings

85:11.

85:11Yeah, Frank made a good comment here about

85:14so what you can't do at the moment is

85:16communicate

85:17between the actual component that is being

85:21dragged in.

85:22Which is the number formatting based on my

85:24organization's

85:24preferences.

85:25And that it then starts filtering the rest

85:27of your

85:27dashboard.

85:28That would be great.

85:29That would, yeah.

85:30And update the confidence interval when

85:32relevant.

85:33Yeah.

85:35That would also be good training for

85:36something

85:37like Ask Data, right?

85:38If you could show that then people might

85:40need

85:40to write those kinds of sentences.

85:42Or bumping up the font in case you find

85:45yourself

85:45presenting in front of thousands like us.

85:48Yeah, so Ravi's talking about some formats.

85:51You can set some formatting here.

85:53And now streamline the communication of

85:55data

85:55insights via automatic dynamic customizable

85:58stories.

85:58Yeah, it's definitely in Power BI as well.

86:02But that's a Microsoft product.

86:04And look great on mobile.

86:07It's probably why it's here.

86:08What did I tell you?

86:09It looks really good, right?

86:12I want mobile as well.

86:13Even when I'm on the go and traveling,

86:15which all of us

86:15are doing for so now, I can explore and get

86:17value from my data,

86:18call from my mobile.

86:19Yeah, exactly.

86:20But it's a web component, so it should be

86:21fine.

86:22Just think how many new data rock stars

86:25there will be.

86:28And we won't have to wait long.

86:31Data Stories is already available in beta

86:33in Tableau

86:34Cloud and will be available in Server later

86:37this year.

86:38And this is only our first time.

86:40I'm always skeptical about this kind of

86:42stuff though because--

86:43Wait, sorry, did you hear the announcement?

86:45--created for business people.

86:47Just wait a sec.

86:48This is automated data storytelling.

86:52And this is the future.

86:55[APPLAUSE]

86:56Back to you, Francois.

86:57I think she said it's now in Tableau Cloud

87:00and will be for Tableau on-prem, so Tableau

87:02Server a little bit

87:03later.

87:04Amazing job, Katie.

87:05What did you guys think?

87:06Pretty cool?

87:07Yeah.

87:08It does feel like a magic trick when you

87:10see that story come

87:11alive.

87:12It is so cool.

87:13And it's another great example of how Table

87:15au is making it

87:17easier for everyone to just rock with their

87:20data.

87:21You know, that's what Tableau has always

87:23done.

87:24For years, we put a guitar in every data

87:27rock star's hands.

87:29And we've made it easy for everyone to just

87:33play.

87:34But you can only do so much with a guitar.

87:38If you want to add dimension, if you want

87:40to have bigger sound,

87:42you need more instruments.

87:45You need a bass.

87:47You need drums.

87:48You need a keyboard and effect pedals and a

87:51wall of amplifier.

87:52Astro, there he is.

87:54Well, there they are.

87:55Now, when talking about data, adding more

87:58instruments means

87:59adding more sophistication.

88:01You need to understand concepts around

88:03statistics.

88:04They are now talking about features.

88:06Oh, hi, friends.

88:07Hi.

88:08Machine learning.

88:09Now, talking about features now.

88:11And Python.

88:12You need to program a lot of stuff.

88:15Well, that's not for everyone.

88:16It's for the specialists.

88:18It's for the few.

88:19It's time consuming and it's complicated.

88:22Mm-hmm.

88:23Does that sound familiar?

88:25Yeah.

88:26It's exactly what Tableau did 18 years ago

88:28when we were founded.

88:30So, what did we do back then?

88:31We reimagined the whole analytic --

88:34Created Python and R integrations.

88:36Tableau made the complex simple.

88:38We brought data to the people and we made

88:41it easy.

88:42So, that got us thinking.

88:44Can we do the same thing with advanced

88:46analytics?

88:47Could we do to data science what Tableau

88:50did to BI?

88:51Well, so we started talking to customers.

88:53We talked to customers that were going

88:54through the data science process.

88:56And a pattern emerged.

88:58We found that the same thing was followed

89:00over and over again.

89:02The same steps.

89:03First, you connect to your data.

89:05Then you wrangle your data.

89:07You prepare it to make it just ready for

89:09analysis.

89:10Then you build some models and find the

89:11right models for your data.

89:13And then you visualize it.

89:14And then you refine that cycle over and

89:17over again.

89:19Well, that's when it hit us.

89:21We're actually kind of almost there.

89:23With Tableau today, you can connect over

89:26100 different data sources right out of the

89:29box.

89:30We have incredible data prep capabilities

89:32with Tableau prep.

89:33So, you can wrangle your data together,

89:35filter it, pivot it, and get it just right

89:38for analysis.

89:39And we have the best visual analytics tool

89:41in the world so you can see and understand

89:44that data.

89:45There's just one missing piece of the

89:48puzzle.

89:49The ability to build models.

89:52Well, that's changing today.

89:54We're introducing Model Builder for Tableau

89:58.

89:59This feels like -- I think we saw this at

90:02last conference.

90:04With Model Builder, we're bringing

90:05predictive analytics to Tableau.

90:07We did see this at last conference.

90:08Predictive analytics, yeah.

90:09It's fully integrated.

90:10So, you can build models as easily as you

90:12can build a workbook or a prep flow.

90:15And it leverages all of the amazing work

90:17you've already built in Tableau.

90:19Your data connections, your security, your

90:20governance.

90:21This is coming from --

90:22[ Audio cutting out ]

90:30Model Builder is built on top of Salesforce

90:33's Einstein AI platform.

90:35Oh, yeah.

90:37Somebody's excited over there.

90:39Einstein today generates more than 152

90:42billion predictions per day.

90:45Yeah, I thought this was just software.

90:46Think about that.

90:47152 billion predictions.

90:49And it's part of every Salesforce cloud.

90:52So, now we're bringing the power of

90:54Einstein and we're putting it right into

90:56Tableau and right into Model Builder.

90:58So, you get that power, too.

91:00Okay.

91:01And Model Builder is part of our broader

91:03portfolio around business science.

91:05So, along with scenario planning, Einstein

91:08discovery, now domain experts can finally

91:12apply advanced analysis to even more

91:16problems.

91:17And more importantly, you can make better

91:19decisions faster.

91:21Essentially, this is data science for

91:25business users.

91:27So, here to show how it works, give it up

91:30for Bobby Brill.

91:32[ Applause ]

91:43Thank you, Francois.

91:45I'm Bobby, a product manager at Salesforce.

91:48Focus on bringing Einstein into Tableau.

91:51Ah, there you go.

91:52Einstein empowers businesses to make

91:54smarter decisions how to buy data.

91:56He spells it out. I like that.

91:58We heard from Feeding America about their

92:00vision of an America where no one is hungry

92:03.

92:04That may mean connecting certain folks with

92:07services that go beyond just food banks.

92:11By looking at the millions of neighbors the

92:13Feeding America network has served in the

92:15past,

92:16machine learning can be used to determine

92:19those that are most likely to benefit from

92:21a service referral.

92:23Well, thanks to Tableau Model Builder

92:24powered by Einstein discovery,

92:26the Feeding America network analysts can

92:28solve this machine learning problem using

92:31clicks, not code, and without ever leaving

92:35Tableau.

92:36Predictive models are now native.

92:38Clicks, not code, yeah.

92:40I create a predictive model just like I can

92:42create other assets.

92:44Let me just --

92:45Let's see how this works.

92:46Yeah, this is the one to see.

92:47I'll start by connecting to a published

92:49Tableau data source.

92:51Because Tableau prep is built into the flow

92:53, I can further clean and filter my data.

92:57Okay.

92:59Then I'll choose the field I want to

93:01predict.

93:02I'll choose my goal, and I'll choose my

93:05modeling algorithm.

93:07I hope there is a whole bunch of education

93:09around this.

93:10I was just about to say this.

93:12And just like that, Tableau and Einstein

93:14are working together behind the scenes to

93:17build --

93:18Well, it's a clean interface, so there must

93:19be some space for kind of educational

93:22content around the different models.

93:25And when the model completes, I get

93:28guidance on how I should proceed.

93:31I can see how well this model can classify

93:34data.

93:35I can even see how my data is impacting my

93:38predictions.

93:40I can improve my model performance.

93:42I can follow a list of data alerts that

93:44guide me in updating my model so I can

93:46avoid common machine learning problems like

93:49multi-collinearity and data leakage.

93:51If it's coaching you, that might be sort of

93:52like a --

93:53When I'm done examining my model --

93:55A way of doing it as well.

93:56I'm ready to publish it.

93:57Yeah, and in another tool called Ultrix,

94:00you have that kind of assisted element that

94:01will watch you through a wizard.

94:03And click deploy.

94:07So now my model is live in Tableau.

94:11But the real value of this model is when I

94:13connect it to my data so my analysts can

94:16consume the predictions and make smarter

94:19decisions.

94:20Because this is all done in Tableau --

94:22The other thing is that the model's

94:22specific to --

94:23It's all native.

94:24No other integrations are needed.

94:25-- specific data sources, so this is not --

94:27Let me show you how to add this to a work

94:28book.

94:29I'd love to know how it works with

94:29something like a virtual connection.

94:31I just choose my workbook.

94:33Choose the dashboard I want the predictions

94:35to show up.

94:36Choose a worksheet where there's data that

94:38--

94:38So how do we deploy this?

94:39So that's probably the last step on the

94:40left-hand side.

94:41Deploying is kind of important.

94:44Will this run on your Tableau online or --

94:46Sorry, Tableau Cloud cluster or --

94:48Now let's see what that looks like.

94:50This is an online only feature.

94:51Here on the right, I have the Einstein

94:54predictions dashboard extension where I get

94:58real-time predictions on the fly.

95:01This allows my Feeding America network

95:03analyst to better understand the average

95:06likelihood of benefiting --

95:08Definitely running the cluster.

95:09-- from referrals nationwide.

95:11And I can further drill into my data and my

95:16predictions update on the fly.

95:20But I built this predictive model to make

95:23smarter actions.

95:25My business wants to prioritize the

95:26neighbors with the highest likelihood of

95:28benefiting from a service referral.

95:30This is a fair comment.

95:31It is a new user interface for Tableau

95:32business science.

95:33Wouldn't it be awesome if I can connect

95:34this with the amazing power of the business

95:37automation built on Salesforce?

95:39Well, thanks to Tableau actions and Sales

95:42force flow, I can do just that.

95:44With the click of a button, I can pass data

95:47from this viz directly into any Salesforce

95:50flow.

95:51And this allows my businesses to make

95:53smarter decisions.

95:55That's how Feeding America goes from

95:57insight to action.

95:58Someone in the Slack channel says, "This

96:00isn't what Einstein would have imagined or

96:03would have wanted."

96:05Do you know that Salesforce actually pays

96:08quite a lot of money for the brand Einstein

96:11every year?

96:13They have to, right?

96:14Yeah.

96:15Well, thanks to Tableau Scenario Planner.

96:20We're aiming to make this problem a whole

96:22lot easier.

96:24With Scenario Planner, building scenarios

96:27is easy, visual, and interactive.

96:30I can create what-if simulations and I can

96:32compare results.

96:34Let's see how Feeding America's disaster

96:36relief team works with them to move things

96:40to provide food and emergency assistance to

96:41communities by event of a disaster.

96:44Could use this tool to simulate some

96:46scenarios around the potential impact of a

96:48California wildfire.

96:50I wonder, was this demoed at Trailblazer DX

96:52?

96:53That's my question.

96:54Because that to me seems like the audience

96:57that would be excited.

96:59Well, they say not code but clicks.

97:04Yeah, so Trailblazer is very much focused

97:06on developers.

97:08I guess.

97:10I can connect my data with parameters that

97:12let me make quick what-if adjustments on

97:14the line.

97:15Well, to be honest, I see some really nice

97:17UI elements which can also go into Tableau

97:19desktop.

97:20It would be great to have that range filter

97:21that we have on the left-hand side, right?

97:24Yeah.

97:26That will come in weapons space 100%.

97:29Einstein will help with scenario

97:31suggestions.

97:33And thanks to explained data, I can better

97:35understand the reasons why a scenario dev

97:37iates from a baseline.

97:39Oh, that's embedded as well.

97:41Then all I need to do is share this with my

97:43team in Slack and then they can better

97:45understand the trade-offs.

97:48Share in Slack.

97:51Okay, now we only need MuleSoft integration

97:55and the 360 is complete.

97:59Back to you, Francois.

98:03I think they should have put some music in

98:05here.

98:06They should have put some music in.

98:07All right. Thank you, Bobby.

98:08Amazing job.

98:09We've seen a lot today.

98:11Model builder, data stories, new advances

98:13for Tableau Cloud.

98:15There's one little cloud left.

98:18It's great to see how you're going to take

98:20these capabilities and put them to action

98:22for your organizations.

98:24But we're not done.

98:26We've got more for you.

98:28You guys want more?

98:30Yeah.

98:31One more thing.

98:32You want more?

98:34Now we're talking.

98:36All right.

98:37Well, Tableau's in-house band is here.

98:43We call them the Devs on Stage.

98:48Here we go.

98:51Here we go.

98:52And they have come here to rock.

98:55All right. Here we go.

98:56You guys ready to see them?

98:58All right. Let's get them out here.

98:59Maybe we're now getting like a quick-fire

99:01round of new features.

99:03To be honest, we really need it at this

99:06rank.

99:07She's the heartbeat.

99:08It's Samantha Kwab.

99:11Okay. Four seats.

99:13So we're getting plenty of product managers

99:17here.

99:18Nice.

99:22All right.

99:24On base, holding down the low end.

99:27He's in the pocket.

99:29He's bringing the rumble.

99:30He is John Wong Lam.

99:34Woo.

99:35There he is.

99:42He played air guitar like air guitar when

99:43he was younger.

99:44And finally.

99:45Nice.

99:46Shredding on the lead guitar.

99:49He's Dev's own Eddie Van Andrex.

99:53The one, the only Nathan Mannheimer.

99:58Yeah.

100:04All right.

100:05It's time for Devs on Stage.

100:07Because he has a pineapple in his hand.

100:08Nathan, take it away.

100:11Yeah.

100:13The pineapple is here.

100:15Love it.

100:16All right.

100:17Thank you, Francois.

100:18Good morning, everyone.

100:19My name is Nathan.

100:20I'm a product director here at Tableau.

100:22You may recognize me from such features as

100:25Devs on Stage last year.

100:27Well, this year, I'm back to show you some

100:29of the magic that we're building into Table

100:30au's data layer.

100:32Can't make bricks without clay.

100:34And you can't tell incredible visual

100:35analytics stories without a solid data

100:37foundation.

100:38Let's take a look.

100:40So here, I've got a data set of my

100:41organization's operations.

100:44We have some fact tables that cover our

100:45planning and our actual expenditure.

100:48Data model.

100:49I know what we're seeing here.

100:52I've seen a demo of this before.

100:53But in today's data model, when I want to

100:55actually compare our actual outlays to the

100:58budget, I have to choose a single dimension

101:01to relate them on.

101:03You have the table extension on the bottom

101:04left, if you saw that.

101:06It means that if I wanted to get really

101:07deep, I might have to write some complex

101:09analytical SQL or even create multiple

101:11different data sources.

101:13This could be what Power BI has where you

101:15can invent multiple tables.

101:17With our first feature here today, shared

101:19dimensions.

101:20That problem is a thing of the past.

101:23This is good.

101:25Okay.

101:26Shared dimensions is going to allow you to

101:28take multiple fact tables and relate them

101:31together with multiple shared dimensions.

101:34This means that I can explore sophisticated

101:36data sources like SAP or even Salesforce,

101:39drag and drop, easy.

101:40Salesforce would absolutely need this.

101:43I can build a single data model that

101:43answers all kinds of questions and share it

101:44up, scale it across my entire organization.

101:48It means I can go in, take, say, our budget

101:51, break it down by a dimension like date and

101:54another department, and then take our

101:56actual expenditures and compare them just

102:00like any other data in Tableau.

102:03Sometimes, though, the challenge isn't so

102:04much working with a sophisticated data

102:06source.

102:07It's actually even getting to that data at

102:09all.

102:10All across the Internet, there are APIs and

102:11sources that allow us to pull down

102:13information that makes us understand the

102:15way the world's working up to the minute.

102:18Well, we've had the Web Data Connector in

102:19Tableau for a while, but setting one up has

102:22meant, you know, servers and infrastructure

102:25and handing out those URLs to your

102:27consumers.

102:28And that slows you down.

102:29I'm not sure.

102:30I didn't see.

102:31With our next feature today, the Web Data

102:33Connector 3.0, adding new connectors to

102:35Tableau is as easy as it looks.

102:37I've seen that one before.

102:38You've seen this.

102:39You saw it live on stage, right?

102:43It's really cool.

102:47By Salesforce.

102:49Interesting.

102:56We demoed this at Trailblazer.

102:58Nice.

102:59You built that connector, right?

103:03I didn't build it, no.

103:06Someone did, yeah.

103:08I have some tweets here, and I recognize

103:11some familiar names from the community.

103:13B. Gordon, Ken Flurlidge, Cesar Pico, and

103:16we really appreciate that you're talking

103:19about Tableau and maybe even saying this is

103:22the best devs on stage ever.

103:23But I'm curious.

103:24What are you actually saying?

103:25You know, I have the text of these tweets

103:29here.

103:29But I want to get into it.

103:30I want to get a little deeper.

103:32I could maybe write some string counts,

103:33number of tweets per day.

103:34I could even bring in a Python or R calc

103:37and do some sentiment.

103:38But if I want to go deeper, if I want to

103:41really restructure the data and answer

103:43questions like what are the topics that are

103:44being mentioned, how frequently do they

103:46occur, I'd have to step outside Tableau and

103:49maybe go into R or Python and really

103:50manipulate, reshape the data, and then

103:53bring it back in.

103:53And that would slow down my flow of

103:56analysis.

103:57Well, with our last feature here today, one

104:00that I have to say is very close to my

104:02heart, we're bringing the power of R,

104:04Python, and predictive analytics from

104:06Einstein Discovery right to the core of

104:07Tableau's data model.

104:08Interesting.

104:09Want a new table extension?

104:10Yeah.

104:12With table extensions, I can bring out a

104:15new object into my model that works just

104:17like any other.

104:17You can shift data in and out.

104:22So, yeah, there you go from your web data

104:25connector.

104:26But I can put a script right into this

104:28object, make it bigger or even blow it up

104:32full screen, and paste this in.

104:34So this is Python code that's going to pull

104:37the data that Tableau is creating and allow

104:39me to transform it, shape it, store it with

104:43predictions, do anything I want, and the

104:45best part is, it's live.

104:47It's that it was running on localhost, so

104:49he has a separate server.

104:50I know that's its extension, right?

104:53It's probably using TabPy.

104:57If you're on Tableau Online, where's that

105:00running? That was going to be my next

105:02question.

105:02Well, the thing is that web data connectors

105:05will soon be running on Tableau Cloud as

105:08well.

105:08So I think they will be managed.

105:11The thing is that with regular dashboard

105:14extensions, they have figured out how to

105:16sandbox them, so I think we will see

105:18something sandboxed here as well.

105:20This is the power of our Python APIs,

105:22Einstein Discovery, right in Tableau's data

105:24model, and it opens up a world of

105:26possibility.

105:27And we've seen some really cool features

105:29here today that are going to turbocharge

105:31what you can do with data in Tableau.

105:32And honestly, I can't wait to see the kinds

105:34of really innovative, exciting things that

105:36will be available.

105:36This is bringing a bit more of that sort of

105:38data science. Is it really data science?

105:40Not really. This is more sort of data

105:41science.

105:41You can do anything here.

105:44So we saw it really quickly, but Nathan

105:46pasted in some code to do sentiment

105:49analysis. It's kind of the typical thing

105:51you do on tweets.

105:52You could do data transformation here if

105:55you want to, or you could call maybe an API

105:57.

105:57I don't know.

106:00Well, thank you, Nathan. And hello, TC.

106:03Hello.

106:06Hi, my name is Samantha Guac. I'm vice

106:09president of product development.

106:11In my role, I get a ton of data-driven

106:13questions from across the company on many

106:15different topics.

106:16And it can be extremely time-consuming to

106:19clean and prep the data even before

106:22analysis.

106:22So I'm always looking for ways to make that

106:24process more efficient and empower people

106:27to answer questions themselves without

106:29needing to come to me.

106:31Let me show you how our team is making that

106:33even easier with the latest innovations in

106:36Tableau Prep and Ask Data using this

106:39dataset on electric vehicle sales.

106:41Each record is a sales transaction.

106:44Now, how often have you wanted to retain

106:47the order of the records in your data?

106:49Oh, this is a 2022 feature.

106:53Add a new column with the road number.

106:55This is in preview right now.

106:58Now, I simply insert the road number and

107:01create it as a new field in just three

107:04clicks.

107:05Yay, finally.

107:10Like a raw idea, right?

107:11Yeah, it's just a road counter.

107:13When I brought in this data, it didn't have

107:15values for each row. And I want to fill in

107:16the missing values.

107:17We clap for those kinds of things.

107:19Again, in just three clicks, I can insert,

107:23select fill, create it as a new field, and

107:28Tableau Prep has automatically filled in

107:30all of the numbers using the previous value

107:31.

107:31That only works if you have specific data

107:33types, right? But dates, it will know it.

107:35Numbers and dates.

107:36Yeah.

107:37Now, there's just one more thing I need to

107:39do to prep the data.

107:39So it's a multi-row formula for those that

107:41have been using Ultrics.

107:42Yeah, the interface for those look like a

107:44slight tweak on what we've already got.

107:47It's not new necessarily, if that makes

107:49sense.

107:49You could already fill dates with numbers

107:52and rows. Two versions.

107:53Multi-row calculations directly in Tableau

107:56Prep.

107:56Here we go.

107:59Where's Carl when you need him?

108:03Dr. Prepper himself.

108:05Carl, if you're on stream, I expect you to

108:09smash the comments with enthusiasm.

108:11Yeah.

108:13I'm moving sum as selected by default, and

108:15selecting each value shows me a preview.

108:17Oh, running sum. Oh, my God.

108:22Wait, you couldn't do this?

108:24No, you couldn't do a running sum easily.

108:26No, you couldn't.

108:27Oh, wow.

108:28It's ridiculous. That's why I'm like this.

108:30I'm like, "Fuck, God."

108:32Now all the flows I have to go and fix are

108:37coming back to me.

108:39Moving average, running sum.

108:41Oh, but that's actually quite cool. It's

108:43like the table calculations basically.

108:44Yeah. It shouldn't be a game changer, but

108:47it is. It is.

108:48Yeah.

108:49This is going to make Prep much, much more

108:54...

108:54But how does it work? Because Prep is

108:57running on a sample of your data.

108:59Well, the same with Row Fill. It's always

109:02worked on a sample.

109:02I think the way it samples sort of fixes

109:06for that.

109:07Okay.

109:10How have I solved that in the past? I think

109:12I've just pushed all the data through it

109:14because I want to see everything coming

109:15through.

109:15Yeah, of course.

109:16It's a good question. It's a good question.

109:18But wait. I was actually interested in the

109:21average range, and that definitely does not

109:23look like an average number.

109:24Ask data. Okay.

109:25Now, we know not everyone speaks data.

109:28Right.

109:29Sometimes asking the right data question or

109:32even knowing where to begin can be

109:34challenging.

109:36That is why we're introducing Phrase

109:38Builder, which offers a guided workflow...

109:40This is not new. This is 2020.2.1. That's

109:45all I'm going to do in the stream. Call out

109:48the stuff that's already been released.

109:50Now, that's looking a lot more like what I

109:53was expecting.

109:53The thing with Ask Data is that for me it's

109:56natural language, so I should see someone

109:59type this in.

109:59Yeah.

110:00But she's clicking, which you can do with

110:02normal Tableau.

110:03Yeah.

110:05So for me Ask Data should literally be like

110:07that you type stuff in.

110:08You get some answers, and then you continue

110:11your analysis after, or you share that with

110:13someone.

110:13I think...

110:14It should be for quick, ad hoc things.

110:16I think you're right, but the problem is

110:18that people didn't know what to ask, so

110:20this is sort of prompting you to click your

110:22way through building the question, if that

110:24makes sense.

110:25And I think it's an important step, because

110:29for those people who aren't data savvy,

110:33knowing what to ask...

110:35I don't mean the question. I'm talking

110:37about the average, the sum broken down by

110:40category.

110:40That kind of stuff is really hard to think

110:42of.

110:42No.

110:43It provides you with suggestions based on

110:47how other people have asked questions on

110:49the same data.

110:50Right.

110:51Let's try one of the suggestions and break

110:55this down by make.

110:56Cool. It looks like Tesla has consistently

111:00been the leader for having the best average

111:02range.

111:02With the new Ask Data's Phrase Builder and

111:05Phrase Recommendation, you have even more

111:08options and flexibility to explore data.

111:11And the best part?

111:13Phrase Builder is already part of the 22.1

111:16release, and Phrase Recommendation will be

111:19available later this year.

111:20Thank you.

111:22Good stuff.

111:27With that, I'd love to introduce you to our

111:30next Dev on stage, John.

111:32Multi-rival prep is huge. Absolutely huge.

111:41Hey, everyone. My name is John, and I'm a

111:45Dev here at Tableau.

111:46I don't know about you, but for the last

111:48couple of years we've been getting a lot of

111:51new hires.

111:51And in this era of remote work, it's hard

111:54to know what team someone is on or where

111:57someone is located.

111:58So...

112:02Skip.

112:03I think we lost some of the notes.

112:05No, no. It comes back. The stream pauses,

112:09then skips, then catches up.

112:12The new hires, they keep on asking, "How do

112:16I use this dashboard?"

112:18Has anyone ever been asked that question

112:20before?

112:20Yeah.

112:21Or maybe you're the ones asking it.

112:24I've made a Wiki, even a how-to video to

112:27help explain all this, but they're not able

112:30to find it.

112:30And the questions just keep on coming.

112:35If only there was something at this

112:37conference that could help make this better

112:39.

112:39But wait. What's that sound? Is that a

112:43little TC excitement I hear?

112:46Woo! Okay. There it is.

112:50What if everything a user needed to get

112:53familiar with the dashboard was in one

112:56place?

112:56This looks familiar.

112:57A place where they could understand the

112:59context of a dashboard, or what a field

113:01means, or whether the data can be trusted

113:04or not.

113:04I like this feature.

113:05Imagine no more. Introducing the data

113:09orientation pane.

113:10Yeah.

113:13Now I can easily include helpful

113:15information for my users right in the

113:16dashboard.

113:16This is such a good feature.

113:19I can add a description, links to external

113:23resources, like my how-to video.

113:25I think you should be joining us again in a

113:28bit.

113:28We get a list of data sources and which

113:31fields are being used.

113:32Absolutely.

113:33And we can also see any interesting outlier

113:37marks, which is being powered by Tableau's

113:40ask data.

113:41Sorry. My feet keep on dropping.

113:43No worries. It's fine.

113:45If I select a viz, we get this applied

113:48filter section that tells me at a glance

113:50how the filters I selected are affecting

113:53the viz that we're selecting.

113:53This is very good.

113:56Woo!

113:57Yeah. More people should be excited about

113:58this.

113:58Guys, ask for it.

113:59Further down, we have this data summary

114:02area that shows me things like how many

114:04records there are or how the data is being

114:08pre-filtered on the viz.

114:10So no more guessing.

114:12We can see which marks are being applied at

114:16every level in one place.

114:18And, Jerry on top, if I select a mark, like

114:23Francois, we get all this insight tailored

114:27at the mark level too.

114:29Yes.

114:31Come on, people.

114:32There you have it. That's the power of the

114:35data orientation.

114:35I think they're not that... I don't think

114:37there's that many people in the audience.

114:39It's literally like maybe four or five

114:41hundred or something.

114:42Yeah.

114:44Woo!

114:45All right. Well, that's a wrap. And we'll

114:50see you guys at the next TC.

114:52Oh, what's that?

114:54You guys want more?

114:56One more thing.

114:58Woo!

115:00He's carrying the character well.

115:03But it's missing something.

115:05Pictures! I want to see people's faces.

115:10Has your work colleague ever used a profile

115:13picture that's not of them? Or even worse,

115:16the default Slack profile picture?

115:19We're in the era of remote work. Text and

115:22bar charts only take us so far.

115:26But adding images in Tableau is harder than

115:29it should be.

115:30We've heard from so many of you on the

115:33Tableau idea forums, and it's a pain to do

115:36this for things like product catalogs or

115:38employee listings, using things like custom

115:41shapes for action URL hacks to bring your

115:43images in one by one.

115:44Love it.

115:45And if you want to keep your images updated

115:48, good luck. You've got to do that work all

115:52over again.

115:52Oh, with shapes, right?

115:54Look over here. I have this profile image

115:58field that contains links to everyone's

116:01lovely mugs.

116:02With one click, I can drag this onto my viz

116:07and boom!

116:08Image links! Oh, my word!

116:11Image roll feature!

116:15Woo! Give it up for the devs!

116:17In FMCG, that is huge.

116:20Now you can just bring in your field of

116:25image links and bam! Dynamically rendered

116:29images in Tableau! It's finally here!

116:32That is really good. That is really good.

116:35There you have it folks. The data

116:38orientation pane and image rolls are two

116:40new features that Tableau is bringing you

116:42to help people better see and understand

116:45their data.

116:45That is...

116:46Thank you very much.

116:47When? When?

116:49Back to you, great work!

116:51Yeah, when? That's a good point. When?

116:57Alright, I hope you liked that keynote.

117:01This is it. Now have an amazing Tableau

117:04conference.

117:04That was really good. That was a good final

117:07night. That was a good final night.

117:08Yeah, it's good that the Datsun stage is at

117:10the end.

117:10Check out Hannah Fry's keynote. Join us for

117:13Data Night Out tomorrow night.

117:14Lace up your shoes. Show up at the crack of

117:17dawn tomorrow. I'm actually running.

117:19Almost the first. And most of all, let's

117:24turn data to 11 and let's rock out together

117:28. Have a great Tableau conference.

117:30Yeah, exactly.

117:31Thank you everybody.

117:32I'll turn this down.

117:40Well, what did everyone think? I think

117:43everyone was... some people were quite

117:44excited about these later speeches, I think

117:46.

117:46Yeah, yeah. So that final one is huge for

117:49fast moving consumer goods.

117:51Anyone who works in retail, anyone who

117:54works in gaming, anyone who works in any

117:56sort of digital asset where it helps to see

117:59the product alongside the data.

118:01That is a stellar, stellar thing. That and

118:06multi-row from prep as well. Two really,

118:09really, really good features.

118:11So let's... Oh, there's a little bit of a

118:13...

118:13Oh, what's this?

118:15Hold on. There's a little bit of after...

118:18after... this is new.

118:19Hmm.

118:20Let's see.

118:21You can see people at the back. They walk

118:23out of the keynote.

118:23Data village. Maybe you'll say data at the

118:25end of this. We just finished the keynote.

118:26Data village.

118:27I was watching it just over here. It is

118:30freaking awesome. All the really cool

118:31announcements that were just made.

118:33So if you missed it, key highlights for you

118:36to remember. We've got Tableau Cloud, we've

118:39got Data Stories, and we've got Model

118:42Builder, which is really, really cool.

118:43I don't know about you, but I'm really

118:45excited about all these really amazing

118:47announcements.

118:47And don't worry if you missed out. You can

118:50always catch up on it later.

118:52Some of the highlights for me from that as

118:55well. There was a performance, which was

118:58amazing.

118:59I definitely really want to rewatch that

119:02again.

119:02Okay. Right.

119:03We've also seen Francois rocking it out in

119:07a data punk rock situation where he had a

119:10whole guitar on everything. It was pretty

119:13hilarious.

119:13It's pretty good.

119:14And at the end of that, it was Devs On

119:16Stage, which is, as you heard from Ravi

119:18before, a community fan favorite.

119:20Absolutely.

119:21So I really, really enjoyed all of that,

119:23and I hope all of you did as well.

119:24But you're probably wondering, what's with

119:27this data village? If you've never been to

119:29Tableau conference before, I'm going to

119:31tell you all about it.

119:32So, data village, we can see around me.

119:34That's pretty cool.

119:35We're a bit early, but it's going to start

119:38filling up.

119:38Let's turn down the volume.

119:39Yeah, let's turn down the volume for this.

119:41So the first one, the top one at the moment

119:44, says, "Want to tell my company to drop

119:46Power BI?"

119:46Yes, you can. But also, they have different

119:51purposes. So I would definitely try to

119:53incorporate both products.

119:54Yeah, exactly.

119:56Yeah, Sophie says she's great. We agree.

120:00Yeah, absolutely.

120:01So, gosh. Overall, I think that was really,

120:05really good.

120:06The higher level message for me is the

120:08Salesforce stuff did not land.

120:10It felt like Mark's section of the keynote

120:15was a little bit of Tableau, but done in a

120:19Salesforce style.

120:20And I don't think it landed as well as

120:23Francois' section, which brought the

120:25customer in, but really painted a story.

120:27The piece about Data Rockstars, I think

120:29that's something we can all relate to. A

120:31lot of us, at least in the community, if

120:33you, however you describe the community,

120:35have picked up Tableau through moments like

120:38what Francois was describing. So it's super

120:40, super useful.

120:41And then ending on Devs on the Stage, I

120:43think, was really, really important because

120:45I think some of those features are things

120:47we've sort of complained about for a while.

120:48Low-hanging fruit, as it were.

120:50Multi-row calculations is one of those

120:52things that sort of separates prep and alt-

120:54tricks a little bit.

120:55So for people who use those tools, that

120:58sort of brings them closer.

120:59I don't think it makes them the same. It

121:01just brings them a little bit closer.

121:02There's more you can now do in prep once

121:05that lands. We don't know when.

121:06So, yeah. I'll always caveat by saying that

121:11everything shown at Keynote doesn't always

121:14end up in the product.

121:15Just because we saw it today doesn't mean

121:17it will end up in the product.

121:18Well, it ends maybe in a different version,

121:21right?

121:21So some of the stuff that they showed now

121:25is kind of tweaked and then you see it

121:27later on.

121:28Exactly.

121:29But no, I think this is some good features

121:31like Tableau Prep. Personally, I've not

121:34really used the product that much, but that

121:36's because I use other tools to prepare my

121:38data.

121:38You're big on DBT, right?

121:40And alt-tricks, of course.

121:42Yeah.

121:43So maybe you should pick it up. The good

121:46thing though is that it nicely natively

121:49runs in the browser now in Tableau Server.

121:51So actually getting to prepping your data

121:54is a lot quicker than having to open up a

121:57desktop application.

121:58Yeah.

121:59Yeah. The Salesforce pitch call is saying

122:02the same Salesforce pitch seems to be

122:04selling to Tableau customers rather than

122:06selling Tableau to Salesforce customers.

122:08Right. Yeah. Yeah, yeah, yeah.

122:10True.

122:11That's about right.

122:12Yeah.

122:13And they should have taken that to Sales

122:17force conference.

122:18Yeah, exactly. Yeah, this integration

122:22between the two products is something they

122:25still need to figure out.

122:27We are talking to mainly Tableau people

122:30here, right?

122:30Yeah.

122:31So that's why people are like, "Hey, what's

122:34going on?"

122:35But yeah.

122:39But the other interesting thing was I think

122:44the customer, the choice of customer

122:47messaging, I think the one that landed was

122:49the Foodbank.

122:49The first two just, JetBlue was a good

122:53Tableau cloud story.

122:55I was not sold at all by the standard chart

122:59ered sort of example.

123:00They didn't really say how. It was just, "

123:03We do it. Here it is."

123:04Yeah.

123:05No statistics, no sort of evidence, no data

123:07behind it, right?

123:07And we're a data audience. We want to see

123:10the data behind that.

123:10So yeah.

123:12To me, the structure of this keynote was a

123:15bit, so Andy Kotbrief came on stage, but he

123:18didn't do anything, right?

123:18Right. Yeah.

123:19He was just like running around.

123:20He didn't compare anything else. Yeah.

123:21So he didn't do anything.

123:22And then we had Mark Nelson trying to chat

123:25to some customers, which is great.

123:27Customer chats are very important.

123:30But they've also at the back of those

123:33customer sessions, stories,

123:36they added new features.

123:38So it didn't feel like one complete keynote

123:42.

123:42It was more like, "Hey, we have some new

123:45features which we'll put at the end."

123:47So yeah.

123:48Then to me, it was a bit unstructured

123:51because maybe they wanted those three

123:54features that they mentioned about the

123:56model builder, for example, to be big.

123:58But it didn't land in the same way as, for

124:01example, DAS on stage.

124:01If you show something simple as, not simple

124:04, but as like, "Hey, add a row number to

124:05Tableau Prep."

124:06And everyone's like, "Yeah, we need this.

124:08This is going to improve my life tomorrow."

124:10"This is going to improve my work tomorrow

124:13."

124:13Whilst what we see with that model builder

124:16is like, "Hey, we really need to figure out

124:17how that works."

124:17"Is there licensing?"

124:19All of those things.

124:21Yeah.

124:22There's a huge, I think it's a huge

124:25challenge for Tableau going forward where I

124:27think it's traditional customers, the

124:30author.

124:30That's the person who builds dashboards.

124:33They're pivoting a lot of their features

124:36away from that audience.

124:37They're trying to build a lot of AI,

124:39machine learning, storytelling capabilities

124:42to enable the non-author.

124:43And everyone in the audience is not that

124:46audience, right?

124:47The non-authors don't tune into conference.

124:49So I always worry when they sort of lead

124:51with those in conference because of course,

124:53like, you know, I'm an author.

124:55Why would I get excited?

124:56I know how to do all this.

124:57I can answer my own questions.

124:58That's sort of what comes to mind.

125:00And then the other customer is like the

125:02Salesforce customer who's supposed to get

125:06the value of Tableau, but maybe doesn't get

125:07it yet.

125:07And then vice versa, the Tableau user who

125:10maybe has access to Salesforce, who doesn't

125:12get the value of Salesforce.

125:13And then there's the other customer, which

125:15is the person who has both, but doesn't

125:17think they work well together.

125:18Yeah.

125:20If you saw your poll, like your pie chart

125:23thing, one of the things that had the

125:25lowest amount of votes is around, was it

125:28like,

125:28I want to see features for dashboard

125:31consumers.

125:31Yeah, exactly.

125:32Exactly.

125:33And yeah, that's definitely a thing.

125:35Like this is a product conference.

125:38Like people who use Tableau as such, they

125:42don't really go to those places.

125:44So yeah, as you can see.

125:47Oh, wait, people.

125:48Yeah.

125:49So features that make my life easier as a

125:52consumer only had two votes.

125:54So yeah, it might also be like where you

125:56drop this particular service.

125:58Yeah, exactly.

125:59Within the communities.

126:01So of course, all the other features came

126:05up.

126:05Carl's asking a good question here.

126:07Desktop seemed very absent in this keynote.

126:09Was this a surprise?

126:12I don't think so.

126:15I don't think so for two reasons.

126:18I think a lot of all the demos were in the

126:21browser.

126:21That was sort of something that I noticed.

126:25They didn't open a desktop product

126:28whatsoever.

126:28I think that's a very deliberate play by

126:31Tableau to sort of get you thinking about

126:34the cloud

126:34and everything working in the browser and

126:37the cloud because that's where they're

126:40heading.

126:40We didn't see any authoring features in

126:43desktop other than the data modeling

126:45features.

126:45The data modeling feature was the only

126:47thing and that was a pretty important

126:49feature.

126:49But I think with desktop, it's quite a

126:52mature product.

126:53Is it feature complete?

126:56I think you were talking about this, Andre.

126:58Is desktop close to being feature complete

127:01from Tableau's perspective?

127:03That's the key question I'm asking.

127:06Not do we think it's feature complete.

127:08From Tableau's perspective, is it close to

127:10being feature complete?

127:12And that's why we don't see much about it.

127:14I don't know. I don't know the answer to

127:16that.

127:16Again, with the Salesforce acquisition,

127:20Salesforce was born in the cloud, right?

127:23Whilst we as Tableau users have been using

127:25Tableau desktop a lot and then when we're

127:28kind of ready with our dashboards, we

127:30publish it.

127:30So we're very used to publishing a finished

127:34state onto our users, even though there's

127:36some iteration, of course, happening.

127:38But now they're moving more and more to,

127:41for example, Tableau prep.

127:42I would not use the desktop product because

127:45I know, hey, if it runs on Tableau Online,

127:46Tableau Server,

127:47there's a lot more kind of power behind it

127:50so I can use a better product in the

127:52browser.

127:52And I think that's why we should think

127:54about this.

127:54They're not desktop features. They're

127:57offering features.

127:59A desktop plus web edit is called offering.

128:02So we should see those as new features.

128:05I think the other thing I'm going to make a

128:08video about this at some point, but we

128:10should stop calling Tableau the company

128:12Tableau.

128:13And just think of Tableau as a product

128:16because I think when we say Tableau are

128:19going to do this, Tableau are going to do

128:21that,

128:21we're actually letting Salesforce get away

128:25with it.

128:25We need to start really appealing to Sales

128:27force.

128:27We need to start talking like Salesforce

128:30customers and saying we're not happy with

128:32Salesforce's direction with Tableau.

128:33That's what we need to start saying for it

128:35to start to matter to Salesforce generally

128:38speaking.

128:38And I think because we're so used to

128:40talking directly with Tableau product

128:42managers and developers and so on,

128:44it's just a habit that's going to take a

128:46while to get used to.

128:47But I think it's going to be a really

128:49important distinction going forward to make

128:52sure that we continue to push those

128:54features that we want to see.

128:55Well, the things like when I went to Trail

128:58blazer, the conference a few weeks ago,

129:00and there were people from MuleSoft, from

129:02Slack and from Salesforce,

129:03they were all kind of talking about the

129:06integration from tools that Salesforce

129:08acquired, say five years ago,

129:10like Commerce Cloud hasn't made it into

129:14like a real product integration.

129:17But we shouldn't see that as necessarily

129:19bad.

129:19We should start thinking about Salesforce

129:23not as an integrated platform,

129:24even though they want to talk about the 360

129:26,

129:26we should think Salesforce as a company who

129:31has kind of loosely connected tools

129:34and highly specialist users can connect

129:38them.

129:38But very often, you don't need to

129:40communicate because not all MuleSoft

129:43customers are Tableau customers,

129:44not all Slack customers are Salesforce

129:47customers.

129:47So as long as we recognize that that is not

129:50a problem and we see it as more like an

129:52opportunity,

129:52then I think that's something you need to

129:55think about.

129:56I've dropped a link to the blog post from

130:00Francois,

130:00in which he kind of summarizes all the new

130:02features in the chat.

130:03So I'm not sure if you can drop this in the

130:05chat somewhere.

130:05Yeah, yeah, yeah, I can do that too.

130:07Let me do that.

130:08So everyone that's still tuning in can see

130:11the blog post from Francois

130:12in which they kind of summarize everything

130:15that's been announced today.

130:17If I drop it in the chat, it's just going

130:19to appear as a really long link.

130:21Yeah, there we go. Cool.

130:25It's posted to YouTube, Twitch and Facebook

130:27.

130:27LinkedIn can't accept links.

130:30That's a pun.

130:32But yeah.

130:35That's a really interesting, really

130:39interesting,

130:39really interesting to see how this goes.

130:41I think just looking at Carl's post here, "

130:43feature complete.

130:45Is it too complex?

130:46It takes so much training for people to be

130:49able to author good analytical content.

130:50Features/functionality needs to become

130:53easier and that would almost be new."

130:55Yeah, I think you're right.

130:57I think it's a different product entirely,

130:59right?

130:59Potentially where they're going with our

131:01stator, right?

131:02A different way of building dashboards that

131:04's a little bit more accessible to people.

131:06Maybe that's not desktop whatsoever.

131:10Another question here from a comment.

131:13"Do you know any Tableau developers who are

131:16clamoring for the modeling features

131:17or is this something being pushed by Sales

131:21force?"

131:21I think what we saw today was the third re

131:27branding of Einstein Analytics, right?

131:29And the first two times it didn't work for

131:33obvious reasons.

131:34We had to go to Salesforce for the first

131:36one.

131:36The second one, it was a very Salesforce

131:39centric feature.

131:40It just didn't land.

131:41This time around they gave us a Tableau

131:44feeling skin for the same functionality.

131:46I think when that feature comes out, I want

131:49to double check that I don't need a Sales

131:52force

131:53account to use those features because if

131:55that is the case, then okay,

131:57maybe I think that's a much better

131:59integration.

132:00But I think the modeling aspects, people do

132:05ask for modeling capabilities in Tableau.

132:08It's not a common ask.

132:09It's quite a niche ask.

132:10It's probably as niche as something like

132:13better mapping capabilities.

132:15If you're still asking for that now, you're

132:17trying to get closer to something

132:18that's more specific for mapping as a

132:20simple example.

132:21Data modeling, I think, is that kind of

132:23thing.

132:23It's not a mainstream feature, but it is an

132:26important corner of the product.

132:27So it is needed.

132:29The people who are asking for it probably

132:31know exactly what they want,

132:32and they probably don't think anything we

132:34've seen today is good enough or advanced

132:36enough.

132:36So you're never going to win in that

132:40respect as well.

132:42Anyone else surprised that Tableau Acceler

132:44ators was given such a place

132:46of prominence at the beginning of the

132:48keynote?

132:48I'm not surprised, no.

132:52The Tableau economy feels like one of those

132:58plays from Tableau

132:59that they really need to work for some

133:02reason.

133:02I can't place why, but...

133:05Well, the thing with Salesforce is that

133:09Salesforce has this epic change.

133:11So when Salesforce acquired Tableau, Mark

133:17Benioff was like,

133:18"Hey, what is your marketplace where I can

133:23use this, put the contents,

133:24and, for example, share it with more users

133:27?"

133:27And that wasn't really there. It didn't

133:30exist.

133:31We had the Tableau Extensions Gallery,

133:33which was very much for extensions,

133:35and you had like 15 little products in that

133:38.

133:38So it's now pushing more and more. They're

133:41called accelerators,

133:42which I'm not sure if that's the right word

133:45because, as we all know...

133:46It's called templates.

133:47Yeah, just call them templates.

133:49Just keep it simple.

133:50I'm not sure if they will accelerate your

133:54work.

133:54Yeah, so...

133:57Yeah, it's a bit of a weird one.

134:00Okay, someone's going to sleep.

134:03Well, good night.

134:08Take care. Thank you for joining, by the

134:10way.

134:10Thank you for staying late.

134:11Yeah, thank you for joining.

134:12You know, staying involved.

134:14We're probably going to give it another 10

134:16minutes,

134:16and then we ourselves will wrap up as well.

134:18And we'll be back tomorrow with a

134:21livestream for IronViz,

134:22which is a little bit later than today's

134:25livestream,

134:25but it will still be fun.

134:27Talking about IronViz, right,

134:29do any of the new features that we saw

134:31today ever make it into IronViz?

134:33So I'd even go back and say,

134:35"Did any of the features from the last year

134:38make it into IronViz?"

134:39Because that, to me, is like the real

134:42showcase

134:42of whether the desktop capabilities are

134:46sort of coming forward.

134:47So what will be interesting to see from

134:53tomorrow's IronViz is exactly that.

134:54Did anything in the last year's worth of

134:57releases

134:57help make that sort of jump go faster?

135:00Next year, I want to see that link image

135:03feature

135:03help do something incredible, right?

135:06Because if you have time to make assets

135:08ahead of time,

135:08like icons and stuff,

135:09and you can drop them in an S3 bucket,

135:12create the links for them in advance,

135:14put that into your data model,

135:15and just build a data model that has all

135:18those links beautifully built in,

135:19and then just load them like that.

135:21Game changer, another game changer, right?

135:23That will be when people realize that

135:27feature is really, really cool.

135:29So yeah.

135:30Really interesting.

135:34I have mixed feelings.

135:35What would you give this keynote out of 10,

135:38Andrei?

135:38Put you on the spot.

135:39I have a score.

135:40The score out of 10.

135:42Score out of 10.

135:43We do out of 10, not out of 5.

135:46Well, I'm already really excited that this

135:50is an in-person keynote

135:50that we can attend, so it'll definitely...

135:54I think a 7 or an 8.

135:567 or 8.

135:57I was going to give it a 6.5,

136:00because I think if you'd cut the keynote in

136:05two,

136:05and then you'd done the devs on stage thing

136:07and the keynote separate,

136:09the keynote would have been even lower

136:12because I think it didn't hit the note with

136:15the community.

136:16It didn't hit the kind of energy that we're

136:20used to,

136:20if that makes sense, right?

136:21And I don't think it was anything to do

136:24with the way it was presented.

136:26It was just purely the messages just went

136:28landing, in my opinion.

136:30Well, we don't know, so we didn't see how

136:34many people were in the crowd, right?

136:35We've been to Tableau conferences,

136:37where I remember a Vegas one where we were

136:40sitting in an arena

136:41where there's thousands of people.

136:44Things like that land a lot better.

136:46Now what we saw at the front was the fancy

136:49seats

136:49that were probably for some visionaries or

136:51some ambassadors, I think.

136:52But maybe there were like 400 or 500 people

136:55behind them.

136:55So we don't know, right?

136:57But you can't measure it based on how many

137:00people were there,

137:01because how many people attend the

137:03conference neither...

137:04It doesn't really factor into this.

137:06Did the keynote...

137:08I assume there's no one in the room

137:12and you're just talking to people in

137:14general.

137:14Did the keynote hit the kind of levels that

137:18we're used to

137:19at Tableau conference in terms of trust and

137:21confidence?

137:21I'm not sure.

137:23Yeah, the thing is I'm monitoring the Slack

137:26channel as well,

137:26which is very difficult because it's very

137:29spammy.

137:29But there is kind of an overall kind of

137:32positive feeling there.

137:34But again, the same as what we were kind of

137:37saying