Tableau Keynote (2021) Reaction Livestream - Tableau Conference 2021

0:00We're live, I think.

0:01Happy days. Hello. How are you doing, Tim?

0:04Good. I am pumped for today's keynote. It's

0:06going to be good.

0:07I'm quite excited to see what Tableau has

0:09planned for the next year.

0:11Amazing. It's one of those... Does it feel

0:14like Christmas?

0:14I don't think it feels quite like Christmas

0:17.

0:17I think what I'm really excited for is...

0:20There's a lot that Tableau's working on

0:22this year,

0:23and there's a lot of new parts of Tableau

0:25as well.

0:26This is the first conference where we get

0:27to see it all come together, right?

0:29Because last year, Salesforce was new,

0:32because the deal only went through, like,

0:34middle of the year, maybe?

0:35- Exactly. - Officially.

0:38This is quite a new partnership.

0:40I've disappeared. There you go. I'm back

0:42now.

0:42You're back. You're back. I think it...

0:44- There we go. - There you go.

0:48Hey, Mark's online as well. Hey, Mark, how

0:49are you doing?

0:50Good work.

0:52Yeah, last year was the early beginnings.

0:55We had Benny off the year before.

0:59- Right, yeah. - On stage with Adam.

1:01And then we had last year, which was a bit

1:06of Einstein, I think.

1:07- Yeah. - A bit of trailing for CRM.

1:11But, yeah, you've seen different features

1:15trickle through the year.

1:17Exactly. We are getting people coming

1:19through thick and fast.

1:21The little stream thing has caught up with

1:24people saying hello now,

1:25so we're going to start seeing them.

1:29Hello, Mark. Hello, Mohamed. How's everyone

1:31going?

1:32Hey, folks. Hey, folks.

1:34Do you want to put in the chat where you're

1:35tuning in from?

1:36- It's great because... - Exactly. Yeah,

1:37let us know.

1:38My favourite thing about TC being virtual

1:40is it's so much more accessible for more

1:42people.

1:42We can do this from our rooms, right?

1:44We can do it from the comfort of our homes.

1:46But more people who otherwise might not

1:48have been able to attend

1:52get the exact same experience that everyone

1:53else in the world is getting,

1:54- which is really positive. - Exactly.

1:57But it's good. I like the Slack channel as

1:59well.

1:59I thought that might have been quite

2:02difficult to use,

2:04but I like that they have different

2:05channels for different things.

2:07And a channel for each channel, as it were,

2:09for the different live streams. That's

2:10really good.

2:10So be sure to check that out as well if you

2:12haven't.

2:13Francois is in the house.

2:15Francois in the building. Hey.

2:17- Good stuff. - How are you doing?

2:18I think the Slack channel would be good

2:22just to keep up with our conversations,

2:24have that place centralised.

2:26And, yeah, it's going to be exciting to see

2:30these...

2:31See how the next few days pan out?

2:34I think there's some really cool things

2:36coming in.

2:36Exactly. Exactly.

2:38To see how it all comes. We don't mind that

2:39there's a chat going over us.

2:41I think this is the only sort of workable

2:43size

2:43where you can see them without squinting on

2:46the stream,

2:46so I'll keep it like this.

2:47Hello, folks.

2:50- We have a chat joining in fast. - Hello.

2:53South Africa, New York City with Francois.

2:56Where else are those people tuning in from?

2:58Just let us know. This is great.

3:00So what's our T-minus? How far are we from

3:04...

3:05T-minus is 10 minutes according to the

3:07YouTube live stream.

3:08I have to sort of keep an eye on the actual

3:11conference site as well

3:12because sometimes YouTube streams can take

3:15a while to get started,

3:16so I can't leave people hanging.

3:18So we might switch over to that if that

3:20happens.

3:22This is it. It's a pro set up on Tim's end.

3:24I'm just here to chat.

3:26[laughter]

3:27Don't say that. I've got a big, big shoes

3:30to fill, so yeah.

3:31[laughter]

3:33Hey, Anna's joined as well. Hey, Anna, how

3:35are you doing?

3:36Good. Good work.

3:37It's going to be fun. It's going to be

3:40lovely.

3:41We're doing this every day, so pretty much

3:43this time tomorrow we'll be doing...

3:45I think tomorrow it's the product...

3:49- No, sorry, it's Iron Viz tomorrow. - Iron

3:51Viz tomorrow?

3:52Thursday it's Devs On Stage or Devs at Desk

3:55, whichever way you put it.

3:56Iron Viz is one we've added in... We didn't

3:59do last year.

4:00I think I was busy doing a couple of brain

4:02dates,

4:03which everyone should check out. I'm not

4:05doing any this year

4:06because this is slap bang in the middle of

4:08some annual leave I've got.

4:10But definitely check out brain dates.

4:12It's a good way to connect to people who

4:15normally wouldn't,

4:16especially given it's virtual.

4:19But we did do Iron Viz last year. I think

4:22we were concerned that it was...

4:24It's got its own commentary, but then I

4:26think when we both were watching,

4:27it's like, "Oh, man, we should have done it

4:29. We should have done it."

4:30Yeah, exactly. It's one of those things

4:33where...

4:35you need these things to be frequent to

4:38actually know what it's like.

4:39[laughter]

4:41I'm impressed with the people tuning in

4:43from India.

4:44It must be, what, 10, 10, 10, 30 there?

4:46Yeah, although it's just perfect streaming

4:48time, right?

4:49Because hopefully at home it's a bit more

4:51relaxed.

4:51For people in the UK, it's still a working

4:53day, right?

4:54And we're sort of doing this in the

4:56American time zone.

4:57Yeah.

4:58Yeah, I think it's just the APAC time zone

5:03that we don't hit.

5:04Yeah, exactly.

5:05They have it at 3am in the morning. We

5:07could stay up.

5:08We could do a stream.

5:10You might be up. You might be up with a

5:12team out.

5:13Good stuff. Let me send a few messages out.

5:18I've just bombed the channel one on the

5:23official Tableau Slack.

5:25Excellent.

5:26Let's do the compulsory Twitter post.

5:28[laughter]

5:30I'll do a picture of the setup as well.

5:32Let's get some predictions in chat going.

5:34We're 13 minutes away from keynote time

5:37starting.

5:39What are people hoping to see in getting

5:41out of the keynote

5:42and hearing from a new CEO this time?

5:45We've got Mark Nelson.

5:48Put it in the chat what you're hoping to

5:50see from Tableau themselves.

5:53Any features you were hoping for that we

5:56might end up seeing.

5:57Because I think we've talked about the

6:01lesser spotted dates and podcasts before.

6:05Tableau is sort of going towards this

6:08direction of web first.

6:11So I think we might see a bit of that.

6:13I'm excited to hear more about the customer

6:19stories as well.

6:20Now I'm customer side.

6:22I'm also looking forward to surprises.

6:24Things we didn't expect to see from Tableau

6:27.

6:27New things.

6:28Things that come out of opportunities from

6:31the bigger party with Salesforce.

6:33That should be good.

6:34The synergy.

6:35[laughter]

6:37Oh, God. We do have sound effects for this

6:39stream today.

6:40So just to go through them while we're here

6:42so you know what's on the table.

6:44We've got the DJ air horn.

6:46[air horn]

6:48[laughter]

6:49And then we've got the sound of applause.

6:52That's more of a muted sort of happy one.

6:56The bicycle horn.

6:57[music]

6:58I'm not going to use that.

6:59I feel like that's like a comedic thing

7:00being like you tried a joke,

7:02it didn't rework, but here's an obligatory

7:05horn for you.

7:07Every time Ravi mentions the profile there.

7:09[ding]

7:10[laughter]

7:12Wow.

7:15Yeah, exactly.

7:16And we've got a few more.

7:17We'll keep them hidden.

7:18I'm on the control of the soundboard.

7:20We'll try and gauge the moments as best we

7:23can.

7:23The poi poi poi is a throwback to, oh, man,

7:26what was it, 2016?

7:27Yes, I think it was Fahar.

7:29Fahar, who got on stage and was demoing...

7:33Mobile.

7:35I think there's something around mobile and

7:36layout.

7:37I think something like that.

7:38And it was the rulers.

7:40It was the rulers.

7:41It was the rulers.

7:42It was the grids. Positive.

7:43It was the grids.

7:44It blew everyone's minds and we never got

7:45the snapping capability there.

7:47So...

7:48I don't think so.

7:49My guess is it wasn't that.

7:50It was actually biometric mobile.

7:56But I could be wrong.

7:58We'll have to go back into the YouTube

8:00archive.

8:01Right.

8:02We're locked and loaded for Data21.

8:05Join our live stream.

8:08It's the thing I don't know quite how to do

8:09.

8:10I don't know how streamers do it.

8:11They're simultaneously sending messages out

8:13there and doing stuff at the same time.

8:17Surely they have a company doing it for

8:19them, right?

8:20I hope so.

8:21[laughter]

8:24So it's good.

8:25Okay, right.

8:26The thing I'm going to share is this copy.

8:31Great to see a few more folks from India,

8:35from Bangalore, Hyderabad or all tuning in

8:37Mumbai as well.

8:38Yeah.

8:39Mr Steve works is in the house from Briar

8:41cliffe Manor.

8:43Good luck.

8:45Who's the king of survey data?

8:48A big shout out to...

8:50All for that.

8:51Yeah, right.

8:52Just a kick full stop.

8:55No arguments from me.

8:57No arguments from me.

8:58Has a great new book out, which I still

9:01haven't bought.

9:02Ravi.

9:04Do I have a YouTube channel?

9:05I don't.

9:06It's this one, Ravi.

9:07This is your YouTube channel.

9:09This is your...

9:09Right.

9:10I'm piggybacking off Tim, as I have done

9:13over the years.

9:15I don't think I have the patience to do

9:17YouTube as well.

9:18I have a blog that sort of pops up every

9:21few months when I dump a few thoughts.

9:23I think the most recent one I did was

9:26possibly on the profile layer.

9:27Right.

9:28[laughter]

9:29Press the ding.

9:30Oh, hold on.

9:31Hold on.

9:32Hold on.

9:32It caught me asleep there.

9:34Yeah.

9:35There we go.

9:36[laughter]

9:38I literally need this on the stream deck.

9:40Okay.

9:41I'll be better than the same.

9:43So, or it was one about...

9:45I think it might have been...

9:48Oh, man.

9:50Oh, God.

9:53Oh, wow.

9:53We lost Ravi.

9:54Uh-oh.

9:55[laughter]

9:58Standard.

9:59Okay.

9:59So we'll wait for him to join us again.

10:01He's got the same call back.

10:02So Ravi was talking about moments from TC.

10:08I think my favourite moment from TC has to

10:11have been in Vegas when we were at the...

10:16I can't remember the name of the venue.

10:18It's like the big bowl where there was a

10:20boxing match.

10:21This is probably Ravi messaging me now.

10:23I'm trying to get back on the stream.

10:25Here we go.

10:25Yeah.

10:26He has lost...

10:27I bet you his laptop ran out of battery.

10:29Hold on one sec.

10:30That's probably what it was.

10:33Yeah.

10:34Out of juice.

10:35Can you believe it?

10:35Can you believe it?

10:37We're doing a live stream and Ravi has not

10:39plugged his laptop in.

10:42Anyway, one of the best moments of

10:43conference.

10:44I think Vegas, I think it was the first

10:49keynote just after...

10:52I think there'd been some sort of things

10:53happening in Vegas that week.

10:54And basically we had to sort of get back

10:56together again.

10:57And it was great.

10:58It was just so good for everyone to be

11:00together, even though just a few weeks

11:02before something quite sort of horrible had

11:04happened.

11:05And yeah, the energy was great.

11:07People got together.

11:08We banded together.

11:09We helped the community and it was nice.

11:11It really sort of showed the togetherness

11:12of the community.

11:13It's not sort of a traditional wow moment

11:15as you'd probably expect from conference.

11:17But to me, I think that was one of the most

11:19standout moments.

11:20We all got up and we did our thing and it

11:23was good fun.

11:24When are you guys releasing a new podcast

11:27from Anna?

11:27Good question.

11:29We haven't done a podcast episode in a

11:30while.

11:31That's partly because I've been a dad.

11:34I'm about to be a dad again.

11:35So scheduling has become a little bit

11:38tricky.

11:38So it's one of those things that we'll get

11:40back to it as soon as we can.

11:42Ravi's schedule has changed as well.

11:44One of the conveniences used to be that we

11:45worked together so we could easily

11:47schedule things because we had a very, I

11:49guess, our sort of work life sort of

11:51aligned quite often because there were

11:53common things that we did together.

11:55But beyond that, it's been a little bit

11:57tricky.

11:58So we will get back to it once things

11:59settle down a bit more.

12:00But nonetheless, we will get back to it.

12:05AJ, you want to know about Ravi's LinkedIn

12:07profile?

12:08I think if you just Google Ravi Mystery, he

12:12'll sort of pop up.

12:13Here he is.

12:14I can't believe you.

12:16Do you know what you should check that your

12:20laptop's plugged in?

12:21My laptop is plugged in.

12:24It was not. And therefore it just was like

12:26your battery's low and then turned off.

12:28Yeah, it's good.

12:30I had to ad-lib a little bit.

12:31Let me just check.

12:32You've broken all the little streams again.

12:36Now I have to go back adding you back in.

12:37Here we go.

12:39There we go. That's good.

12:40Let's go back to this one.

12:41I do back in.

12:43Good. I'm doing this live just because it's

12:48a preview mode.

12:49I'm going to make sure that this is a

12:52planned stunt, right?

12:53Yeah.

12:54To make sure that everyone knows that this

12:56is live.

12:56Yeah.

12:57So we're waiting for Tablo software to

13:00start streaming.

13:00That's what our little conference for you

13:03says here.

13:04Let me add you back in here as well.

13:06There you go.

13:08So, yeah, apparently we're waiting for

13:09things to kick off.

13:10I'll stick on this for you just so that

13:12when it kicks off, we've got everything.

13:14We're ready to go.

13:15So we won't see the chats anymore in the

13:18middle of the screen.

13:18We'll just bring them on the screen if we

13:21need to.

13:21So, yeah, Courtney saying hi.

13:25Nice one.

13:27It's quite exciting.

13:29We've got lots of comments, lots of

13:31activity in the comments.

13:32We've got 45 people watching.

13:33This is great.

13:34This is what we live for.

13:37Love it.

13:38Exactly.

13:39Exactly.

13:40So, yeah, we didn't get any responses to

13:42the question about whatever is expecting

13:43and hoping and dreaming from this keynote.

13:46Yeah.

13:46So do drop them.

13:47So I'll ask you, Tim, what are you hoping

13:49and dreaming for?

13:50What is your moonshot for today?

13:52My moonshot for today, you know, it's the

13:55same old usual layout and features and

13:58stuff like that.

13:59You know, design, formatting, stuff that

14:01makes the workflow flow better.

14:03There's always this chat about the flow,

14:05being in the flow with Tableau.

14:07And I'm looking forward to stuff that just

14:08makes that a little bit easier to work with

14:10.

14:10So, yeah, we should be good.

14:12You can see the live streams kicked in as

14:14well now.

14:14So we are pumped to go.

14:17Taha, welcome.

14:20Deep, deep effort from joining from

14:24Bangalore as well.

14:26Exactly.

14:26The stream is warming up.

14:28You can see, start seeing the...

14:31This is where everyone's at.

14:33Let's not lie.

14:36It's the only place to watch it.

14:37It's where you get that conference feel

14:39where, you know, you're sitting once the

14:40people in the communities

14:42and you just get in the chat whilst things

14:44are going on.

14:45Matt Francis wants spellcheck, is what I've

14:48seen in the chat.

14:50Spellcheck, yeah, I've just sort of come up

14:51.

14:52Yeah, yeah, yeah.

14:53Spellcheck, I would argue that that maybe

14:55already exists in WebEdit with Grammarly

14:58installed in your browser,

14:59but that's not quite what you're going for,

15:01Matt, is it?

15:02No.

15:04Clippy for Tableau, interesting.

15:06I'm fully on board for Clippy for Tableau,

15:09right?

15:09Like, there's such a big desire and need,

15:13in my opinion, for something that helps a

15:17new user,

15:18like the data orientation side of things,

15:20as well as Vis orientation.

15:22Exactly, exactly.

15:25But yeah, again, this comes back to Flow,

15:28right?

15:28When you first open Tableau, that's the

15:30beginning of any level of Flow you might

15:32have.

15:33Yeah.

15:36So yeah.

15:37Let's make sure this is working.

15:40Remember last year, we were sitting here

15:42and it actually had started,

15:43and it's because the page didn't refresh.

15:46Yeah.

15:47Let me just do this.

15:52There we go.

15:53This says live now, so that's good.

15:56So Francois dropped in a message saying

16:00that if anyone's watching that,

16:02anything that we mentioned, hopefully devs

16:05on stage will address that.

16:07Lots of things on Vis, interactivity, data

16:09server, and online.

16:11Prep on public.

16:14That's an interesting one.

16:16Karl will be very happy with that.

16:18Well, I mean, I've got this thing in my

16:22head where I don't think prep public,

16:24or prep on public, whatever you want to

16:26call it, would work.

16:28Okay.

16:28But maybe that's another conversation for

16:30another time.

16:31Teasing.

16:36Francois saying the saving spell check

16:38until we're all together in person,

16:39you can get a standing ovation.

16:43That is legit a very good reason.

16:47I feel like you'd have to have security to

16:49stop like Matt and Sam,

16:51like holding them back, like just being

16:53like, no, no, no, stay down, stay down.

16:57Exactly.

16:58Exactly.

17:00Sharks with laser beams.

17:02It's like sent with lasers and iMessage,

17:04right?

17:05Yeah, exactly.

17:07Which is such a nice feature, right?

17:08Like it's one of those things you use it

17:11sometimes, but it's nice when it's there.

17:13Yeah.

17:13Kind of like story points.

17:14Exactly.

17:17Oh, templates.

17:19Yeah, I think that's going to happen.

17:20I think there's already sort of signs of

17:22that if you look at the extension gallery.

17:24There's sort of lots of hints in the

17:26extension gallery that hints that, you know

17:28,

17:28Tableau are sort of opening up the

17:31landscape for partners and developers to go

17:35in and build those things that they don't

17:37have time to build.

17:38So I think that's going to be possible.

17:40And I think you've seen elements of that

17:42from the community anyway.

17:44Like I think you've seen like the BBC style

17:46guard, JLL style guard, of course.

17:48Yeah.

17:49I think when I was at the information lab,

17:51we often did these like starter workbooks.

17:54And I think I've done it in my current

17:55employer as well.

17:56We've shared just a star workbook with

17:59right here's how we're going to lay out.

18:00If you don't want to think about formatting

18:03.

18:03Here's a starter dashboard for you because

18:05it's just XML, right?

18:06Yeah, exactly.

18:08So that helps.

18:11So let's see.

18:12I'm just checking the TC website, make sure

18:15that the other stream hasn't started yet.

18:17Yeah.

18:18Well, we're just out of time.

18:19So I think just to let everyone know, there

18:24will be a slight lag if you're watching

18:25with us.

18:26I mean, it's the more fun way to watch it.

18:28Yeah, it's about 20 milliseconds.

18:31So 10 milliseconds to you, 10 milliseconds

18:33back.

18:33And that's basically how it works.

18:34So if you post something, the stream says

18:38it's starting in five seconds or five

18:40seconds.

18:41Okay.

18:41Okay.

18:43All right.

18:43Let's see.

18:44Let's see if we get fed in five seconds.

18:47Here we go.

18:49So Francois says it's starting in the US

18:52now.

18:52All right.

18:53It is.

18:54Damn on a quick note from me.

18:56We had technical issues right at the

18:58beginning of the stream, which meant that

18:59we actually missed some of the customer

19:01sections of the stream.

19:02It also turns out we wouldn't have been

19:04allowed to show you those here on YouTube

19:05anyway.

19:06So if you want to catch those head to Table

19:08au's YouTube channel, they've got the video,

19:10the full video of the conference there.

19:13Catch the first 20 minutes and we'll carry

19:15on in this live stream by only showing you

19:17the product announcements.

19:19Enjoy.

19:19There you go.

19:19Perfect.

19:20To the cloud and to Slack.

19:23Nice.

19:24So back in time.

19:25We're back in time.

19:28You're echoing.

19:29You're echoing again.

19:32That's why.

19:33Okay.

19:33There we go.

19:33Okay.

19:34Thank God.

19:35Let's go.

19:36Let's go.

19:36Why didn't this work the first time?

19:41Oh, my word.

19:42Right.

19:44Interactivity, data management, and new

19:46ways to engage this incredible community.

19:49You won't want to miss it.

19:51But with all of the successes that we've

19:54had, we still haven't reached the full

19:57potential of.

19:58Nice to see you Anna.

19:59There are still too many people that aren't

20:01getting answers from their data.

20:04Too many people that aren't data rock stars

20:06.

20:07Yet.

20:08And too many organizations that don't have

20:10a data culture.

20:12Yet.

20:13Yet.

20:13In order to make analytics truly pervasive,

20:16we need to make data dramatically easier to

20:20use.

20:20More powerful than ever before.

20:23And more trusted than ever before.

20:26And we need to enable you to get the

20:28insights faster.

20:30This is the journey that we're on.

20:34And the first step on this journey is to

20:36make analytics more collaborative and more

20:39accessible.

20:40Today, we live in an all digital work from

20:43anywhere world.

20:45And unfortunately, data and analytics are

20:48not integrated into all of the apps that we

20:51now use every single day.

20:53People have to leave these tools to go

20:56somewhere else.

20:57Alex, is it better?

20:59And if they have additional questions for

21:01the experts, well, they have to yet again

21:04go somewhere else.

21:05It's frustrating.

21:06We think there's a better way.

21:09That's why we're making data.

21:11Someone was online earlier.

21:13Where data feels more like a colleague.

21:16Good.

21:17Oh my word.

21:18And it gives you answers directly.

21:21Let's get into the feed.

21:22Let's go.

21:23Reach out to you when there are problems or

21:25opportunities that you should be aware of.

21:28And where you can have a conversation,

21:30collaborate on your insights and get to

21:33answers faster.

21:35This is collaborative analytics.

21:37Reduce time to insight, someone?

21:39Press the ding. Press the ding.

21:40Work the way you work.

21:42I'm all over the place.

21:43And whenever you need answers from your

21:46data.

21:47Jonathan's there.

21:48Hi, Jonathan.

21:48Hey, Jonathan, Steve, Mark, Anna.

21:51Legends.

21:52They're all back.

21:53Right where the conversation happens.

21:55It's easy, direct, immediate and powerful.

21:59So visualizations in Slack.

22:01Talk to me.

22:02I don't care until it's in Teams.

22:03I don't care until it's in Teams.

22:06Thanks, Francois.

22:07Hi, everyone.

22:08I'm sure it's coming via an extension.

22:10This stream is so important to my day to

22:12day job as well as with many of our

22:14customers.

22:15Have you ever been in Slack talking with a

22:17colleague and realized you need data?

22:20Well, guess what?

22:22I'm extremely excited to share how we're

22:25bringing Tableau into Slack.

22:27For today's demo, let's pretend I'm

22:29Florence, a new fleet manager at a delivery

22:33company.

22:34I'm responsible for monitoring.

22:35Yes, Steve, I think we should be louder

22:37than the stream.

22:38Just so you can hear us clearly when we're

22:40talking.

22:41With my team.

22:43Oh, it looks like I just got a notification

22:45on a change in gas price.

22:47Since I'm a fleet manager, an increase in

22:49gas price can be really concerning to my

22:51bottom line.

22:52I'll need to take a look.

22:55Introducing Tableau notifications directly

22:58in Slack available at our 21.3 release.

23:02Data proactively comes to me.

23:04If it's not in Teams.

23:06I get notifications for data driven alerts

23:09as well as things like shared content and

23:11in the future prep and extract

23:14notifications.

23:15Next, we'll look at what's coming in a

23:18future release.

23:19So I guess there's going to be an API,

23:22right?

23:23This will give us webhooks and things like

23:24this.

23:25I could open this directly in Tableau, but

23:27I also have the option for more discovery.

23:29A lot of people are Teams based as well.

23:31Explain data in Slack, which helps you

23:34understand the why behind your data.

23:36According to Explain data, the cost of

23:40premium gas in particular has increased.

23:44Now, if I want to find data or dashboard,

23:47do I need to leave Slack?

23:49Not anymore.

23:51With Tableau search in Slack, data is at

23:53your fingertips.

23:54It's easy.

23:57Just search straight from Slack and all

23:59your Tableau content is available.

24:01Discover insights directly in the flow.

24:05It's probably worse than the flow.

24:09This is awesome.

24:11I immediately have search results available

24:14to me.

24:15Here's the data I was looking for.

24:18With one click, I can jump.

24:20So I wonder how this is ordered.

24:22Is it going to be ordered based on what you

24:24've looked at?

24:25On popularity.

24:27I think the work they've done on

24:29recommendations is quite good.

24:31100%.

24:33It's getting better.

24:34So the visual cues here are also really

24:41interesting to note as well.

24:42Because again, it's that improvement in

24:44vast data to make it so much easier to

24:46understand what's happening.

24:48And the pertinent points.

24:51And Tableau has always been great, the

24:53visual cues, so it's good to see that.

24:55Now everyone on my team can collaborate on

24:58data right in the flow of our work.

25:00It looks like Savannah from my team has an

25:02idea.

25:03She suggests phasing out the vehicles in

25:06the fleet that take premium gas.

25:08That's an interesting thought.

25:10Now I wonder how many of our fleet vehicles

25:14actually require premium gas.

25:17I don't have to go back to ask data in the

25:20browser.

25:21I can have a conversation with my data

25:24directly in Slack.

25:26I'm thrilled to show you ask data for Slack

25:29.

25:29Anyone can simply type a question and get

25:32visual answers.

25:34And again, I think we've come back to data

25:35orientation, which is what you talked about

25:37from the stream started.

25:39You need to have an intimate understanding

25:42of the data itself.

25:45And you're assuming that with these

25:47features that people understand the data

25:49they've got access to to ask those

25:50questions.

25:51And really you want to educate people to

25:54ask better questions, which is hard.

25:57It's tough. It's a tough balance to get

26:00around.

26:00And I have a prediction on vehicle

26:02maintenance.

26:03I can access predictive insights with ask

26:06data.

26:07Let's ask the question.

26:09Yeah, Mark, that's definitely what I'm

26:11going to check back on.

26:13The data literacy pieces, because obviously

26:15that's something that I'm quenched.

26:16I'll share this with my team so we can put

26:20a plan in place to phase out our premium

26:23vehicles when they're due for maintenance.

26:25I'm feeling great about managing fuel

26:28consumption for the fleet.

26:30We were notified of an increase in gas

26:32price.

26:33We're able to discover more insights with

26:36explain data and ask data.

26:37Leverage the predictive power of Einstein

26:40Discovery.

26:41Easily search for Tableau content.

26:44Craig going in with the exact question we

26:46had.

26:46Slack versus analytics.

26:48David sends a colleague and is integrated

26:51into my workflow.

26:52Thank you so much for watching how Tableau

26:55and Slack can be better together.

26:58Back to you, Francois.

26:59This speaks to you.

27:01I cannot wait until we're able to all talk

27:04to our data and get insights directly in

27:07Slack.

27:08Now, making analytics more collaborative

27:10and accessible.

27:11That's the first step to take analytics to

27:15the next level.

27:16You need AI and advanced analytics to be

27:19built everywhere that you work.

27:21AI and BI.

27:22Because the complexity of questions you

27:24have just keep getting higher and higher.

27:27We hear from you that you want to solve

27:29more advanced analytics with Tableau.

27:32You want to be able to easily add

27:34predictions in your analysis to know not

27:37just what happened,

27:38but what might happen next.

27:40You want to be able to analyze different

27:42scenarios to understand outcomes.

27:44Jonathan is sitting there on the head there

27:46.

27:46And you want to be able to classify your

27:48data, determine the next best action and

27:50streamline decision making.

27:52Which again comes back to flow, right?

27:53Like education is the start of that flow

27:55and then you move towards the insight.

27:58Today, it requires specialized tools with

28:01specialized skills and a lot of time and

28:04effort to drive success.

28:06Well, we believe that everyone should have

28:09access to intelligent, actionable insights.

28:12That's why we created a whole new class of

28:15analytics called Business Science.

28:18Business Science brings data science

28:21techniques to more people so they can solve

28:24more complex business problems.

28:26Making the people with the business context

28:29equipped with more powerful insights than

28:32ever before.

28:33And as you would expect from Tableau, we

28:36can democratize this to put it in the hands

28:39of every analyst.

28:40And we took the first step earlier this

28:43year by introducing Einstein Discovery in

28:46Tableau.

28:47So here's a question.

28:48Is this in our session?

28:50We talk about this, right?

28:53I think we do talk about this.

28:55Well, today we're expanding Tableau

28:57business science capabilities even further

29:01prep with model building and scenario

29:03planning.

29:04Our faces are the way of the big

29:06announcement.

29:06Yeah, I'm just thinking, why do I move our

29:10faces?

29:11And compare a variety of outcomes and

29:14scenarios directly in Tableau.

29:16Yeah, maybe.

29:17We want to make it so everyone has the

29:19right tools at their fingertips.

29:21And we're making Tableau the place where

29:24you can solve your advanced analytics.

29:26Craig is saying what I didn't want to say.

29:28I'm going to kick it over to Richard to

29:30show you what's next.

29:31Richard, over to you.

29:33Thank you, Francois.

29:34Everyone's talking about how artificial

29:37intelligence is going to transform business

29:40.

29:40But in most areas, AI can't solve problems

29:43alone.

29:43Business science is all about combining

29:45domain expertise with AI to help more

29:47people make better decisions faster and

29:50more easily.

29:51How can our decisions be better informed?

29:53Better decisions faster?

29:55I have a dashboard that helps me plan for

29:58coffee sales at my hotel coffee shops based

30:01on historical data.

30:02I'm already seeing that next year hotel

30:05reservations are looking much better than

30:07last year.

30:08How can I predict how the increase in

30:10reservations is going to impact coffee

30:12sales?

30:13Well, now with Tableau Model Builder, I can

30:16easily add in predictive analytics all

30:18without leaving Tableau.

30:20So I agree with Francois.

30:23I much prefer business science than citizen

30:26data scientists because that word triggers

30:32me.

30:32Next, I choose the field I want to predict,

30:36in this case coffee sales.

30:38More specifically, maximizing coffee sales.

30:40Model Builder automatically scans my data

30:43to select the fields that are going to be

30:44most useful for my prediction.

30:46But I can always apply my own understanding

30:48to select what's important.

30:50I think what's interesting with this is the

30:56same thing when Alteryx did something

30:58similar, the same thoughts, which is I'm

31:00not a statistician, but this will help me

31:03build a model.

31:03On one hand, that's really good because it

31:05means that anyone can tweak and build a

31:07model, but it means anyone can tweak and

31:10build a model.

31:11So you might end up with a lot of over

31:13fitting or something similar along those

31:16words.

31:17There's a lot more education in the flow,

31:19which I really like because I think that's

31:22the best way to have these.

31:24I'm always skeptical about one-click AI, if

31:28that makes sense, or modeling.

31:31There's a big gap in that.

31:34You have to really empower the right people

31:36with this kind of capability.

31:38And get their feedback on the model for

31:40maximum trust and transparency.

31:41After reviewing the characteristics, we're

31:44ready to deploy the model.

31:45And because we're still in the Tableau

31:47environment, in just a couple of clicks, I

31:50can deploy the model using my current

31:52project and permission structure.

31:54The model is now in production, and I was

31:56able to do all of that by myself within

31:59Tableau.

31:59I already connected it to my original

32:02dashboard.

32:03What's not clear if that's the prep

32:04interface or if this is inside of prep?

32:06Does that make sense?

32:07I think my assumption is this browser.

32:10Of course.

32:12My assumption is this is all just the

32:13browser.

32:14It's accessible machine learning to make

32:17predictions right inside Tableau.

32:20It's just in Tableau.

32:21Now, once we predicted the future and seen

32:23that coffee sales are expected to rise, how

32:25can business science help us decide what to

32:28do about it?

32:29Think about the last planning spreadsheet

32:31you used.

32:32Clicking on different cells to change

32:33values.

32:34The plan?

32:34Trying to see what the overall impact would

32:35be.

32:35The other thing I'd say is that marketing

32:37is not really targeted at us.

32:39It's targeted at the lay user who opens a

32:42product for the first time.

32:44Business science makes sense.

32:45Model Builder helped us predict higher

32:47sales, and I know I need to prepare for the

32:49increase.

32:50But how do the decisions I need to make

32:52around inventory management ultimately

32:54affect profitability?

32:55Cool.

32:56So Francois, will this live in prep, though

32:58?

32:58That was Tim's question.

33:00Will it be in the prep side of things, or

33:03will it be in a browser as its own space?

33:05Let me introduce you to some new technology

33:08we're working on in Tableau Labs called

33:09scenario planning.

33:11I already have some scenarios saved that

33:13show the impact of manually changing

33:15inventory policies.

33:16If I click on higher March demand, you see

33:19on the right that in this scenario, demand

33:22for coffee in March increases to 65,000.

33:25That should be great news.

33:27The answer is it's in Tableau, Ravi.

33:29Doesn't matter where.

33:30And lower profit.

33:31Everywhere.

33:32It is everywhere.

33:33It's in Tableau everywhere.

33:35That's what you need all the cool things

33:36about.

33:36In the browser.

33:37This is made possible by a transparent

33:40simulation model of the business.

33:42Nice.

33:43But imagine if Tableau could recognize...

33:45It's the correct place to put it, because

33:46that gives you the ability to do it.

33:49Exactly.

33:50I click here to add some scenarios.

33:52New workflow.

33:53And I can ask for suggestions.

33:54New model.

33:55New business.

33:56To help the AI suggest scenarios, I

33:58identify where I want to start with higher

34:00March demand.

34:01I choose a target, customer satisfaction,

34:05and a goal, 100%.

34:07I click generate, and the AI explores

34:09different values for my scenario parameters

34:12that can help achieve the goal.

34:14If I increase the amount of inventory I

34:16keep on hand, then customer satisfaction is

34:19improved, but profit is lower.

34:22It's like what-if analysis on drugs, right?

34:23Or I can switch to a faster vendor.

34:24Do you know that default Tableau workflow

34:27with the parameters?

34:29With the parameters.

34:30Yeah, they might need to change that a

34:33little bit.

34:34Now customers are extremely happy, and my

34:36profit is higher as well.

34:38By saving those scenarios back to my plan,

34:40I can bring them up for discussion with my

34:42colleagues and make the case for changing

34:44vendors.

34:44Interesting.

34:45And once again, we are doing this all year

34:46in and out.

34:46I agree with Craig's.

34:48I think that feels...

34:50I can collaborate on these simulations with

34:52others and publish those in dashboards that

34:52help my students.

34:52...is where I sit.

34:53I'm kind of thinking like...

34:55This is business science.

34:57If we were talking just now about

34:59collaborating and ask data and thinking

35:01about the questions that people are asking,

35:03then how can we expect a business user to

35:06get to this point?

35:07Maybe it's like, again, it helps that

35:09funnel of you're not looking at just the

35:11new users, you're not looking at just

35:13experienced users, but it's moving those

35:15people along and it might help.

35:17And that gives Tableau some time to build

35:20out the future better, I guess.

35:22But insights are only as good as the data

35:25that you have.

35:27In order to trust the insights, you need to

35:30trust the data too.

35:31That's why we've been adding data

35:33management capabilities directly in the

35:35Tableau platform to help you catalog,

35:38prepare and secure your data.

35:41Because let's face it, working with data

35:43today, it's still too challenging.

35:45It's one of the biggest problems we hear

35:47from all of you.

35:48How do you find the data you need to answer

35:51the questions you have?

35:53How do you make sure you know where the

35:54data comes from and whether it's trusted?

35:57And how can you make combining, reshaping

35:59and cleaning your data something that

36:02anyone can do?

36:03And on top of that, we have more data

36:05coming in faster than ever.

36:07It's not a data explosion, it's data chaos.

36:12Well, we've been hard at work to help you

36:14solve this problem.

36:16Starting with Tableau Prep, we've made

36:19preparing data easy, visual and direct.

36:22And since we introduced Tableau Prep just

36:24over a couple of years ago, tens of

36:26thousands of people are now using Prep

36:29every single month to get data ready for

36:32analysis.

36:33It's just there for lots of people, right?

36:35We've added Prep Conductor to help

36:36operationalise your data and ensure that

36:38your data can stay on and the time is level

36:42.

36:42And now several thousand organisations are

36:45scaling data preparation with Prep Cond

36:48uctor.

36:49And last year we introduced Tableau Catalog

36:52, enabling you to get a complete picture of

36:54all of your data.

36:55This is probably the best place for us to

36:56watch your organisation.

36:58What I should do is make it smaller and

37:01have us on the side so it doesn't clash.

37:03And helping your users understand what your

37:06data means and whether it's trusted.

37:08This is the foundation for Tableau's data

37:11management capabilities.

37:13And we're going to extend it even further

37:15this coming year with increased security,

37:18governance, scale and flexibility.

37:20And to show you all of the latest, here's P

37:24arnam Afarar.

37:25I'm excited for Prep.

37:26I feel like that's one of the best products

37:28I've enjoyed using.

37:29Tableau makes it so easy for anyone to work

37:31with their data.

37:32Well, now the pace is relentless.

37:35Well, now the pace is relentless.

37:35Well, now the pace is relentless.

37:35Well, now the pace is relentless.

37:35Well, now the pace is relentless.

37:36to curate and govern data too, because

37:38organizations want self service with

37:41governance. They want to balance

37:43empowerment with control. We are now

37:46taking the next steps to help you centrally

37:48manage, govern, and secure all

37:50of your data connections. Introducing

37:53virtual connections. Virtual connections

37:55are centrally managed and reusable access

37:57points for data. It is the one

38:00place to define security policies and

38:03define data standards for your users.

38:05Nice. This gets an applause. Let's press

38:10the applause button.

38:10[airhorn]

38:13When I connect to the database, I can

38:14choose the tables that I want to govern.

38:16And that's it. It is that simple. I can

38:20also easily define centralized row level

38:23security. Let's set up a policy to

38:25establish regional access for sales.

38:28This policy can easily validate.

38:30This feels like AWS with security policies,

38:33right?

38:33Yeah. So the intro, what I'd love to see

38:36here is like templates.

38:37This is an example of what we could do and

38:41spot across.

38:43Now, here is a workbook that uses my

38:48virtual connection.

38:49It is easy to review the lineage and

38:52understand the impact of the data.

38:54I did just do that.

38:56But, notice how all of these descriptions

38:59are blank.

39:00Adding descriptions is extremely helpful

39:03for my users to understand the meaning of

39:05my data.

39:05So going back to the point about data

39:07catalog being pricey.

39:09With this sort of thing, you start seeing

39:11the value and it starts to build a better

39:13case.

39:14Right. Potentially, yeah.

39:16I think it's just that age-old problem

39:19where typically Tableau customers have been

39:22used to getting everything in one price,

39:24right?

39:25We are introducing the capability to bring

39:28external metadata into Tableau so that it

39:30fits right into your enterprise data

39:32ecosystem.

39:33Here, I am bringing in metadata from Al

39:37ation into Tableau.

39:40Now, I can keep my enterprise data catalog

39:42in sync with Tableau for all users.

39:46All the way from the database right down to

39:48the viz on their phone.

39:49The final step in my journey today is to

39:52start using my data.

39:53But, there's a quick pit stop.

39:56Data preparation.

39:58With Tableau Prep, preparing data is easy,

40:01visual, and interactive.

40:03We have been adding new capabilities to

40:05Tableau Prep every month.

40:06And you've also told us that you want even

40:09more flexibility and reusability.

40:11Targeted for a future release, Prep

40:14Extensions will let you extend the power of

40:16Tableau Prep with reusable functionality

40:18that gives you unlimited possibilities.

40:22In this case, I am looking at the sentiment

40:25analysis.

40:26I see that Prep Extensions have a sentiment

40:28analysis tool that is developed by the

40:31Tableau user community.

40:33I can install this tool.

40:38And once I run the flow, I quickly see the

40:40positive or negative sentiment.

40:43Collaboration doesn't just stop there.

40:46The community around Tableau Prep has been

40:48growing significantly.

40:50Community such as Workout Wednesday, Pre

40:52pping Data are driving engaging

40:54conversations on how the Tableau user

40:56community.

40:58I think I fixed it.

40:59I can install this tool.

41:02And once I run the flow, I quickly see the

41:05positive or negative sentiment.

41:07Collaboration doesn't just stop there.

41:09This is great.

41:10I think this allows for packaging so many

41:12different things around it and again gives

41:14that allow.

41:15Wednesday, Prepping Data are driving

41:17engaging conversations on how can I make my

41:20experience even better.

41:21Today, the community copy pastes flows or

41:24exchanges it over email.

41:26The more we can collaborate across data

41:28enthusiasts, the more powerful our data

41:31insights become.

41:32That's why we are sharing data insights in

41:35Tableau Prep.

41:36There it is.

41:37You will be able to shift from the

41:40practices and learn from others.

41:42So this is sharing flows, right?

41:44This isn't Prep public, so I can still have

41:46my...

41:47All these innovations.

41:48Tableau Data Management brings intelligent

41:50data governance, preparation and cataloging

41:53together to make it easier to discover,

41:56understand, connect and trust all your data

42:00in a repeatable and scalable way.

42:03Now, tell us what's next, Francois.

42:06Thank you, Purnima.

42:07That was awesome.

42:08From virtual connections to centralized

42:11role level security to prep extensions and

42:14prep in public.

42:15That's incredible.

42:16I cannot wait to see what you do to bring

42:19trusted data to everyone.

42:21It's a file store, which is well needed, I

42:24think, especially for the community events.

42:26It shows people how to do stuff.

42:28And we want to help you get to insights

42:31even faster.

42:32I'll come back to that point later.

42:33To really drive a data culture, you need to

42:37bring analytics everywhere.

42:39In a data-driven organization, every

42:42process is a data process.

42:44Every app is an analytical app.

42:47And every dashboard becomes actionable and

42:51enables you to close the loop from data to

42:54insight to action.

42:55This is the next phase in our journey.

42:59We connect the Tableau community with new

43:02opportunities for growth and development,

43:05helping to unleash creators and builders so

43:08they can build amazing solutions on the

43:10Tableau platform

43:12and helping customers discover the

43:15solutions they need much more easily.

43:17And here to talk a little bit more about

43:19what's ahead, please welcome Kate Wright.

43:23Hello, Tableau community.

43:25Let's talk about the innovation we are

43:27doing to fuel the Tableau economy.

43:29So you can bring analytics everywhere.

43:31As Mark talked about, what we have done

43:33together is amazing.

43:35And yet there is still so much to do to

43:37bring data success to everyone.

43:39We want more people to have access to these

43:41data-driven opportunities,

43:42starting with our talented community.

43:44Tableau Public has become a special place

43:47for networking, sharing, and learning.

43:50Oh man, shared photos as well.

43:52Connect to SharePoint, OneDrive.

43:53You even use it to show off your portfolios

43:57.

43:57So we asked ourselves, what if you could

43:59more easily advertise your work?

44:00Now you can with the Hire Me tag.

44:04Hey.

44:04Let people know that your skills as seen on

44:06Tableau Public are available here.

44:06Nice, good show for three years as well.

44:08Exactly.

44:09Of course, the community on Tableau Public

44:11is only part of the data fam we want to

44:13help succeed.

44:14Another critical part of the Tableau

44:16economy is our partners.

44:18It's interesting.

44:18Together, we can enable an entire ecosystem

44:20of solutions.

44:21Finally monetizing public in a way, right?

44:23That's why today I'm announcing our plans

44:26for the Tableau Exchange.

44:28Here we go.

44:29Oh yes.

44:30Our partners and us discover, share, and

44:33trade the assets you need to accelerate

44:35success with Tableau.

44:35This with Exchange makes a lot of sense,

44:37right?

44:37Yeah.

44:38If you've used the Tableau Gallery before,

44:40you know you can discover a wide variety of

44:43extensions.

44:43I'm so excited for accelerators.

44:45The Tableau Exchange will take you out a

44:46step further by adding new assets.

44:46I think accelerator is going to really

44:48change the game.

44:49Starting with data sets.

44:52Data is at the center of everything we do,

44:54but finding, cleaning, and bringing data

44:57into Tableau.

44:57Oh man, data sets in the Tableau Exchange

44:59just blows everything away.

45:01Like I've banged on so long that Tableau

45:03Public should just buy data.world.

45:05But if you have created it here, who needs

45:07it, right?

45:08Like you'd see it while you were doing

45:09analysis.

45:10My key issue with that is what database are

45:13they going to use to deliver those data

45:14sets?

45:14How is that going to work?

45:15That's why we are introducing the Tableau

45:18accelerators.

45:19What's the sort of middle ground there?

45:20We began with dashboard starters.

45:22Built by us and our partners, they are

45:25designed to leverage best practices from

45:28different types

45:28of analysis and can help you jump straight

45:30into solving your problem.

45:31Instead of starting from a blank canvas

45:33with Tableau, grab the accelerators.

45:36This is like templates, sort of.

45:38Exactly.

45:39The starting workbook that I share with my

45:41teams.

45:42While still providing a high level of

45:45customer satisfaction.

45:47Use our service management accelerator to

45:50make the best data-driven decisions.

45:51There are tons of initiatives to be placed.

45:55It's becoming a platform.

45:56To enhance your data and analytics

45:57solutions and deploy them even faster.

46:00And as a partner, you will soon be able to

46:02publish your own solutions into the Tableau

46:05Exchange.

46:06Now, speaking of building solutions, we are

46:09working hard to open our platform to

46:11support

46:12all of the imaginative solutions that you

46:14want to build.

46:16We don't know what all those possibilities

46:17are, but if you can dream it, we want to

46:21enable

46:21you to build it.

46:22We've been building out the Tableau APIs a

46:25ton over the past several years, and you

46:28have

46:28taken advantage of it.

46:29Customers like Cerner are already using

46:31Tableau to create analytical applications

46:34that improve

46:35healthcare outcomes, reduce costs, and

46:37manage utilization.

46:38And we're going to extend our capabilities

46:40even more.

46:42We will start by making it easier for

46:44developers to connect to Tableau.

46:46By providing identity and access

46:48capabilities for you to use your favorite

46:50third-party auth

46:51provider to manage users rather than

46:53managing them with us.

46:54You will also soon be able to embed the

46:58full magic of Tableau into your apps.

47:00Starting with web authoring, soon you can

47:03build rich and wonderful capabilities like

47:05vis editing and exploration right into your

47:08applications.

47:08Very cool.

47:09That's awesome.

47:09You will not need to download desktop

47:11anymore.

47:13This is the flow.

47:14This is true flow.

47:15This is where you can start with a dataset,

47:18have your own portal, have your own breadcr

47:20umbs

47:20that you can create for people to start

47:21building.

47:22We plan to make more and more of our

47:23capabilities available programmatically for

47:26you to use

47:26as you see fit.

47:27I agree Anna.

47:28I agree.

47:28Imagine putting a customized ask data into

47:30your own application and programmatically

47:32interacting with it, or designing a

47:34dedicated experience to monitor your

47:36metrics.

47:37We know you want to infuse analytics into

47:40every application and process in your

47:42organization.

47:42You want analytics everywhere.

47:45It's interesting.

47:45This is how we are going to do it together.

47:48Now, as we create more and more powerful

47:51analytics experiences, we want to make sure

47:53our platform

47:54makes it easier to go from insight to

47:56action.

47:57Of course, we have actions in Tableau today

47:59, like filter actions and URL actions, but

48:02we

48:02are taking that up a notch.

48:03Welcome to the new Tableau actions.

48:07Soon, and already in preview, Tableau

48:09actions will give you one-click execution

48:12of any action

48:13in any external service by any user.

48:16Today, we are building in new actions like

48:19kicking off a purchase order, emailing a

48:21client,

48:22or sharing the dashboard.

48:23Oh, okay.

48:23We are starting with Salesforce Flow, but

48:26over time we will support more workflow

48:29engines.

48:29So again, in the sports world, this really

48:32helps because you can start thinking about

48:34what can I do within the thing now?

48:36As a call center manager, I use this case

48:38tracking dashboard to manage all the

48:39tickets

48:39my team's working on and ensure our

48:41customers and our KPIs look healthy.

48:43It's like event-based activity, right?

48:46Right as I am looking at them.

48:47With a button, because it feels nice to

48:49click a button.

48:50Look at data, make a decision, kick it into

48:52action.

48:52Those are like your three steps, right?

48:54Yeah.

48:54From here, I can browse all of the actions

48:57available in my Salesforce org, and I'm

49:00going

49:00to choose the escalate case action.

49:02Okay, wow.

49:09Now I'm going to set it up so that on mark

49:11selection, I will ultimately choose the

49:12cases

49:13to escalate.

49:13Wait a second.

49:17And of course, I'm going to have to map the

49:20fields appropriately.

49:21The detail of this is interesting.

49:23Yeah, right.

49:25I'm not looking at the feature.

49:27I'm looking at like everything else around

49:29the feature.

49:29The last thing I'm going to do is I'm going

49:31to create a new button that's actually

49:32going

49:33to take the action.

49:34I'm going to call it escalate.

49:35Now that the button is configured, let's

49:40see just how easy it is to actually

49:42escalate

49:42a case.

49:43In this example, I know we have a customer

49:45who is dissatisfied with us.

49:47So while this particular support case is

49:49only medium priority, I know it'll really

49:52help

49:52the customer experience to escalate it and

49:53get it rapid attention.

49:55I'm going to go ahead and escalate now.

49:57So designing an action.

50:00I wish was like, if this then that.

50:06Like a flight.

50:06Exactly.

50:08Like a business flight.

50:09Mark has nailed it.

50:10It's a macro.

50:11That's one thing like shortcuts, Siri

50:14shortcuts, Siri shortcuts.

50:15Yeah.

50:16The new Tableau actions.

50:20You can see just how thrilled we are about

50:23our plans.

50:24There we go.

50:25I'll put that on spring.

50:26That's a good one.

50:27Truly bring analytics everywhere because we

50:30are still just getting started.

50:32Thank you.

50:33This is crazy.

50:34Thanks, Kate.

50:37These new capabilities will truly bring

50:39analytics everywhere.

50:41Yeah.

50:41As I said at the start, our mission to help

50:44people see Steve's nail is what drives us.

50:47It's centered on all people from the

50:51analyst, from IT to develop collaboration,

50:55for example,

50:56version control, like levels of commitment

50:59and branching.

51:00As you've seen today, that's the dream.

51:01We're expanding the breadth and depth of

51:03the Tableau platform to help you realize

51:06the full

51:07potential of your data.

51:08It's a lot here.

51:09We're bringing analytics directly where

51:11work happens in the flow of business.

51:13We're expanding the ways to understand your

51:16data.

51:19And we're making it easier to catalog,

51:21prepare, secure, and govern your data so

51:24you can accelerate

51:25the impact of analytics.

51:26And we're going to help you bring analytics

51:30everywhere and unleash your creativity.

51:32The future couldn't be brighter.

51:35Thank you and have a great Tableau

51:37conference.

51:39Great stuff.

51:40Cool.

51:43Right.

51:46So let's debrief.

51:47Let's debrief.

51:47Let's switch over to this one.

51:51You're not in here because you dropped out.

51:53So let's add you back in.

51:55Hey, there we go.

51:56We're back.

51:57God, we made it through.

51:59Can I just say, firstly, oh my God, we made

52:01it through.

52:02And thanks to the folks who joined, rejo

52:05ined, and stuck with us.

52:07Oh my word.

52:08Yeah, that was painful.

52:10Sorry for the trouble, but we made it

52:12through.

52:1230 of you still here.

52:14So that was thank you for being patient.

52:16It feels like all we missed was, I say all

52:18we missed.

52:19We will check this back out.

52:20It's the data literacy part and a couple of

52:22bits on the central customer stories.

52:25And the Do No Harm guide, which I actually

52:27worked on a little bit with Tableau

52:28marketing as well.

52:29It's a really, really cool initiative.

52:32Check out the guide that Tableau have on

52:33their website.

52:34If you search Do No Harm Tableau, you'll

52:36find it.

52:36So definitely check that out.

52:37So let's talk about features.

52:40Let's talk about features.

52:41This is obviously the teaser trailer for

52:44the big event on Thursday.

52:45What was the thing that stuck with you from

52:50that?

52:51For me, everything they announced there was

52:54just increase the height of the ceiling.

52:56Does that make sense?

52:57The exchange.

52:58Prep in public, not prep public.

53:00The way those things come together.

53:03Conversation analytics in Slack.

53:05They're sort of extending the boundaries of

53:07the platform.

53:08And I feel like what we're going to get on

53:09Thursday is going to fill the gaps on the

53:12way to that.

53:13So I think the exchange is actually the

53:15best, to me, the most interesting thing.

53:17Because it's sort of Tableau saying, we're

53:19not going to work on everything.

53:21Here's a platform to enable you as an

53:23economy of people to serve each other's

53:25needs.

53:26And that's a really interesting opportunity

53:27.

53:27Do you put this comment stream back up?

53:32Oh yeah, sure.

53:35For me, I think I'd agree with that.

53:36Because the thing about the exchange that

53:40excites me the most is it's that first step

53:44of reducing

53:45the initial steps you take.

53:46Correct.

53:47And when you're currently starting with

53:50Tableau, you must have to,

53:51if you're a generic lady user, not us,

53:54basically.

53:55If when you first start with Tableau, you

53:59sort of have to think about,

54:00okay, I need to get my head in the game.

54:02What's a measure or dimension?

54:04What do I actually want to build?

54:05And that sort of sucks out the questions

54:08from that flow process.

54:11Whereas if you've got an idea, you start

54:13with the workbook, it will trigger more

54:15questions,

54:16which is the better way of executing that

54:18flow with the accelerators, in my opinion.

54:21So that definitely stuck.

54:23I think the model stuff looks nice.

54:25And I think it's one that I want to get my

54:27hands on a bit more.

54:30But I have the thing that Craig mentioned

54:33in the chat, which was,

54:34there's such a big thing about the gap

54:40between the users that could and should use

54:42it.

54:42Here's the thing.

54:43On the flip side, I'll come to Tableau's

54:45defense here.

54:46But can you afford to wait until it's

54:49mature to have an offering?

54:51In most markets, you have to almost come to

54:54the market premature and have the feature

54:56develop in public.

54:57Our status is pretty average when it came

55:00out.

55:00Now it's actually very usable.

55:02Explain data, the same thing.

55:03I think we'll critique it hard today, but

55:07in five years time, we might not be critiqu

55:09ing

55:09it as hard, and our critique will help it

55:10make it better.

55:11And what's good is that you've seen that

55:14with a lot of the newer features Tableau

55:15created.

55:16You've not had the...

55:22Like our stage, explain data, they've been

55:25shipped as what we'd arguably say is...

55:30What's the possible good way of putting

55:31this?

55:31They're not done, but they're shipped

55:34because they want to see them used by the

55:36community,

55:37by the users, and then seeing where the

55:40pain points are to then develop the next

55:42step is

55:43to continue that the example Craig's put

55:45there.

55:46You put the rocks down and you're like, "

55:48Right, what are you going to do?

55:50Where are the bits you're actually

55:51interested in doubling down on?

55:52What are the pain points?"

55:53Rather than just being like, "Boom, here's

55:56the dynamite and enjoy it."

55:59Which is a better way of building the

56:03product.

56:05So I think you're right.

56:06I think this will grow.

56:08And it might even be one of those things

56:10like the Mac Touch Bar, where they use it

56:13for a

56:14few years and then they silently say, "Here

56:16's that thing you wanted back."

56:17Yeah, exactly.

56:17Exactly.

56:18And we have to be part of that journey.

56:20You can't just turn up with a vision of

56:22what you thought it was because actually

56:23along

56:24the way you might discover a better use

56:25case, right?

56:26And customers might be using it in a better

56:27way.

56:27But I think the exchange is going to be a

56:30huge thing.

56:31I think the chat is talking a lot about

56:33that.

56:33I think it's phenomenal.

56:35It's going to create a marketplace around

56:37Tableau, which I think will just bring more

56:40people into it.

56:41Naturally, there'll be people who have

56:43things to offer, other partners, Snowflake

56:45or 5tran.

56:46They'll suddenly start maybe appearing in

56:49this platform offering datasets, offering

56:51hooks

56:51into other things, offering actions.

56:53I can see Zapier maybe getting involved.

56:55Databricks.

56:56Yeah, exactly.

56:57Exactly.

56:58So there's lots of opportunity there.

56:59And as long as it helps keep on adding

57:02value to the platform, I think that's going

57:04to be

57:05a really good thing.

57:05And I think it will also help with lock-in,

57:07right?

57:07Like the kind of person who's heavily

57:09invested with the exchange will be quite

57:12locked into

57:13Tableau, right?

57:14And so that's a really, really good thing

57:16to add to the ecosystem and just to help

57:18keep

57:18customers in the product.

57:19I'm thinking from a Tableau perspective all

57:20the time.

57:21Like, why would they do this, if that makes

57:23sense?

57:23I think lock-in is a genuine reason, right?

57:25Yeah.

57:26Have you ever seen R-Stays being used in

57:28production?

57:28It's a good question.

57:29By the way, cheers, Steve.

57:33Thanks for tuning in and sticking with us

57:34as well.

57:34No worries.

57:35Thank you, Steve.

57:35Geegone.

57:39I haven't seen it being used in production,

57:41but I do videos every quarter about what's

57:44new in Tableau.

57:45And I have to say the last two releases, it

57:47's actually been quite enjoyable to use.

57:49Like I've gone in and I've typed a very

57:50simple question, maybe because I've trained

57:53myself over time to ask better questions.

57:55Maybe that's what's going on.

57:56But I actually think it's quite good.

57:59Now, I don't think it's used enough.

58:01I think there's not documentation on it.

58:04For example, if a user has access to it,

58:06how would they know to go and find it?

58:08There's not that discoverable in some cases

58:10.

58:10You now require lenses to be set up.

58:13And I think a lot of admins maybe haven't

58:15got around to that activity of setting up

58:16lenses to use it.

58:17You say require lenses.

58:19That enhances the experience.

58:20It's not like a derogatory thing.

58:23I see.

58:24But I think the work hasn't been done to do

58:27that.

58:27So it's yet another task that an admin

58:29maybe hasn't picked up, given that some of

58:31them

58:32are still on older versions, right?

58:33So I think it's a difficult question to

58:35answer because I don't think we've seen

58:37enough

58:37people fall into a version of Tableau that

58:40has the best version of R-Stata, if that

58:42makes

58:42sense.

58:42So here's the feedback I've given to

58:45developers over the last year about R-Stata

58:47.

58:48When we were speaking about lenses and the

58:51idea and the concept behind lenses, my

58:53thing

58:54was I'd use it, but not how you want me to.

58:57I'd basically create the common questions

59:00that I know someone who's walking past a

59:03big screen might want to ask, and then I'd

59:06have it on a big touchscreen and they can

59:09press the button to see the result and move

59:10on with their life.

59:11Exactly.

59:12Which isn't necessarily what Tableau

59:15possibly were thinking when they created

59:17the idea of

59:18lenses.

59:18Right.

59:19However, it's a thing that will build and

59:21bring insight to the users within our

59:24community

59:25at least.

59:25Exactly.

59:26Exactly.

59:26It's interesting, isn't it?

59:28It's very, very interesting.

59:32I think there is also a lot around...

59:34There's R-Stata, but there's data literacy.

59:37Like, people can't ask good questions about

59:40data.

59:40Data orientation.

59:42Orientation.

59:43I think literacy as well.

59:44Do you understand the data?

59:47That's orientation.

59:48Work your way around the data.

59:50And then are you converse enough to ask

59:52good questions?

59:54Like, should you be doing an average on a

59:55certain metric?

59:56That requires data literacy.

59:58So there needs to be some sort of assistive

60:01capabilities to be able to allow people to

60:03ask better questions.

60:05And I think some of that we're sort of hint

60:06ing.

60:06I think Mark talked about Clippy for Table

60:08au, right?

60:08We need some of that to kind of nudge the

60:10user down the right path to ask better

60:12questions.

60:13Yeah.

60:14I think to Craig and Jonathan's point about

60:18lenses being a barrier, I kind of see the

60:25point and I agree to an extent.

60:28However, the thing I always remember is

60:31these features aren't for us.

60:33They're not built with people like us who

60:37are just going to pick up a workbook,

60:42connect

60:42to a data source, explore, do the Tableau

60:44shuffle, drag and drop pills until we start

60:47exploring the data.

60:48Because we're at depth, right?

60:49But for a generic user, it's a good

60:51starting point.

60:55And the problem was always when you're

60:57giving a blank search bar, you don't know

60:59what to

60:59do.

61:00And lenses mean that you don't have a blank

61:02search bar, but there's still a data cur

61:04ation

61:04process from an admin, as you say.

61:06Because Craig is right.

61:09If you go into ask data, because you want

61:11to see and say, "Hey, maybe we could use

61:13ask

61:13data for this."

61:14And it's like create a lens.

61:15You're not going to do it.

61:17I can appreciate that.

61:19You're not going to do it.

61:19It's also a bit tricky.

61:21It's a bit of a cumbersome step to have to

61:25do about something that's excited.

61:27So yeah, I'm 11 plus you.

61:30I just can't be bothered.

61:31Oh, man.

61:32I can't wait for Craig to his teenage years

61:35to start rebelling and listening to some

61:38Linkin

61:38Park.

61:38Put that in the background, but I'll get

61:42DMCA'd if I won't do that.

61:45Yeah, exactly.

61:46Good stuff.

61:49Our ask data processes doesn't even start

61:51up.

61:51None of the users use it.

61:54So that's an on-premise issue, isn't it?

61:56Right.

61:56Online doesn't have the same problem, right

62:00?

62:01Yeah.

62:01If you know, it's hardware supplementation,

62:04whether you're giving it enough WALL-E to

62:07do its thing, and it has to run in the

62:08background.

62:09So it's taking up an element of processes.

62:13I do wonder how many of Tableau's new

62:15features require, for example, the exchange

62:18.

62:19It would make sense if on-premise servers

62:21have some sort of way to hook into that.

62:24I can definitely imagine online having a

62:26natural way of hooking into the exchange.

62:28But yeah, on-premise sometimes can feel a

62:31bit weird in these discussions because you

62:34can easily see a path how Tableau Online is

62:36going to get these features.

62:37But on-premise, you go back to the same old

62:40question, resources, core-based licensing,

62:43which is very old type of licensing.

62:44We don't even see it anymore.

62:46No one talk about it.

62:47It doesn't exist.

62:48The fact I mentioned it means I'll probably

62:51get kicked off something.

62:53But yeah, yeah.

62:55Yeah, there on-prem.

62:57Yeah, cool.

62:57So if we could just do a whistle stop of

62:59what we can remember from the keynote.

63:00The other thing we saw was the action.

63:08We talked a bit about the actions, but we

63:11didn't dig into the interface.

63:15Yeah, the mechanics of it.

63:16And what I couldn't quite pick out because

63:18she started by saying, "You have lots of

63:20actions in Tableau."

63:21And then she started with Salesforce Flow.

63:23And then, yeah, then it went to Salesforce

63:25Flow.

63:25I was like, "Whoa, wait a second."

63:27And that feels to me like, again, another

63:29thing that lives in the browser, but it's

63:31triggered from the dashboard, right?

63:33Yeah.

63:33I'd be quite interested to see which type

63:36of user can create those actions.

63:38Explorer feels to me like kind of one of

63:42the best use cases for this.

63:45Because a developer wouldn't necessarily

63:48know the business flows to do this stuff,

63:51right?

63:51And they tend to be creators, right?

63:53Sure.

63:53However, a lot of business users are

63:56explorers or viewers typically, actually.

63:59And they are, I think, at the best place to

64:00actually say, "Okay, I'd like to be able

64:02to create this flow."

64:03And Mark called it macros, but you can

64:06think of these as personal macros, right?

64:08When I go into this dashboard, I look at

64:10this piece of data.

64:11I would like to trigger this activity

64:12elsewhere in the business.

64:14And an admin's job is to set up these hooks

64:17into different applications, but a user's

64:19job is to define the flow and how that data

64:22sort of drives their day-to-day tasks.

64:25It sounds like a power automate to me.

64:27That sounds like a response to that, if

64:28that makes sense.

64:29Yeah.

64:31If you sort of think of it that way.

64:32But interesting, interesting space.

64:35What else was there?

64:36So you had modeling and the data model,

64:40which we touched on there about the AI and

64:43...

64:43AI and BI, yeah, the tablet business

64:45science things you had.

64:46What was Katie talking about?

64:49Katie Mertens about the...

64:51Oh, of course, the...

64:53Actually, yeah, that was the actual model.

64:55Yeah, that was the actions and then the

64:58exchange.

64:59Yeah, actions and exchange.

65:01Oh, yeah, rolling with security, the entire

65:04data management piece.

65:05Virtual connections and RLS.

65:07I think we need to see the mechanics of

65:10that.

65:11Because I think this feels like part one,

65:17right?

65:17It feels like the first iteration.

65:18A similar thing to...

65:20Exactly.

65:21And what you really want is part three.

65:26Two releases time, what have they added on

65:29top of it?

65:30I think during the video I said this feels

65:32like AWS security policies.

65:34I'd love it to mature into something like

65:35that.

65:36So you could have a data set, put a bunch

65:38of security policies on it,

65:40and based on groups, stuff just gets

65:43handled, right?

65:44Yeah.

65:45I'd selfishly just love if desktop was

65:49upgraded.

65:50A lot of these add-ons are...

65:53Tune in on Wednesday, tune in on Thursday,

65:56I think.

65:57I think so, yeah.

65:58That's when I think a lot of juicy stuff

66:00that's dropped.

66:01I think the keynote is, like I said,

66:03extending the boundaries of the platform.

66:04Thursday is going to be the detail, I think

66:07.

66:07That's where we get hopefully an hour of

66:10just...

66:10We're going to have to have a notepad ready

66:13to go.

66:13But it was interesting.

66:16It's interesting to see where the vision's

66:17going.

66:18We didn't hear too much about Salesforce.

66:19Interesting.

66:20We had it mentioned a few times, but I didn

66:22't hear the term Salesforce 360.

66:24Did I miss it at the beginning or...

66:26Or Ohana.

66:28I didn't hear any Ohana.

66:30I saw Einstein pop up a couple of times.

66:33Yeah, but it wasn't like invert like it was

66:35at Dreamforce, which is interesting.

66:37That's good.

66:38Yeah, no, absolutely.

66:40Alex, I'm with you on formatting.

66:41I think some facts about formatting.

66:44For me, it feels like Tableau's in a

66:46transition,

66:47moving a lot of its technologies to the

66:49browser.

66:49And I think in order to bring about some of

66:52the formatting changes,

66:53they have to basically rip apart some of

66:56the underpinnings

66:58of how they built the product years ago.

66:59And in order to do that, it doesn't make

67:03sense

67:04addressing parts of the Tableau interface

67:07today.

67:07So if you go look at, for example, filters,

67:09in the last two releases,

67:11the filter menus and the action menus have

67:13actually changed

67:14to match the web versions of the interface.

67:17So they're actually changing parts of

67:18desktop to look like the web features.

67:20And I think that's what's actually going on

67:22generally.

67:23We'll get a bunch more formatting and

67:25design capabilities

67:26once those technologies, those systems have

67:29transitioned to the web way of working,

67:33which then means they're available

67:35everywhere.

67:36I think Katie talked a bit about putting

67:37the Tableau

67:38authoring interface into some other parts

67:40of an application or something like that.

67:43So I think that's going to be, I think that

67:45's what's holding this up.

67:47I think that embedding it in different

67:53applications is really cool.

67:55I think for our use cases, I think, oh, I'm

67:59definitely thinking about

68:00how can you reskin Tableau server to not

68:02look at Tableau server

68:03and still have all the features that you

68:05want, which includes web authoring for me.

68:07And yeah, that's a massive, massive

68:11undertaking.

68:13But these little features, these little n

68:16uggets to like deplatform it,

68:17they almost deconstruct the cool bits and

68:22keep the juicy stuff like visQL still

68:25running.

68:26That makes it really cool.

68:27Now the other additional side of things

68:30there is this then makes me think,

68:33if these parts are now isolated, does that

68:36mean the upgrade experience

68:38when you're moving on-prem becomes

68:40containerized, like you're only doing

68:42processes at a time,

68:43which then significantly reduces the

68:45downtime required for Tableau server

68:47upgrade?

68:48I did it in an hour and a half over the

68:51winter last year.

68:54We'll probably do an upgrade this at some

68:56point in the next couple of months as well.

68:57Just after Christmas day, yeah.

69:00Yeah, exactly.

69:02Boxing day.

69:03Well, the problem is this football match is

69:04on Boxing Day too.

69:05There is, so you can't.

69:06I forgot about that.

69:08So no, ours are best on the international

69:12break,

69:13but then even then that's when we recap.

69:14It's a weekend, isn't it?

69:16Always football, mate.

69:17Always football.

69:18It's always football, especially in your

69:19situation where you work for a group, right

69:21?

69:21So it's always a football match.

69:24How much will all the features cost if you

69:26purchase the lot?

69:27That's a really good question.

69:28This comes up again and again and again,

69:30and I think it's not a straightforward

69:32answer anymore.

69:34You could answer it the simple way, which

69:37is to tell me how many viewers, explorers,

69:39creators you want, and then we come up with

69:41a price, and then we tell you that you need

69:42all these additional add-ons, and we price

69:45that up.

69:45But I think the cost of Tableau is now sort

69:50of expanding beyond the Tableau platform,

69:52so potentially a lot of the features, if

69:55you really want to take advantage of them,

69:56the modeling features in particular, they

69:59work mostly with Salesforce data sources.

70:01So I think to me it's getting a little bit

70:03gray.

70:03I think someone mentioned in the chat

70:05earlier having a matrix of, hey, if you

70:07want to start

70:07with Tableau, you're an organization of 10

70:09people, and this is roughly the mix.

70:11Having sort of a really clear matrix that

70:14shows you how the pricing works for you

70:16would

70:16be really good.

70:16But as ever, I think when any company

70:19expands its platform really, really quickly

70:21, which

70:22is what Tableau is doing, every time you

70:24add a new SKU, it just gets really, really

70:27complex.

70:28So yeah.

70:29Yeah, exactly that.

70:32I think, yeah, a Tableau Salesforce will

70:36tell you, but what do you need?

70:38But you need everything apparently.

70:42That's sort of the irony.

70:43In the keynote, we actually had Francois

70:46say, hey, you really need the data

70:49management

70:49capabilities.

70:50You must have them.

70:51So the response to that is why don't you

70:53just include it in the price and bump up

70:54the price

70:55a bit?

70:55Right.

70:55Why is it separate?

70:56So that's always interesting.

70:58And I think we haven't seen that evolve

71:00into its final form, right, which is why

71:03they've

71:03separated out the price.

71:05There's a good point here about this

71:08keynote versus Devs On Stage here.

71:12Right.

71:12And I think it is actually a very awkward

71:15dynamic because normally Devs On Stage is

71:17the next day, but we're finishing with the

71:20features.

71:21And I think it would have been even better

71:23to have the keynote immediately after Devs

71:26On Stage than Iron Viz tomorrow, because

71:28then people like us are excited about the

71:31stuff

71:32we want to use every day.

71:33But here you're kind of leaving us hanging

71:35for a few days.

71:35But the sessions hopefully will cover a lot

71:37of that, right?

71:37So hopefully there's some sessions that are

71:39going to hint what's on Devs On Stage as

71:41well, which would be really good to say.

71:43Yeah.

71:45Yeah, the ordering is weird this time

71:47around.

71:47I'm not sure I like it.

71:50I agree.

71:51I agree.

71:51I agree.

71:52It's not that Iron Viz is tomorrow.

71:54It's just that Devs On Stage is so far away

71:56.

71:56Yeah.

71:58And it's almost like you're going through

72:00the conference thinking like, oh, man, you

72:03're

72:04not hyped and thinking, oh, well, when this

72:07comes down the line, this entire thing is

72:10robust.

72:11So yeah.

72:13But yes.

72:14Yeah.

72:14I think what Jonathan says is also true.

72:17We are a minority, right?

72:18Devs On Stage doesn't get a full audience.

72:21Keynote does, right?

72:23And Keynote is also technically goes out to

72:25a much wider audience, press, media.

72:27So that is broader.

72:28Yeah.

72:29That is also the sort of showcase piece.

72:30When people say what Tableau is doing this

72:33year, that's what you send people to the

72:35keynote, right?

72:36So it makes sense.

72:37It's good to see here Sean saying that as

72:40Devs, we want more features.

72:42We always do, of course.

72:43But the market is driving towards integ

72:44rations.

72:45It's a very good point.

72:46People want to bring things together.

72:48We had this sort of explosion of tools and

72:49capabilities and people realized that no

72:52one

72:53tool could do anything but everything for

72:55them.

72:55So now in order to compete, I wouldn't say

73:00Google has a strong integration sort of

73:03piece

73:03here.

73:03I think I always tend to see Tableau being

73:06used with Google.

73:07Especially with the Looker integration.

73:10Exactly.

73:10Like this entire thing they announced a

73:12couple of weeks ago where they're bringing

73:14more

73:15Looker features into the flow of Tableau is

73:17really interesting.

73:18But Microsoft definitely does integrate

73:20really well within the Microsoft ecosystem.

73:22So that is a genuine thing.

73:25And what I'm always sort of trying to pick

73:29apart is integrating into Salesforce as

73:33valuable

73:33as integrating into Microsoft.

73:35Right.

73:35And that to me is the real sort of

73:37challenge.

73:38That will really show between Power BI and

73:41Tableau at least where the bigger value is

73:44in terms of integration, if that makes

73:47sense.

73:47Yeah, gotcha.

73:49Cool.

73:52I think we're pretty much there.

73:53I don't know what happened at the start of

73:55the stream.

73:56I'm really disappointed we didn't kick that

73:58off.

73:58We kind of burnt that 25 minutes at the

74:01start.

74:01But eventually it all happened.

74:03What I did at my end, I switched off every

74:05device other than my laptop.

74:07I figured something must be downloading an

74:12update whilst we're streaming.

74:13But hey, so tomorrow we'll hopefully kick

74:17back in.

74:18Tomorrow will be great fun.

74:20I think it'll be a lot of if you're still

74:23online, what we're planning to do is just

74:25talking over Ironviz and talking through

74:27the commentary.

74:29Because I think what was interesting last

74:31year was there was a lot of dead time.

74:34We were just watching.

74:36I think this is when we were texting each

74:37other, being like, man, we should have

74:38streamed.

74:39There's so much you can talk about that's

74:41happening.

74:42Yeah, exactly.

74:44So we're looking forward to that.

74:45I think it'll be good fun to go through

74:47that and see how that's working.

74:49We're both judges this year as well.

74:51This can almost be like a live version.

74:55We've seen most of these vizzes get to

74:57where they are today.

74:59So we have a bit of inside intro.

75:01But we don't know what they're visiting

75:03tomorrow.

75:04And that will be fun.

75:04No.

75:05No, exactly that.

75:07And I'm looking forward to the anonymous

75:10amount of cheese that Kesha and Andy pop up

75:13.

75:13There's always a pun or seven in there,

75:15right?

75:16Exactly.

75:16I think it's pre-recorded again.

75:19Right.

75:20I'm assuming it is pre-recorded.

75:22Because otherwise you're going to get

75:24issues like we just had.

75:25Exactly.

75:26Exactly.

75:26Right.

75:28People are starting to say goodbye now.

75:29I think the lag has caught up with them.

75:31So we're going to end it here.

75:32Thank you for being patient with us.

75:34And hopefully we'll see you tomorrow.

75:36Be sure to check in.

75:37And yeah, catch you later.

75:39Take care, everyone.

75:42Bye.

75:44[ Silence ]