Tableau Einstein - The New Tableau Exeprience - S5 E5: Byte
Tableau Einstein is less a new product and more Salesforce finally stitching Tableau's scattered parts into one workflow - with a name that confuses everyone who isn't already drinking the Kool-Aid.
- Tableau Einstein centralises Tableau's products into a single experience, decomposing former desktop, prep, server and cloud features into reusable components across the platform
- Workspaces replace the old projects/folders model, letting teams assemble semantic models, prep flows, data sources and metrics like interchangeable building blocks
- The marketplace is being repositioned away from the restrictive Tableau Partner ecosystem to let individual community creators monetise their work more easily
- Tableau Plus looks set to be the paid tier required to unlock Tableau Einstein's AI features, reshaping how Salesforce sells and partners engage with customers
- No launch date was given - expect more detail at Dreamforce and a full GA announcement likely only by the next Tableau Conference
- Naming the fourth wave: Tableau Einstein2:01
- Why the Einstein branding falls flat4:15
- The unified platform diagram explained6:41
- Workflow without calling it a workflow10:39
- Rebranded motto and action-driven analytics12:13
- Confirming it was all shown before at TC13:43
- Marketplace: fixing the partner ecosystem problem16:18
- Workspaces replace projects and folders20:27
- Authoring experience stays familiar, just reorganised25:12
- Data modelling and metrics repackaged with AI suggestions27:07
- The Salesforce-ification of Tableau and Tableau Plus theory29:19
- Was this a real demo or a trailer for Dreamforce33:59
0:00Tableau Einstein is Salesforce's new vision for Tableau for the future.
0:04That's what they showed us in the showcase yesterday, but I have to be honest and say that
0:08A lot of what they showed us was actually available at Tableau Conference.
0:12During the most recent keynote, Salesforce did actually show us many of the same notes.
0:16But the difference this time was that they gave us the whole experience.
0:20They walked us through the typical workflows that you'd typically be familiar with today
0:24and they showed us how the whole platform is going to come together.
0:27On a high level, the best way to think of it is centralization of the platform under one experience.
0:34Products now become experiences and the features that live within those products are now decomposed throughout the whole entire platform.
0:42Essentially, they've been decoupled from their previous homes, and you can now experience them pretty much anywhere in the platform.
0:48And I think that's a really great move, but there's lots of other things to discuss, and so in the most recent video
0:53I spent some time with Ravi immediately after the showcase we recorded this yesterday and we talked about the experience.
1:00It's about 30 minutes
1:01As ever, let's get stuck in.
1:03Ravi, we've just seen the future of Tableau.
1:05I think we can now respond to our last podcast.
1:09With an opinion on that, right?
1:11Yeah, for sure.
1:12Um I think the the answer we I think there's a lot of answers we've got.
1:17Yep.
1:17But
1:18It's answers to questions that had already been asked and answers in a way, right?
1:24Yes, yeah, yeah.
1:25There's
1:26There's a lot to unpick.
1:27If you're listening to this and you're wondering, what the hell are they talking about?
1:31Tableau have literally just finished presenting their uh vision for the future.
1:38We have some hot takes.
1:40We have some opinions.
1:41Um, we have some views.
1:42Ready for some stuff.
1:43I think there's a lot of good things.
1:44I love a lot of good things.
1:46I actually agree with Adam what he said at the end of that session to say, hey, there's a lot of good things to work with here.
1:52But I think there's also a lot of context and there's a lot of it's gonna be a journey, let's just say.
1:58So yeah.
2:00As I like to say.
2:01Let's get stuck in.
2:05So what did we say?
2:06Where should we start?
2:07Yeah.
2:08We we talked about the um the fourth way of analytics last time, right?
2:11Like that was one of the core areas we we mentioned.
2:14And it's got a name now.
2:16I think so.
2:17Yeah, this is it.
2:17This is actually a really important thing.
2:19Like the fourth wave was clearly a placeholder whilst they were coming up with a product name.
2:23And the product name is Tableau Einstein.
2:27Ravi, I heard you love this name, right?
2:29Tableau Einstein on the built on a tablet Einstein one platform.
2:36I hate this name.
2:37I think the the name is recycled.
2:39I think if the the Einstein thing was existed within
2:46Within the platform, within Tableau, as a widget, as a genie, you had the Einstein genie.
2:52Then you had Einstein, which is Salesforce's thing that already existed.
2:58And it just feels like it's just been repackaged, repurposed.
3:01Like they put it to one side, all right, let's replace it with the genie, and then we're gonna call take this Tableau Einstein thing and put it over here.
3:09But it doesn't make sense.
3:10It doesn't make sense in the way that they framed it in my opinion.
3:13Um I think actually ironically, um after we we sort of came after Tableau Pul you've definitely come after Tableau Pulse.
3:20Uh sorry, Tableau Part.
3:22For a while.
3:22Yeah.
3:23A Tableau Plus actually would have been the perfect name for for this.
3:27Yeah.
3:28Right?
3:28Because for example, you could have had, you know, with the demos we saw in this in this webinar, you had
3:33Um Tableau and Slack integrations, Tableau with CRM integrations.
3:38You could have said, well, this is Tableau Plus, and this is what we're going to call it.
3:42And this is Tableau Plus Slack.
3:43And here's how it works.
3:45You can now type in a question, blah blah blah, and you get you can have a conversation.
3:48Great.
3:49What if you're a CRM user?
3:51Well, I want to know these answers to go to my questions.
3:53Well here's Tableau plus CRM.
3:56And when we then see the extended extensible Einstein One platform, you then have
4:01The different connectors, where your data is stored, and this idea of that you should act where you act normally.
4:08Um so you can have Tableau plus databricks, Tableau plus teams.
4:12But sadly, we have Tableau Einstein.
4:15You got a future in marketing, Ravi.
4:19No, a hundred percent.
4:21I always find this funny.
4:22And brands have the I think brands at the moment
4:25Um, really try and find ways to differentiate the new things they're doing within their products.
4:30Yeah.
4:31And I actually think a lot of brands could do a lot of good from taking a leaf out of Apple.
4:36Which is really just simplify it.
4:40Yeah.
4:40Let's take the biggest brand in the world.
4:42Maybe maybe you could learn a thing from Apple.
4:44Like Ravi, what is the iPhone called?
4:47The iPhone.
4:48The iPhone.
4:49Exactly.
4:51Your can can just be called Tableau.
4:55It is called Tableau.
4:57But it is called Tableau.
4:58It has different flavors.
4:58It's called Tableau, Server, Cloud, But Desktop.
5:02By adding something onto it, I think.
5:08But but isn't isn't that the power of this, the opportunity they had here, which is
5:14We'll come onto this later, but they clearly showed a unified experience.
5:18And wouldn't it have been a power move to say you've heard of desktop, you've heard of prep, you've heard of server, you've heard of cloud.
5:24Today it's just all called Tableau.
5:27End of.
5:28Right?
5:29And that communicates so much more about what they're actually doing with the platform than what we heard today, which is Tableau Einstein.
5:37And now I start to think, I know what Tableau is.
5:39But what's Einstein, right?
5:41I I know I know, I know, I know, Salesforce want to get this Einstein brand.
5:44They've paid a lot of money for it and all that jazz.
5:46They want to use it and all that jazz.
5:48But it's just a foreign brand to everyone who uses Tableau.
5:53Like I've never used the term Einstein in my video unless I'm referring to Salesforce.
5:58And it's just gonna confuse people.
6:02Yeah, it's it's already its own thing.
6:04Um I don't know
6:05I m may maybe we get too hung up on these things and frankly no one cares.
6:09Everyone's just gonna call it Tableau anyway, and so you'll call it Tableau and some people call it a whole lot.
6:13What do you call it the social media platform that Elon Musk owns?
6:16What do you call it?
6:17Some people still call it Twitter, some people call it X.
6:20Whatever it is to you, you call it what you call it.
6:22It's the same thing.
6:23Yeah.
6:24So where this will be a mess, it will be searching and education and all that stuff.
6:29Because people will think, what's desktop?
6:30What's Einstein?
6:31Is Einstein a new product?
6:32Or yeah, like whatever.
6:33Same.
6:34Yeah.
6:34Anyway.
6:34Let's not get too uh drawn into this.
6:36We have a name for the fourth wave.
6:38It's called Tableau Einstein.
6:40Right.
6:40What is Tableau Einstein?
6:42I think that's the next question.
6:43Right?
6:43Let's let's sort of break this down and we can go one of two ways, which is we could talk about what we saw in chronological order.
6:49Actually, I don't think that's the best way to cover it.
6:51I think it's better to start at the end when they showed like a an image or put it up on screen, an image of how the whole thing works.
6:59And I think you've already started to touch on this a little bit.
7:02But yeah, um, I think this is actually quite cohesive, right?
7:05I really like it.
7:06So the the one of the slides they talked about there's the I always I always find it funny when you you see um I suppose with tech companies they talk always talk about the gap.
7:14Right.
7:14There's always a gap.
7:16There's a skills gap.
7:17There's a data gap.
7:18There's a X, Y, Z gap.
7:20There's always a gap.
7:21And in this
7:21In this case the gap is between the um where people mostly work and where your insights live.
7:27And this is I think
7:28And your data is stored and trapped in the chasm of doom.
7:32Um But I quite like this as a concept because it's true.
7:35Like anyone that works with data is like, well, yeah, that's
7:39That that's exactly it.
7:40But what's quite nice is at the end of it with this um the Einstein one platform, you now have this uh really clear set of
7:50Again, words are important.
7:52You can call it capabilities, you can call it silos, you can call it um lanes.
7:59There's a lot of different words you can use for this uh columna structure.
8:03Um I think you had you had a you had a good way of putting this.
8:06Yeah, I think the the way I said it was a centralization of the platform.
8:12A decompo decomposition of the products and uh the produ sorry, the products have become experiences and a decomposition of the features.
8:22So there's like three steps to that.
8:23So first bring everything under one roof.
8:26Second, uh take those products and turn them into experiences.
8:31In fact, I think the diagram says connect, prepare, model, contextualize, answer, engage, act.
8:37Which is the flood.
8:38This is basically the journey through desktop, prep, and the cloud, but now all under one roof, right?
8:43But in the very last
8:45It's making sure not to call it prep desktop.
8:49Yes.
8:49It's saying this is your analysis flow.
8:52We talked in the last pod about analysis is changing and peop the way that people interact with information and insight is different.
8:58And I give my cursory glance to the knowledge curator.
9:01Um They did not once mention server, cloud, prep, or desktop.
9:08Those are extremely deliberate moves.
9:10No, no.
9:11From authoring got a shout out.
9:13Not desktop.
9:14Desktop public.
9:16Yes.
9:16That was like in here's what we've done, in the here's what we've done, but it wasn't n in the in the future bit, there was nothing about anything in the pa anything in the past.
9:26Right.
9:26So very deliberate, I think.
9:28I think it's these are subtle things, but I think it's a very deliberate choice um in there.
9:32What uh and so and to be honest, the writings have been on the tea leaves for a while.
9:36This is a pretty obvious thing, everyone's figured this out.
9:39Um, so yeah.
9:41And what is interesting about this as well is we said this in the podcast, right?
9:47Like Tableau's idea of work involves
9:52Salesforce Slack.
9:53I might Microsoft Office has to be there, of course.
9:56Um Workday.
9:57Um does Salesforce own workday?
9:59Workday comes up again and again and again in Salesforce decks.
10:02And I never know if there is some sort of relationship there or if this is just like
10:06Uh, you know, like cell uh s Snowflake and Sigma like to pair together because Sigma drives consumption for Snowflakes and Snowflake loves that, so everyone's happy.
10:16I don't know if it's one of those kinds of symbiotic relationships where
10:19Workday has some sort of integration.
10:20It is correct.
10:22It is correct.
10:22Salesforce and Workday are formed strategic partnership 24th of July 2024.
10:30There you go.
10:31There you go.
10:35Yeah.
10:36Yeah, exactly.
10:37So yeah, it's it's interesting.
10:39And so the only thing I'll call out here, I don't want to spend too much time on this is
10:43They're very much pushing into this vision of a workflow without overtly calling it that.
10:48And I think it's it's sort of um
10:51It's sort of interesting because what everything they demoed was a workflow.
10:55Everything they demoed was a flow from question to answer to action to engagement, right?
11:00Everything was that kind of thing.
11:02But they never really called it that.
11:04They never called out that sort of journey.
11:07They just kept on showing it, but they didn't call it that.
11:09And I think that's sort of a strange
11:11Missed opportunity.
11:12I think there is actually a benefit in call in in calling that.
11:15I think the only thing they did give it was a was a
11:19a title which is workspaces.
11:20So they they they kind of create these workspaces where people come together.
11:24That is the canvas as it were.
11:26We'll come into this later on.
11:28But uh other than that, yeah.
11:35Two quick hits I've got.
11:36Go on, go on, hit me, hit me.
11:38So the two quick hits are first of all the full common challenges they talked about are spot on.
11:42Right, like and oh yes, yes.
11:51You can't reuse what you built.
11:52Yes, absolutely.
11:54And then and then you're saying customers want one solution.
11:56Well, I don't think they want one solution.
11:58They just want a way of doing it that isn't hard.
12:01Um and those are two different things.
12:03But when they say customers, they mean CFOs.
12:05CFOs want one solution.
12:07They only want one what one billing cycle.
12:11Exactly.
12:12And then the second thing is this is the first time we saw a rebrand of Tableau's motto ever, right?
12:19Like I think I talked about see and understand data
12:24uh as the original slogan then we help we help people see an understand dates which is the full slide but the people was then the focus for a number of years with Tableau Blueprint coming out
12:33But this is the first time we've seen a real evolution of that into something different, which is we help people see and understand and act on data.
12:42Third piece.
12:42Yeah.
12:43Right.
12:43Necessity in today's world.
12:44Let's be honest.
12:45Action-driven analytics, right?
12:46And really what this
12:48calls for and this is probably again we should maybe have a a full podcast on this based on some of the feedback we got from the last one.
12:54Yes.
12:55What does this mean for dashboards?
12:56Like if we're really calling this the the flow, what what does this mean for dashboards?
13:00I think Adam called it out, said, you know, he asked he asked uh dashboard developers to start developing new skills, you know, become prompt engineers, um, start learning other uh sort of
13:11Supporting activities like data modeling.
13:14And to be fun, as we're like, we've been saying this for a long time.
13:16I think this is not new.
13:18And anyone who's working in the sector will probably already know this.
13:21You're hardly just using Tableau on its own.
13:24But
13:25Yeah, no, this was got called out.
13:26And, you know, that chasm slide came up again.
13:28I think we've seen that slide now four conferences in a row nearly.
13:32All in different contexts.
13:34Yeah, all in different contexts.
13:36First it was a gap, now it's a thing, and now here's like the solution.
13:39We saw it again.
13:40So no very, very um valid concept.
13:43But Ravi, I said something to you at the end of the session and I said to you
13:48that we've seen everything they've showed in the session before.
13:52And you didn't believe me.
13:53I didn't believe you.
13:57And I literally scrubbed through the entire section where they showed this at conferences three months ago.
14:02And it was all there.
14:05Exactly.
14:05And look, I I I I admit I missed that.
14:08I think it was um
14:10The conference screening situation where you have it it zooms and changes a lot, whereas on on the stream you have the slides always up and then a small bit of of the video, right?
14:20Um yeah but no you're right.
14:23A lot of the bits we saw, the decomposable, deconstructed workflow.
14:27I think actually many folks probably thought that was just um just sell source.
14:39They had to come back and say, no, this is Tableau.
14:41Yeah.
14:42That's what today was.
14:43Right.
14:43And I th and I think it's it's quite cool, right?
14:45If we if we now talk about the the almost demo we saw, we saw um
14:50You know, Tableau Einstein now in Slack.
14:52Tableau Einstein now in the CRM.
14:55Uh and then we saw um
14:58A bit more about this connected experience in the canvas, right?
15:01Yeah, exactly, exactly.
15:02So let's let's sort of let's break this down into some of the high level.
15:06And I'll call them out first and we can go through them one by one.
15:09Firstly, the authoring experience, right?
15:11That was sort of the first thing they rushed to, just to tell you, hey, everything's still okay.
15:14Don't worry.
15:15Don't worry.
15:15We've not this familiar thing.
15:17It's still here.
15:18Everything you've learned is still there.
15:19We've just we've just stripped it of all those, you know, menus and features that you love to use.
15:23The little details, we've just made it simpler for you.
15:25Okay.
15:26Number two, workspaces, like collaboration.
15:30And in the workspaces element, there was a little bit of new flavor semantic models.
15:34uh Einstein semantics was something they brought up.
15:37Exactly, exactly.
15:38Um and then uh composable data sets, so data modeling, support for metrics.
15:44and all of that coming through.
15:46And then very final one that I think stood out to me was the marketplace.
15:50Giving people a canvas
15:52To go and monetize their input into Tableau.
15:56This almost feels like to me, someone's looked at Tableau Public and said, hey
16:00We need to make something money out of this.
16:03Create a marketplace.
16:04Get this awesome work, not just being sent out for free.
16:07Let's start skimming off the top of this.
16:10Um but anyway, we can come back to all of those.
16:12Where do you want to start?
16:13I'll give you I'll give you the floor to choose a choose a starting point
16:18Let's start with marketplace, actually.
16:19Yeah.
16:19Right.
16:20Let's start where we just left off.
16:21Let's let's just take a listen and just leap straight into marketplace because I think marketplace is
16:26A really fun concept.
16:27And I've got a s small bone to to pick with the current marketplace.
16:33Which one, Ravi?
16:34Which one?
16:35Public or the Viz extensions?
16:36They're both marketplaces.
16:38One's free though.
16:39Well, this is about what we're about to get into.
16:42You you then download, you know, you if you say, let's say you want a um complex chart type, let's say a radar, you go onto the um this marketplace and then you type in radar, and there's four
16:52You can choose from four, three, four, two, whatever it might be.
16:56Yeah.
16:56Both are free.
16:58Until you use it.
16:59And then when you want to save your formatting.
17:02You have to then pay for your extension for unlocked.
17:06Now, if that's th there's no in-app purchases like you do in the app store.
17:11There's nothing that tells you actually this isn't actually unless you get in touch with the developer and there's no cost and then you have to freak out.
17:19Which is fine.
17:20Like yeah, yeah, you know, I'm I'm not I'm not against people looking to monetize this, but I think the um
17:26It's not the Figma marketplace where all of that is just done in one place.
17:30It's not um it's not a mature-looking marketplace, even though I think they've got many examples.
17:36I I I believe I believe that's coming in there and like this is almost showing that extension where you can see like this this dashboard or this this uh canvas you can purchase $129.
17:4599.
17:45Um it's there, right?
17:47The biggest mistake with the current marketplace was to build its foundations on top of the Tableau Partner ecosystem.
17:54Having Tableau Partnership B, the requirement was just the wrong place to start.
18:00Because inherently, where is all the value?
18:03Where is all the goodwill?
18:04It's not in the Tableau Partner ecosystem.
18:06Sorry to say that.
18:07It's actually in the community, right?
18:10All of the people that work for those same companies
18:13Do good stuff in the community.
18:14It's the individual people.
18:16As well.
18:16So to so to put it in the partner ecosystem means you have to wait seven months to get into the ecosystem.
18:22It's not a smooth process.
18:24I had Tristan on the channel talking about how painful it was.
18:27And the only reason he got through was because he knew someone.
18:29It's not really like that accessible.
18:31And so
18:32That to me is the biggest mistake.
18:34There's so much good value in there.
18:36The people who've sort of jumped the hurdles to get their stuff in there, really high-quality work, unfortunately, buried under bureaucracy.
18:43Which is a real shame.
18:44I'm hoping this fixes this fixes.
18:46I I I I've no doubt it will improve and expect putting it front and centre almost sets that signal, no, this is here to stay.
18:52Uh I think I'm I know accelerators work really well.
18:54I like it.
18:54I think they're they're quite a good
18:56Uh use case for this sort of thing where, you know, actually here's a dashboard that everyone can use.
19:01Like, you know, there's a Tableau Cloud Accelerator that gives you
19:04all of your data sources, your TS content, TS users, TS whatever mouse might be for your tablet cloud platform, you connect it up and you away you go.
19:12It's already plugged in, you can start analyzing your data.
19:14Super.
19:15This this plus then the connected workspace puts that on steroids.
19:19I think it's I think the connected workspace and the new sort of experience of using Tableau.
19:24I am genuinely really excited about.
19:26I think it's going to be such a good innovation game changer that allows people to
19:32really get stuck into it um yeah and understand the flow and and the biggest one collaboration commits and the fact that
19:41Suddenly you don't have to do a data source audit um to find out what calculations are being used elsewhere and you don't have to buy Tableau Pulse to make sure your lineage is correct.
19:49Hopefully, well.
19:50Yeah
19:51Who knows?
19:51Maybe it gets packaged in Tableau Pulse Pulse.
19:54Who knows?
19:55But I uh yeah, the marketplace is a good is a good thing.
20:02Yeah, don't don't don't try and get me to say that I have to I actually before I record videos sit in front of the camera camera and go pulse
20:10Plus.
20:10Pulse.
20:11Pulse plus.
20:15Then I start recording.
20:16Anyway, marketplace
20:18I think quite a positive change.
20:20Hopefully all the back end changes to support that are good.
20:23Where shall we go next?
20:27Workspaces?
20:27Let's go there.
20:28Yeah.
20:28Let's go to workspaces because I think this is
20:31Uh this is a reimagining of what I would call projects inside of Tableau.
20:36Uh no, ditching the project concept, the folder concept, quite a dated concept.
20:40It's kinda funny 'cause this really borrows from uh apps like I think of today like Notion, where there is no such concept as a folder.
20:47Instead you have these
20:48These those blocks, right?
20:49And so what they're doing here is getting rid of projects and creating uh spaces, workspaces where teams
20:57Can collaborate and in those workspaces you have multiple assets and everything that makes those assets is decomposable.
21:05So this is what we said before: like you take the prep experience, the desktop experience, the cloud experience,
21:10You get rid of all of it and instead you just bring back the features as different experiences.
21:16So you have the altering experience, uh, the um
21:20The semantic models, the prep flows, the data sources, the metrics, um, all of those are now just sort of inter-constituent parts again.
21:29This will be up on screen.
21:30Exactly.
21:31And I think that's actually quite a powerful thing.
21:33If anything, this is this is the biggest value out of this whole thing.
21:37Like, you know, uh, you'll remember the video we made about um like
21:42what I want to see in the future version of Tableau.
21:44The one every time we're going to be able to do it.
21:45They took this concept to the Nth level.
21:47Yeah.
21:48They took this to the Nth level.
21:49That's exactly the same concept, but I think they imagined it in a much, much, much more sort of, I think
21:55uh flexible way.
21:56Like they can build on this in so many interesting ways in the future.
22:00And it feels structured for third parties to be able to come and play with it through APIs.
22:07It feels like you're going to be able to query stuff.
22:09The metadata API is, I think, is going to become alive, right?
22:12Because the VisQL.
22:15Yeah, exactly.
22:15Yeah, yeah.
22:16The VisQL engine, like all of that stuff.
22:19uh Visual data service, sorry, that's what it's called.
22:21Um being able to query specific data from different like visualizations, bring those together, the pulse API, being able to query the stuff out of coming out Tableau Pulse.
22:31Having that turn up in apps, I think fantastic.
22:34So they are really building the platform, they're really building the back end of that, and it's all starting to come together.
22:40And I think things are falling into place.
22:42I think, you know, multi-fact analysis feels to me like the most important component that enables most of this, right?
22:49Um, and I think what I said to you, and we we used an analogy around the house here, which is they've built the front door.
22:55and the back door and now what they're about to do is furnish the house, right?
23:00Like the thing about it.
23:01Yeah, exactly.
23:02It's like you you you've got the front door, back door, you've got the four walls, you've got the roof.
23:05Yeah.
23:06Now you need to work out.
23:07Am I gonna put some stairs in?
23:09It's airtight.
23:10Yeah.
23:10Yeah.
23:11Where are the walls going?
23:13Um Which is gonna be in my living room.
23:15What is the is the fang shui?
23:16How do I set this up so the feng shui is right for me?
23:19Now
23:20Now imagine this as we extend that into like every user has their house or every product or every dashboard is a house.
23:26You can then borrow from the building site of this collection of tools to construct it.
23:32Now
23:33What this really again the question comes back to what does it mean for dashboard designers, creative dashboard designers who want to build UIUX experiences in Tableau.
23:44And the feeling I'm getting is you can do that wherever you want guys.
23:49It's not might not be Tableau Desktop
23:52And I think they're gonna talk about it at Dreamforce.
23:54That's what they kept on saying, you know, we're gonna showcase a new altering experience at Dreamforce.
23:59But
24:00I think I do think you're you're absolutely right.
24:02This this is um and they said it a couple of ways, a c a couple of different ways, you know, building an experience that is
24:10um really gonna enable the end of line analyst, the actual business user rather than the the analytics professional to do what they need to do.
24:19If you think of this as a triangle,
24:21You've got coders, data engineers at the top, as is the smallest amount of people that have this capability.
24:26Data scientists, you know, like the the demand is high and the supply is still low comparatively to what the the industry supposedly needs.
24:35The middle layer is an analyst, as as me and you know, as as we are.
24:39Um and then the bottom layer is actually the the the business user who
24:43can do a bit of analysis, but really they just want they just want the warm blanket of a spreadsheet to keep them warm at night, blah blah blah.
24:50Um but they still have questions and again we're with questions rich and time poor.
24:55So instead of trying to learn how um anal analytics works, um and how to get master a tool or code
25:04Just just go ki go compose some d compose some stuff based on this this mart I've got in front of you.
25:10Yeah.
25:11Yeah.
25:11And maybe that's a good segue on to the authoring experience we did see a bit of, which is the first thing they kind of rush to say is look, hey
25:19This is the same experience that you're familiar with.
25:21Things were in sort of the wrong order, but it's fine.
25:24You know, filters was at the top, pages were second.
25:26That's not how it is in the product, but anyway.
25:31Um, but I think it was interesting that they said, you know, columns and rows, um, you know, metrics calculate although all those things you're used to seeing, the the points of references, the signs on the road remain
25:43The road is just going to be different.
25:44And I think that was a nice touch.
25:46Like driving a boat.
25:47That was a nice touch.
25:48Um, I do feel like they're moving the furnishings around, right?
25:52Like
25:52You know, Tableau's interface is quite a busy one and you know, there's so many menus and options and right clicks.
25:59Yeah, exactly.
26:00This just feels like get only bring stuff up when you need it.
26:04So they're gonna try and put some of that power into the actual capability
26:08And I guess this is the benefit of building it in the browser.
26:10You can do that.
26:11The the kind of heritage of Tableau Desktop as we know it today doesn't let you do that very easily.
26:17But in the browser, as everything is going these days, um, yeah, this is gonna make sense.
26:21And I think I'll call out this.
26:23Everyone's sort of been a little bit reluctant about the web browser version.
26:26Let's just say it now.
26:27Everyone is building products in the browser.
26:29I don't know of a single tool, single analytics tool, any new technology tool.
26:35that isn't starting in the browser.
26:37It's just it's just the common way.
26:38So as much as we all might not be sort of bought into it and as much as it does cause experience, you know, issues on our laptops, you know, running those things locally,
26:46Um they have to get good at it and that's sort of where they're gonna go.
26:49But yeah, more at Dream Force essentially for this experience.
26:53There's not much more to say about it because it it's broadly just the same, just looks different.
26:57Dare I say it's in the flow, right?
26:59Like you you're only bringing through things that are useful in that flow of analysis that they've called out
27:05Yeah, exactly.
27:07Okay, um the next bit was uh data, data modeling slash metrics, slash
27:14Um same as always.
27:16Yeah, yeah.
27:17I think this to me feels like a repackaging of lots of the powerful stuff we have today.
27:22Just a much nicer user interface, um, bringing things in a much nicer way.
27:27I think a more prominent placement of Einstein to help you arrive at those things a little bit faster.
27:33Suggestions being suggested in there.
27:35Um, you know, everyone has adopted these uh three uh stars as AI uh signal uh identifiers.
27:43So
27:44They have suggests on the toolbar, they have suggestions for things to add to the model.
27:48And I think given we have multi-fact analysis, it's very obvious that
27:52you know, this is essentially the cohesive vision for that.
27:56So yeah, um yeah, I think that'd be really cool
28:00The anything else to say on on data sources?
28:04No, it'll be fine.
28:05And like and I think yeah.
28:06This is all this is all like
28:08Tableau workbench stuff we talked again in the last last pod, right?
28:12Like when we talked about connected experience of prep desktop server.
28:17Um, or like, you know, the heavy lifting stuff.
28:19This is the heavy lifting, but again, there's still use, there's still a step prior to this.
28:25of curation, of creation, of monitoring.
28:29And this is where like I I don't feel you know if someone's sitting here being like
28:33Yeah, but my thing's prep or my thinks desktop or my thing is a bit of server management and making sure the experience works.
28:40Your job isn't going away, it's just evolving.
28:42It's just evolving to something where you know you're doing it in a different step
28:47And the mode of delivery, you know, I feel like this is like almost what the Explorer license was created for, right?
28:56Like this is it.
28:57You got viewers who just consume and look.
28:59But these are people who will explore your data, like truly explore your data.
29:04Um and you still have creators who create the the the the bones and the foundations and put the bricks together.
29:11So
29:12Yeah.
29:12But it's okay.
29:13Like again, it's optimistic gravity here being like, ah, it's okay.
29:18Yeah.
29:19Um the final thing I will say, and this this is the
29:23I'm gonna use this term and it's it's a sales forcification of Tableau.
29:27It feels like this is what the acquisition was really leading to.
29:34And I, you know, I don't know whether this is a fair thing to say, but I think one of two things would have happened here.
29:42Either Tableau have looked at the feature list.
29:44Sorry, Salesforce have looked at the feature list and gone, look, it's just easier to start afresh with a reimagined experience to tackle all of these things.
29:52At the same time, the people who are so invested into the current heritage that all they want is just Tableau to just to solve this one problem.
30:00I think something we've seen today is
30:02People going, oh, how is this gonna help me with Power BI?
30:05He's like, I don't think that's the focus of this.
30:07Yeah.
30:07Give me a few.
30:08Then this is the focus of that.
30:10It's in the browser.
30:11Um uh
30:14I don't think that's the focus of this.
30:15This is very much, I think, Tableau taking the opportunity sorry, Salesforce taking the opportunity to look at the featureless, look at what people are asking for, and just
30:24Build a whole new experience out of it and tidy the whole ship up.
30:27But it comes at a cost.
30:29And that cost I think comes with what I think is about to come, even messier experience, understanding what part is Tableau
30:37What part is Salesforce?
30:39What part is some other ecosystem?
30:42And when you go and package up your experience of Tableau, how on earth does this come together?
30:48They've snuck in Data Cloud, they've snuck in Slack, they've snuck in uh dare I say at Workbench and Microsoft and all this other stuff.
30:55There's obviously Salesforce and then there's Tableau and Tableau in itself is not straightforward.
31:00Tableau has many pricing things.
31:02They've just announced Tableau Plus, which, if I think about it, might be a sleight of hand, and maybe we should have seen this coming.
31:10What if Tableau Plus is the thing you have to announce first to be able to say Tableau Plus will be the thing you buy?
31:22To get access to Tableau Einstein.
31:25Right?
31:25It's kind of what you said at the beginning.
31:27Gone full circle, Ravi, right?
31:30And for every other tableau experience, you can carry on as you are.
31:34Tableau legacy, let's call it, right?
31:36You want your cloud, you want your server, go over there.
31:39But if you want this new experience,
31:41You have to purchase Tableau Plus.
31:44Carrot and stick, right?
31:45Carrot and stick.
31:45Yeah, yeah, exactly.
31:47And I I think this sort of but I didn't understand why they just didn't call it Tableau Plus.
31:51It's kind of inherent.
31:52Because you have to get Tableau Plus to get the AI features.
31:56So Tableau Einstein is Tableau Plus.
31:58And like so like what am I buying?
32:00Am I buying Tableau Einstein or am I buying Tableau Plus?
32:03It's like
32:04It's kind of really strange.
32:08And this is gonna be amazing for Salesforce Tableau sales teams.
32:12And this is why a tableau sales account manager doesn't necessarily exist anymore, right?
32:17It's a Salesforce account manager that you're you're assigned to might then have your Tableau accounts, amongst others.
32:23within the ecosystem.
32:25Because they might explain and they might understand it better and and try and ups upsill upsell you some stuff.
32:29But but the losers are partners.
32:32The partners are the losers, like specialist partners.
32:35True
32:36who who the possibly are are specialized uh might struggle with this this new world because as you say what you sell in
32:44But I think Tableau have given them the ramp with the APIs new capability in the marketplace.
32:50That's that's the safe that's the parachute landing generally.
32:54Exactly.
32:55Yeah
32:55So that's the parachute landing.
32:57The stuff they don't want to do, frankly.
32:59Um Are you a Tableau Planet?
33:04Oh God.
33:06Um I think there is there is though
33:10There's just a tough thing.
33:11I still can't quite place this this this transition.
33:16We didn't get a launch date, yeah.
33:19So the house has just got a front door and a back door and some walls.
33:23But my point to this is what was this then, right?
33:26So
33:27This was like like what what was this webinar?
33:30Uh and we said it at the beginning, this webinar was a restating of saying this is Tableau, fine.
33:35We didn't see anything radically new.
33:37That's not an unfair comment to say.
33:39If you go back to Tableau Conference, uh Keenan, I'll put the timestamp in the description of where to start and where to finish.
33:45You can go see it.
33:46It's all there.
33:47It just wasn't as linear as what we saw today.
33:50We didn't get a launch date, we just got Dreamforce as a next point of call in a month's time basically.
33:57More information.
33:58That's when I hope to see a date for general availability.
34:03And I th you know, let's not kid ourselves.
34:06This wasn't something they started at conference.
34:08This is this started
34:09a long time ago.
34:11I don't know if what we saw today was a was a demo of the actual product or a Figma demo.
34:16I don't want to be unfair to anyone at Tableau who's been
34:19you know, working super hard and to get this out and I'm sat here saying that it's a Figma demo.
34:24But the reality is But the reality is there are very many Figma demo in Tableau keynote.
34:31So it's not like it's not hard.
34:34I think you have to start going back to basics and doing more honest demos to kind of get rid of that thing.
34:39And maybe it's just something that I know because I'm in the weeds here.
34:44Exactly.
34:45Um so the best way to show that is don't just demo it.
34:48Let us get our hands on it.
34:49Yeah.
34:49Give us give us a beta portal.
34:51Give us somewhere to go.
34:53Give us somewhere to go and try the new watering experience.
34:55even if it's super limited.
34:57A bit like we had with the Tableau Public, you know, new VizTart types.
35:01Give us a little way to sample this new thing.
35:03Yeah in Tableau Cloud, give me a toggle so I can toggle the new experience and see what it's like and then toggle it back to a safe experience.
35:10And then all of that stuff can I think s really start to make this feel like a bit more real.
35:15I think this is the trailer.
35:16My my my my view is this is like um
35:19a trailer of what's to come.
35:21Um I don't think this is necessarily saying this is what you'll get.
35:23Forward looking statements, man.
35:25You saw that forward looking statement slide.
35:27It was straight there.
35:28First first minute.
35:30Don't make any purchasing decisions based on what you see here today.
35:33Um so no, it's it I think it's it's definitely a trailer.
35:38I think it's a
35:40It's a drop in the pond to see what what ripples.
35:43And I think it's a it's it's showing your cards to an extent and giving that ability for people like you and I to react, right?
35:52Like and and
35:53other other folks to get an idea of what's to come and start thinking in in that way where you're not again as you say you're not pulling the rug from under them at Dreamforce being like you've all lost your jobs we are now all canvasses
36:07Yeah.
36:08And and so actually you you remind me of a point I was gonna make earlier on, which is maybe that was the whole point of today.
36:14To get the people who are really deep in the weeds with Tableau to see this and react to Parapet.
36:20So that when you do it at Dream Force, all the people who don't typically see Tableau
36:24It's more of a like, wow, this is super interesting.
36:27It's gonna be powerful, it's gonna blow open Salesforce.
36:30Because Einstein Analytics was the thing that was supposed to solve that and it didn't.
36:34That's why Tableau is here.
36:36And they've sort of yeah.
36:38My feeling is what we'll see is trailer one here.
36:41No, sorry.
36:42T Z trailer, TC.
36:45uh sort of the uh cinematic trailer today.
36:48The launch um of part one at Dreamforce.
36:53It won't be till TC, I don't think, that we'll see an actual product ready for GA
36:58And because that will be the big splash.
37:01Because again, you you were talking about how do you take people on that journey?
37:05Journey one happened, we're in journey two, journey three will happen, and then we'll get
37:10This this is now real.
37:12Like you've come around because in the in the last podcast, you didn't believe me when I said we won't see anything this year.
37:18And I said we wouldn't say anything for another year.
37:20Anything new?
37:21Sorry.
37:21Sorry.
37:21Connected experience.
37:23Fine.
37:23Fine.
37:23Fine.
37:24Fine.
37:24Fine.
37:25Fine.
37:30Fine, fine.
37:31I mean you're probably right.
37:33I have come round and I've convinced myself in the
37:35Recording of this podcast actually, the timeline I've just stated makes a lot more sense for the user base that currently exists, the user base that currently exists.
37:45Are not as plugged in, they're not as cult-like, they're not the people who are desperate for A, B, and C.
37:51They are people who are just simply doing their jobs and wanting to do better, quicker, faster, and deliver.
37:57How do I do my learning tableau today?
37:59Yeah.
38:00Correct.
38:00This is correct.
38:01Just just just new to the whole thing.
38:03So yeah, I think I think that's that's covered most of it.
38:06Um This is meant to be a quick podcast, Tim.
38:09It was quick, thirty-seven minutes.
38:14Regular size.
38:16Yeah, no, it's a qu quick reaction.
38:18We'll get this edited
38:19Um, I'll try and turn it around quickly.
38:21I will do like a here's what was in the session, like a very summarized five, ten minute video after this.
38:28Um so if you're at wondering where that is, yeah, like you know, I've got stuff to do.
38:32Uh my wife is nearly due.
38:34Um so I I might not get around to that for a while.
38:37So this will have to be it.
38:38This will have to be it.
38:39So um to be it for now.
38:42Exactly.
38:43Right.
38:44Great to connect, Ravi.
38:48Well the wave, the wave is uh the wave is broken shore.
38:51Now we get to see what happens with the with the sand.
38:57That was a more crap ending video.
39:03Excellent.
39:04Yeah, the fourth wave is here.
39:06Um let's see, let's see where we end up.
39:09Um but it's exciting.
39:10I mean I'm really excited for connected workspaces.
39:12Um good, take care
In this video, Ravi and Tim delve into Tableau’s newly announced vision for the future, including the introduction of Tableau Einstein. They discuss the rebranding, the new authoring experience, and potential impacts on users and partners. They also speculate on timelines and release dates for these exciting new features. Tune in to hear their hot takes and insightful opinions.
Timestamps 0:00 Intro 01:03 Context 2:11 Tableau Einstein 6:37 What is Tableau Einstein 13:47 We’ve seen this before 13:40 New Experience in Tableau 16:18 The marketplace 20:30 Workspaces 25:02 Authoring Experience 27:08 Data modelling 29:15 Salesforcification of Tableau 33:20 General thoughts
& Playlists You Shouldn’t miss How to Learn Tableau: https://youtu.be/ayc6AjOuQb0 Tableau Desktop Crash Course: https://youtu.be/-Aj8IlC0IEA Tableau Prep Course: https://www.youtube.com/playlist?list=PLRfaJ7ZL0cF6JRvdxUV3FQSYG6OOH9Eta Tableau Functions: https://www.youtube.com/playlist?list=PLRfaJ7ZL0cF7f6EQL-mGk63ElvpWzs2z- Tableau charts in 2 mins: https://www.youtube.com/playlist?list=PLRfaJ7ZL0cF7kHEdpAum7pccjQypzlabR
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