Analyzing Tableau's Keynote: Insights and Reactions from Ravi & Tim

0:00So Ravi, Keenak, just happened?

0:02What do you think?

0:04Yeah.

0:08tableau for the last year closely.

0:10Like you have to be dialed in, following, questioning, pushing.

0:15Nothing was really that new.

0:16Right.

0:16But then a keynote, right?

0:17It's a business update primarily.

0:19So we're seeing businesses going up

0:21One one one, all of those great things that sales wells and tableau do together.

0:24Um and then you go into what are we what are we listening to?

0:28Then you get the listening session like the commutes, which we'll come on to of course.

0:30Yeah.

0:31You then have the products.

0:33I think it was

0:35quite clear.

0:37Which is new.

0:38Yeah.

0:39It was it was very clear, succinct.

0:41Uh and we I le I learned a new word, interoperability.

0:45Interoperability.

0:46There we go.

0:47Which was used

0:48I don't think anyone stumbled over that word.

0:50Like the slides were stumbled across.

0:51Like we've got we got some uh live demos and some live live slide um jumps, but

0:57Yeah, right.

0:58It was good.

0:58What about you?

0:59How did you feel?

1:00I this is your first conference in six years.

1:02In six years, yes.

1:03I've been here every year

1:05It's good.

1:05The atmosphere I love to see lots of people here.

1:08I love to see all the energy.

1:09Um I'm a bit biased because of course, you know, coming here does fill you with energy and excitement.

1:15So it's hard to say that some of that hasn't rubbed off on me, absolutely.

1:19But

1:19Um it was still good to see uh the keynote, see them sort of pushing out the key messaging, responding to some of the concerns over the last let's say six months, right?

1:29Um that that was very clear.

1:31Um but

1:32Shall we shall we just step back, give people an overview of the whole keynote, and then we can dive into this very quick two minutes um classic Salesforce keynote

1:41Opens up, uh a big thank you to everyone for being there, big thank you to the community, recognition for the Tableau ambassadors, visionary

1:49Yeah.

1:49Um then we go to the classic doing well and doing good slides, forty billion ARR.

1:54Um that's just a classic.

2:00user groups, all the all those things.

2:02Exactly.

2:02You had the video at the start which was like data doesn't reveal the world, it helps you change it.

2:07Yeah.

2:07Like really making people change makers.

2:09I think again if we think about framing mission statements and like CEO buzzwords, you got a lot of AI, you got a lot of A of course you're gonna get that.

2:17If you're not expecting that wherever you've been the last year and a half, right?

2:21Exactly.

2:21But this is the world as we live in today

2:23Um but I think it was this is the data analytics and AI event of the year.

2:27Yeah.

2:27Right.

2:27It's the only one I think.

2:29Because we're now trying to take data, analytics, which is a function of data, and AI and be like, right, we're gonna shop these together.

2:37And I think that is quite a big obvious play to fill that space, like this agentic whatever being, the only tool that fills that space.

2:45There's a lot of analytics tools.

2:47don't quite have that messaging ready, so it's an easy spot for them to fill.

2:50So here's a question, what's Tableau's mission?

2:53It's a great question.

2:54Um it used to be to see and help you understand data.

2:58That that's what it used to be

3:00It recently changed to a variant of that.

3:01I don't know the I can't remember exactly what it was.

3:03So it used to be helping people see and understand data.

3:06Yeah.

3:06Right?

3:07Where four of the years you then had like see and understand as the highlight.

3:10Yeah.

3:10Then it was people as the highlight.

3:11Yeah.

3:12And then it became see and understand and act.

3:14Yeah, act on data, action.

3:16Today we had see and understand data once.

3:19True.

3:19Right.

3:20You had that mission repeated to the again, if you're thinking about the press course, shareholders, all of this.

3:26This is the big tableau event

3:28It was mentioned once and that again comes back to this is a Salesforce event as a satellite company.

3:34Which is okay.

3:35And I'm I'm I've always been the person to be like

3:37that's completely fine because if you're someone's paying the bills they can have whatever they want, right?

3:42Like it doesn't lose anything of the product.

3:44Yeah.

3:45I think it's quite interesting on messaging that that we're getting there.

3:48Yeah, yeah.

3:49So

3:50Then we went on to the classic three-part uh presentation where we have uh obviously the the vision for the future tableau next, then we had uh an ode to the community, data fam, then we had uh an ode to the core community.

4:04So um this

4:05There was a little bit of product sort of sprinkled into that from Southard, so there's a good handoff between Southern and Raker, but it was predominantly the three three three key execs.

4:13And and my sort of um

4:15Rambles and marketing ended up on the slide.

4:20It was people uh data uh data rich and insightful.

4:24But double whammy

4:26We have that on one side in the rainy side and we have the gap and then the sun on the right hand side.

4:32It's a ravi special.

4:33It's it's it's a ravi special.

4:35So that was When that came up you were like, That's mine, that's mine.

4:39Yeah, there you go.

4:40Well you should have run a book ravi, so

4:42Um should have written a blog.

4:44Should have written a blog.

4:45Claim it before they use it.

4:46Knowledge curation and and insights uh insights poor, yeah.

4:50But actually it hits

4:52Hit on the audience of this keynote.

4:54And I think this is a sort of recurring thing.

4:56Like who are these keynots for?

4:58They are no longer really for what they used to be sort of the core community.

5:01They are very chorilla analysts.

5:07anymore.

5:07I want to use a tool that helps me see and understand data.

5:10Let me get hands on it into the nitty-gritty.

5:13That isn't your core user anymore, is it?

5:15Yeah.

5:16And it sh won't be.

5:19I think it's evolving.

5:20I don't think we we've arrived at the destination.

5:22It's very clear they're trying to bring in the broader business user, right?

5:26that that they're building a product that is meant for the broader business user first.

5:31The box demo that they talked about.

5:33That's good.

5:33That was actually really good demo.

5:35That's really good.

5:35Again from the box user and they were talking about value they've realized

5:39And I think it goes without well something we haven't talked a lot about is Tableau Pulse was actually a really good product market fit.

5:46Because when it came out, to be honest, I wasn't sure because I was thinking about it from a Tableau context

5:50But all on reflection, seeing the way people use Tableau Pass now and the kind of people who are talking about it, it was never a product for me.

5:57It was a product for the execs, it was a product for the CFOs, the CIOs, to get what they need very quickly and have us analysts enable those people.

6:05Yeah, self-serve.

6:06And actually it's hit it's hit the mock really well.

6:08And of the whole Tableau Next piece, it's incredible that Tableau Post is not in the Tableau Next stack.

6:15Obviously, but it is.

6:16It is, but it's called something else.

6:17It's called metrics.

6:18Which is which is a classic

6:20It is a classic sales forcism to do something really well then immediately changes the brand name to something else.

6:25But there is no in that vision you don't see pulse anywhere.

6:29Right?

6:32There's no metrics layer.

6:33There's no metrics.

6:34Nothing.

6:35Which is very bizarre.

6:38All the visual.

6:39But but even so we have a very strong demo, strong example, Tableau Plus.

6:44You've branded it really, really well.

6:45And in your vision for the future, it's nowhere to be seen on that same slide, right?

6:49But but do you think that's because of like

6:52the loud voices being negative.

6:54Because this y you get a lot of negativity from loud voices about things like pulse like how am I gonna use this?

7:00It doesn't solve my problem.

7:01But it's the it's the thing that has the most demonstrable example of them doing the right thing, right?

7:06Like

7:06As much as we might not use it as as core analysts or as as as data analysts or viz viz enthusiasts, as I might specifically put it.

7:15It doesn't matter.

7:15We weren't ne we were never the the primary customer.

7:18We were we were we were there to build it and help serve people but the person who uses Tableau Pulse and gets the most out of it was never gonna be us.

7:25So And I think this is actually uh the theme, right?

7:29A lot of what you see here today and what was talked about product wise, some of it isn't for us.

7:35And that's okay.

7:36I think this is the

7:37This is the thing we have to understand.

7:39There were a lot of people in that room today and a lot of first-time Tableau users in that room as well.

7:43Or first-time Tableau conference goers.

7:45Yeah

7:46For them a lot of this is like this will help me.

7:48This will that'll that'll change what my workflow.

7:50That is actually a problem I have.

7:52Yeah.

7:52But if you're then still looking for rounded corners and sub L check and

7:57Whatever else.

8:07Some of that transparency has meant the splash is smaller.

8:10Yeah, it has.

8:11Right.

8:12Like you know what Tableau are doing because they will openly they're they're building in public.

8:16Like not Tableau public.

8:17I should be really careful with words.

8:19They're building out loud in public so you can see what they're doing.

8:22This is where we're going.

8:22This is the direction of travel.

8:24Like just as a really clear.

8:25And they've also simplified the message.

8:28So much that people are like, but that's really easy.

8:32Yeah.

8:33Why is it so easy?

8:34Where's the advanced stuff?

8:35There's almost a bit of doubt and skepticism at how easy it is

8:38Which is exactly which it and this video is not that clean.

8:41Yeah, exactly.

8:42There's always a there's always a but something and but something.

8:46And and I get that.

8:47We all we all know what like the hustle is when we're doing working on data.

8:51It's never as straightforward as how it's set out.

8:53But I think the workflow should be that simple

8:56The workflows they show should be that straightforward.

8:59And actually, just because we use the product well enough, we know what the workflow is and we work, we forget that workflow is really hard to pick up and understand.

9:08Exactly.

9:09And so that's actually a really well well thought through part of this ecosystem is that they do understand their workflow.

9:15They're trying to solve

9:17for the workflow first and then molding the products around that workflow, which is why the disparate products sometimes feel disconnected because in isolation

9:26They don't make sense, but if you envision them in the workflow, they do make sense.

9:30And this is where Tableau Next as a brand, it's it's essentially a container.

9:35of multiple sort of smaller products.

9:38I borrow that from Kirk Monroe.

9:40He'll be watching this going, yeah, that's that's my phrase.

9:42That's my phrase.

9:42And then I was like, cheers Kirk.

9:45But no, that that is very much sort of the intention.

9:49Let's let's then let's touch on some big picture stuff.

9:52So there was some core sort of messaging.

9:54Yeah.

9:55The first one was this very clear theme around transformation versus replacement, right?

9:59Yes.

9:59So there were pain to say exactly.

10:02There was pain to say look

10:03We're not coming for your jobs.

10:04We're not trying to build a platform that means that your job will disappear.

10:07What we want to do is enable you to do more.

10:09Very, very um key key thing.

10:12I believe.

10:12Yeah, I think I think it's the analyst of the future that's coming where

10:16Like if you think of an analyst fifteen years ago, the job was very different.

10:22And like the amount of people who will resonate with that

10:27thing they talked about multiple times doing the kidnap of someone dropping a quick message to someone saying can you just get me?

10:34Can you just grab me?

10:35Can you just do this?

10:35Yeah

10:36I'm still doing this to to the people in my team and and I'll be still getting this from the practitioners I work with.

10:42Can you can you not just, is it not as easy as

10:44And you get your legs taken up so quick.

10:47But if they're if you're able to educate the flow and give them the ability to self-serve

10:53with a bit of confidence which is what Canvas an energetic experience can give you.

10:58Yeah.

10:58Because you can create guardrails and framing and all of this stuff as the knowledge curator.

11:02That's where that you go from the person in the middle who's like

11:07Doctor Strange doing all these different things at the same time versus the person that just can solve their own problems.

11:13Exactly.

11:13In a world where you don't need superheroes, you just need

11:17an efficient system and good government.

11:20Yeah, yeah, yeah.

11:20And I think the other thing is that um there was a phrase that came out the keynote, precision architect

11:27I've been really adamant about this role of a curator in the analytics workflow versus the creator, explorer, viewer analogy.

11:36Like there are people's

11:38People's roles are gonna have to change to be kind of the shepherds of data sources, semantic models, the way those comes together, that will need curation.

11:47It's very much

11:48uh true to that concept.

11:50I I hate it 'cause it comes from Oltrex.

11:52Uh and and and and Best and Peace.

11:54Yeah.

11:55Um but they actually nailed it when they thought about that concept of what a curator is on their cloud platform.

12:00Well not a cloud platform.

12:01That's kind of been the problem.

12:02But anyway.

12:03That's that concept I think is really true in this ecosystem.

12:07I wish they'd just lean in on that a little bit more, spend a little bit of time just

12:12Yeah, yeah.

12:13Explaining that explor maybe maybe they've got a dump stage.

12:15And and and I think they have to have to find a way to do that in the product as well.

12:20Yeah.

12:20Give creators today a really clear path

12:24on how they can become curators in Tableau Next.

12:28Yeah.

12:28But that has to start, I think, from starting from Tableau Desktop.

12:31There was a there was a key thing I want to stress, the keynote, being in the room compared to watching it online.

12:37You completely don't get this.

12:39The room went flat as soon as the Tableau Next demos started and it's not because the Tableau Next demos weren't great

12:47It was just because it doesn't resonate with a decent part of the audience that's here at this conference to go.

12:52These are the people that are leaning in, right?

12:54Correct.

12:55These are people that lean in and want to get better at using the tablet ecosystem

12:59Which is again comes back to it's not for a majority of users.

13:03Correct.

13:04But yet it was the leading part of the keynote.

13:07So that the it's it's a very s hard balance of sales for task to strike.

13:10Because they have to talk about next.

13:12Yeah.

13:13But

13:13You know that I'm gonna just you know randomly take a number, sixty to seventy percent of the audience is here at conference to do

13:21The desktop certification to do hands-on with desktop to go and see Ken and Chem in desktop showing them tricks.

13:28to go and see the visionaries doing stuff in Tableau Core.

13:31Going to a Tableau Doc a doctor session.

13:33And the only thing you can do with next is potentially go to a lab or go to a very curated experience.

13:39And so because of that sort of contrast

13:42you have this very weird place where the the room was flat.

13:44I put a photo in it.

13:45I looked around and I just took a photo on my glasses because I was like, everyone's just on their phones at this moment.

13:50And that's a shame because there's real good value there.

13:52But maybe there is a world where there's a separate talk

13:55For execs and CFOs and CIOs.

13:57So look, this is where we think your analytics teams are gonna head to in the future.

14:01We're not quite there yet.

14:02And then another keynote, which is I guess devs on stage.

14:05Which goes to the core and so.

14:07It's the exact track versus the dev track.

14:09Yeah.

14:11So I think agents are truly wheel greasers.

14:14The things that agents will make your life better by is

14:18Like getting rid of those quick questions, making the like business users auto-complete, like nudges, you're able to conversation.

14:25What's like imagine saying

14:27What was that calc I did the other day?

14:29Oh yeah, it's this one, right?

14:31Like it's creating all the things you don't want to do quickly.

14:34Like imagine when they built that dashboard, the first thing I thought was

14:37Now imagine if I'm able to use one of Tristan's tools to build a dashboard, like perfect theme template.

14:45And as they're building there step by step, using the canvas, using the edge agent

14:49It's just in our brand.

14:51Yeah.

14:51I don't need to do any formatting.

14:53I don't need to design it.

14:55It just works.

14:56And we can then go back and educate them to say

14:59The prompts you used were fine, but did you not know about this, this and this?

15:03And it gives me like this really good framework for data fluency and data literacy.

15:07So like if you once you start thinking of it and be like, what could I do?

15:10How could this help people?

15:11He gets great.

15:12I agree.

15:13And there was also a thing that I I realized for the first time, and I think we talked about this before the conference

15:22which is this concept of multiverse, right?

15:26And we use the analogy of the Marvel cinematic universe.

15:31And during the keynote you you pulled up the diagram and I'll put it on I'll put it on screen uh to to just

15:37drum this point say let me just quickly summarize this concept.

15:39Basically what we said in Starbucks before we got here was that there is this multiverse of different products.

15:45And it's very much like the Marvel Cinematic Universe, where none of it starts like it's part of the same story.

15:51You could be you could be watching a whole season of one show and not realize

15:55that it eventually is going to tie into the main storyline uh three five years down the line.

16:01But when it comes together, there is this huge aha moment

16:05But along that journey, along the way, there are just so many um moments.

16:09So you remember watching the Avengers Infinity War Part One.

16:12That ends on such a somber note.

16:14I feel like that's where the community is right now.

16:17Like this the big thing of change

16:19Not really realizing the opportunity that's at hand and not seeing a path forward.

16:23We're really at the end of infinity one.

16:25Yeah.

16:25Right.

16:27And I think it's like

16:28In order to watch Avengers Infinity War, as a standalone film, you probably get it, but there's loads of little bits being like that I get one.

16:36Like how's that happened?

16:37Unless you're a super fan.

16:38Exactly.

16:38And then now if you look at from there how Marvel's branched, you then get

16:43X-Men 92 or whatever it is.

16:44Um you got uh Luke Cage and there's an entire like day devil Luke Cage universe, it's like a bunch of shows.

16:50You've got like the Miss Marvel triple threat, like

16:54All of these things are just happening.

16:56And if you're not taking a step back and be like, that's over here, that's over here, how does this all nick together?

17:01And then you go watch Doctor's Strange and you're like

17:04What's he doing?

17:05Yeah.

17:05Like why is why's Thor fat all of a sudden?

17:07If you miss two movies, you're just like he's got no eye and he's fat.

17:11Yeah.

17:11Why?

17:12Exactly.

17:12Right?

17:13Like it doesn't make sense.

17:15Um and I think it's really important interesting because

17:18There is areas of like, I think you said, um, all of these product the interoperability of Interoperability.

17:26Tableau Tableau Cloud, Tableau Desktop, Tableau Server, Tableau Prep, and then Tableau Next.

17:33At no point when you when you're thinking about that do you think how do you link together?

17:37Correct.

17:38They shouldn't, but they will and they can

17:42But they may just live alone.

17:43Like cloud and server users are never gonna be bad paritying.

17:46Correct.

17:46Right?

17:46Desktop and if you're just an explorer on Cloud or Club, they're never gonna have full cloud parity.

17:52But here's the thing.

17:53And Tableau Next is gonna be in the middle with the canvas.

17:56Trying to knit it together, but it needs a lot of work from the analysts and the curators.

18:02Exactly.

18:04The point I was trying to make earlier on was that it's it's very hard if you are if you're like a super fan of Marvel and you're trying to picture where this story is gonna go, it's very hard for you to even find a plot line that sees this thing as come together.

18:16It should be that way.

18:18You know, for i for example if I'm on Tableau Cloud, I should be able to try Tableau Next at next to no friction.

18:25Yeah.

18:25And if I don't like it, I can fall back to Tableau Core as it were.

18:30And this happens a lot of products when there's a knee version, right?

18:32There's always a a full safe to go back to the thing, but the knee thing is just the skin.

18:37The problem with this ecosystem is the knee thing is not just the skin.

18:40It's a fundamental philosophy.

18:42Fundamental philosophy, which means you can't share many assets.

18:46You can't build many workflows off the same thing.

18:48So here's something that got everyone mere catting, right?

18:50When you go everyone like going, hold on.

18:53This is interesting, which is Tableau server with AI.

18:55Yeah.

18:55Which has been out in 25.

18:571.

18:57Yeah.

18:57Uh and it's ready to go.

18:58You can use it today, right?

19:00But the really the first time I've seen it be explained of how it works now

19:05Very clear.

19:05You take a big step back and you did that video about names and stuff, right?

19:09The Tableau VQL data service API becomes a big player.

19:14Yes.

19:14To make this work.

19:15Yes.

19:15Right?

19:16So you're suddenly seeing

19:17All the things come in together to give you the thing you're actually looking for.

19:21And and it has to be rebuilt.

19:23It has to start from scratch.

19:25Like like

19:26Viz extensions, you have to start from scratch because you have to basically circumvent VizQL to create this.

19:32And it's not possible without the Viz data service there.

19:34VizQL dates VizQL

19:37Data service is the single most important feature of the last two years that no one is talking about other than Anya and a few people who know how to build on it, all right

19:48It's enabled Tableau Pulse.

19:50It's enabling AI in the um in in in the current ecosystem.

19:55Tableau Next is very clearly using it to call on data sources in Tableau Cloud via Data Cloud

20:02Um I d I don't know the exact technical details of that but I'm almost certain that is what's enabled it.

20:06And the reason I know that is cause when you're using these more mod modern new tools

20:09They just they just work differently, they respond faster.

20:12If you look at VisQL data services, no way that's a a hyper file being loaded up in the background.

20:18It's too slow for that.

20:19It's too slow.

20:19So And Hyper was cutting it.

20:21Yeah.

20:21They were pressing the button and you were seeing it loaded live, right?

20:24And they're clearly caching and doing a bunch of other small things.

20:27But needless to say, that came up.

20:29And I think the interesting about that announcement, I'll put the slide up uh on this edit

20:33is that they showed a a way of that working, which is exactly like the Einstein Trust layer, but modeled using your own AI platform, modeled it using your own thing.

20:42So hard.

20:45I think they made a joke about it on stage, right?

20:47Used to be a different name.

20:48Yeah, absolutely.

20:49But Data Pro, like that that's just Einstein and yeah, bust it.

20:53Um I think two more things I want to raise.

20:55Yeah.

20:55We've got another era.

20:56This is the era of change.

20:57Yeah.

20:59I think it has been for the last two years, but they've just figured out what to call it.

21:02They called it the fourth wave two years ago, right?

21:04Yeah.

21:05That that was a crap name

21:06This is a much better sort of approach.

21:13It's a mature keynote.

21:16Yeah.

21:17And I think the other thing is with agents, LLMs, natural language processing, giving the ability for anyone to ask and answer business questions as long as your data is governed well architected, etc.

21:30It's actually democ truly democratizing data.

21:34Yeah.

21:34Right.

21:35And this is the stuff that it's not sexy, it's not glamorous, it's not spell check, but it will it is the right direction.

21:42And like

21:42That they kept mentioning tableau's not going away.

21:44I believe them.

21:45Like Tableau Core, or as they're calling it, won't go away.

21:48Yeah.

21:48Right?

21:49Yeah.

21:49But it will just be a different experience and that's okay.

21:52It's uh Captain America's old now, right?

21:55Like you've now got the the Captain America Falcon.

21:59I think they have a different problem though because um

22:03Tableau core could end up being their robot Danny Jr.

22:05where they just bring him back is they have to keep bringing it back to keep to get people engaged, right?

22:13Because that's s suddenly is v what V Victor Von does that Yeah, exactly, yeah.

22:18There's a whole different like world of um of context there.

22:21So yeah the the it's it's super interesting.

22:23Um what what was interesting about the keynote as well, it wasn't that different to last year.

22:27I think almost

22:28I could probably show you the parallel slides from year to year almost just as a sort of continuous stream.

22:33That was very obvious.

22:35And it ended on the usual note.

22:36Um and that was fine I I guess.

22:40The difference this year is we do have devs on the stage separate so we're gonna get that big sort of uh endorphine hit.

22:46We have the keyboard to start with day two big hit product track yeah

22:52And then we've got obviously all the exciting stuff happening tomorrow.

22:55Today's the like discovery day, tomorrow is the excitement phase, and then Thursdays we all come together to reflect, right?

23:01That's sort of the structure of the key uh the the

23:06Yeah.

23:07It was really very clear, polished and cohesive.

23:10Yeah.

23:10It touched on hit all the right beats

23:13But that's not sexy, that's not fun, that's not exciting, right?

23:16Yeah.

23:17Um yeah.

23:19So I think they were never gonna make everyone happy either.

23:21So that th they they they got the messages they needed to get across

23:24Tableau's not going anywhere.

23:26The core's not going anywhere.

23:28We're investing in in what you love.

23:29We've listened to what you said.

23:31Here are some

23:32clear examples to show you of that energy and investment.

23:36Here's AI and server, here's all this other stuff.

23:38And I think it's really good.

23:39It's really good

23:40And yeah.

23:41When they went back in time to 2003, showed Tableau One.

23:45Yeah.

23:45And I I I I gave it the wolf whistle.

23:48For one second I thought

23:50Oh god, that's Christian Sherozin, he's like And then you just go bah bah ah bah like John Cena Just a big entrance.

23:59The time is up, the time's there.

24:01Oh man.

24:02That would have been epic.

24:03But that's like the sort of thing.

24:05But that's like a Hail Mary password.

24:06That's when you start playing celebrities in government because your government's dying so you're like give me a celebrity and yeah.

24:12Yeah yeah

24:13So um just looking at our notes here, let me just um go back.

24:19Um

24:21The final thing I think worth touching on was um the demos of the products

24:29were much more cohesive.

24:31We touched on the workflow point earlier on.

24:33But I think what was true this time round is I ha I got a genuine sense that we'd be seeing the real thing because it was

24:40There was a few more rough edges if you mean more when the trial ran out?

24:44Yeah, when the when the keyboard maestro trial ran out.

24:47Um I use keyboard maestro, very great tool.

24:50What they clearly did is they

24:52wipe the computer, put that demo on there, and there's a 14-day trial.

24:56They've been doing that and it decided to run out.

24:58It's real.

24:58Literally during the the chino

25:00Could have done that any time in the ne the last twenty four hours.

25:04But that means you know it's not a figure.

25:05Yeah.

25:05It's not a JPEG.

25:06Yeah, yeah, yeah.

25:07You still have to swipe around, get out of full screen.

25:09It was a genuine thing.

25:11It's a bill that we don't have access to though.

25:14I've you know transparency, I've tried tableau bits of Tableau Next, and it's not that far ahead.

25:20So they're clearly building in phases

25:22getting people to try very specific things, that makes sense.

25:26Um I do think it is now time for people to get their hands on it, whatever format it's in.

25:31You've got to get people in to try to do that.

25:33People need to dial in as well, right?

25:36I think I think people if you're interested in this next wave and you want to like say, well, does it work for me?

25:40Yeah

25:41Speak to sign it up for the beaters, speak to the guys and go from there.

25:45Yeah.

25:46And but I I don't think you can get people to dial in if there isn't something to say.

25:49You can't you can't be sure.

25:50You can't hold people like

25:52Hostage.

25:52It's yeah yeah.

25:54Yeah, you can't say dial in if there's nothing for people to to to chew in and critique and uh so it they very much have to

26:00So here it is, now it's your turn.

26:03And if you don't, that's a different discussion around engagement.

26:06And if they're struggling to get engagement, well that's a different product problem.

26:09But I don't think there's any problem with engagement.

26:11People do generally want to try and figure it out.

26:13Might not excite them, that's a different problem, but I don't think it's it's gonna excite everyone.

26:17Like a good product um as as they say will piss off

26:21uh eighty percent of the people who um you know um who who who might be into it and will really serve that twenty percent really well really kind of make them happy.

26:32I think last time we flipped that

26:34And we said they're trying to, you know, piss off the twenty percent to make the eighty percent better.

26:38Well, I'm I'm now sort of flipping back and think maybe Tableau Next is actually

26:42for a very specific type of person and they are that 20% and actually the 80% is constituent of execs, people like us.

26:51you know, enthusiasts and that that pie is actually almost 3030 30.

26:5530% really senior people never gonna touch the product.

26:5930% really artisan

27:01really focused on like the how to build beautiful visualizations, curating every single little pixel on that dashboard.

27:08And then you've got this final 30%.

27:09You can't be bothered with any of that

27:11Never want to just want to do their job.

27:13They just want to do their job.

27:14Reduce time to insight and get me to the answer group.

27:19But anyway, it's day one of conference

27:22Still there's so much more to learn.

27:23Devs on stage tomorrow.

27:24Devs on stage tomorrow.

27:25We'll obviously talk about that at some point.

27:27But yeah, been pretty good so far.

27:29Nice.

27:29Nice.

27:30All right.

27:31Catch you later.

27:33Good.

27:34Right, let's hope I press record.

27:39Oh I did, all good.