Tableau Conference Keynote Summary : 2024 San Diego

0:01Wow, what a keynote.

0:03Tableau absolutely knocked it out of the park with that keynote.

0:06There's just so much to unpack.

0:08I don't know how I'm gonna do the summary.

0:10But here we go.

0:11As ever, let's get started.

0:13First we're gonna look at the context before the keynote.

0:15Then we're gonna look at the four different sections

0:17of the keynote in in chronological order.

0:20I think that's the sense that makes the most sense because that's the way it was delivered.

0:24So I think it's easier for you to follow.

0:25Secondly, I'll also call out that you should go watch the keynote yourself if you've got an hour and a half to spare.

0:32It's nearly two hours, actually.

0:33It's one hour 48 minutes.

0:35is the runtime on YouTube.

0:36So if you can spare that, just go and watch the message for yourself.

0:39It's also on Salesforce Plus.

0:41Go ahead and watch that.

0:42But

0:43I will touch on these two points.

0:45Firstly, Tableau announced 24.

0:482 and 24.

0:502 has a capability called VizExter.

0:52You might have seen a video on LinkedIn that I did.

0:55I'll put it here in this video.

0:57It is an incredible set of capabilities and there's lots and lots of questions to ask.

1:00answer but I can't cover that in this video.

1:02We'll make a separate video later this week, this weekend, next week.

1:06So much stuff to get through.

1:07So be sure to check that out.

1:10The other thing was announced was some capabilities relating to Apple Silicon and also capabilities related to multifuct analysis.

1:19which then links into something that was announced at devs on stage.

1:22So although these were announced sort of before the keynote, they were mentioned in the keynote as something that was announced.

1:28So there was quite a bit of context to sort of support what was going on in the keynote today.

1:33The final thing I'll mention is that the keynote itself was very much a story about the past of Tableau, the present of Tableau, and then the future of Tableau.

1:42And when I mean future, I really do mean.

1:44the future of Tableau.

1:44.

1:45This was a really sort of visionary piece within the keynote.

1:48Let's start with the opening of the keynote.

1:51Okay, so like any keynote from Tableau, they always open it by essentially doing a summary of what's coming up in the week.

1:59Because this was the second day of conference, they already sort of had some of the sessions already.

2:03They were outlining some of the key events today, that is I and Vis and then the day to night out and then a couple of touch points throughout the week and of course the conference itself.

2:11So super standard opening.

2:13We then move straight into Tableau Public and I didn't really see this coming because what they did is they used Tableau Public as a way of doing two things.

2:21Firstly, as a mechanism of showcasing

2:23how Salesforce's values are represented in the product tableau public and they extended this by essentially saying hey look we love this community

2:31so much we're gonna give back and give back with a feature they've asked for which was the ability to save locally on Tableau Public.

2:38Yes, this is an absolutely incredible feature.

2:40This has been something that I think people sort of really struggle to understand with Tableau Public.

2:45which is why do I have to save it to Tableau Public?

2:47Why do I have to save it to the cloud?

2:48Well, now you can just save locally on Tableau Public Desktop Edition.

2:53That's actually its official name.

2:54So that's going to be a huge barrier remove for people who just want to learn Tableau.

2:59You can literally install it on your personal machine.

3:01without ever wanting to publish the tableau public and just start practicing Tableau.

3:06Huge game changer.

3:07It makes it essentially the free version of Tableau, which is a really, really nice way

3:11to to to do it and Tableau then sort of backed us up with a couple of supporting facts throughout this sort of section.

3:18They actually called out some of the year-on-year growth numbers.

3:21for Tableau Public, which I think was an interesting sort of choice.

3:24I think they're using Tableau Public as a way of showing growth in their platform and a way of showing growth in their user numbers.

3:30A pretty important stat if you're working in the market, if you're trying to talk

3:34to investors if you're trying to give confidence around Tableau's position in the analytics space.

3:39That said, why start talking about that?

3:41It must be because some other metric isn't doing so well.

3:44So typically when companies sort of switch the metrics that they focus on, they do it because the you know the the incumbent matter they've been using is no longer favorable.

3:51So

3:51You've got to ask yourself, what is the unfavorable metric here?

3:55Is it the customer growth?

3:56Is it revenue numbers?

3:57We don't really know what it is because I've never really paid too much attention to it.

4:00But if you're an analyst

4:02in the market, paying attention to these stuff, let me know.

4:05Now if I look back at my notes, and I have to look back at my notes, there's quite a lot here.

4:09Um this placement of sort of sales forces value was really really prominent.

4:14kept on sort of going back and forth, back and forth and sort of weaving the community points in.

4:19And then Ryan Ate sort of set out what it calls the five steps of becoming an AI enterprise.

4:26And they mapped it to Salesforce products and sort of very clearly placed Tableau in that sort of fourth spot, right before the very last spot with Einstein and Copilot.

4:36And so I think that was a really interesting message to sort of start with Tableau Public, align the values of Tableau Public with Salesforce, and then remind everyone.

4:44where Tableau sits in the Salesforce ecosystem.

4:46I think that's a very deliberate move, especially this year where the conference does seem to have been sort of de-Salesforced a little bit.

4:53But we'll come back to that a little later on.

4:55Okay.

4:55So that was pretty much the opening, very standard opening.

4:58And we then moved on to another section which was essentially about the waves of analytics.

5:03Let's talk more about that.

5:04So Ryan then used a very interesting analogy of waves of analytics to sort of tell the story of the past, the present, and the future.

5:12And we'll come back to the future later on when we talk about the piece on vision.

5:16But let's talk about sort of the past.

5:17Wave one, the very sort of start of this analytical movement.

5:21uh Ryan sort of put it very nicely.

5:23This was sort of the original like ideation of BI.

5:26Then came Wave 2, this idea of self-service.

5:28And that is really where Tableau was born.

5:30Tableau spent 20 years

5:32solving that problem and has done so with great success.

5:35Ryan calling out some of those successes on stage with some sort of highlights from the company's heritage, but also using this as an opportunity to thank the community that has got the product there

5:45So the data fan became an important part of this segment.

5:48And it was really an opportunity to say thanks, get the visionaries, get the user group leaders, get the ambassadors up, get everyone in the room that has really helped push Tableau to this sort of position of provenance.

5:59in this particular phase.

6:02But what was interesting was this sort of acknowledgement that look, where we are in the last couple of years is actually the next wave.

6:09So wave three.

6:10So this is a really a bold acknowledgement from

6:13Salesforce now, let's say, like look, Tableau has been on this path to change for the last few years, and they sort of set out the features that they've

6:21They've sort of put out to sort of cover that.

6:23So it actually starts with Tableau Mobile, Tableau Cloud, and it follows all the way through with things like Tableau Pulse, Einstein Copilot, and then some of the features we're going to see today

6:33And this is very much the wave they call the AI wave.

6:36So this is sort of the wave that leads to where AI is heading.

6:39And they call this wave three.

6:41And it was a really important sort of

6:42piece of context because this is where tablets sort of pause to say hey look this is wave three let's show you what we're doing right now to solve problems in this wave this wave is in flight

6:53Let's walk through some of those particular challenges.

6:55And so this is where we then moved on to what I would call the third segment, which was moving forward with Tableau, ultimately starting with

7:04one of three items.

7:05So uh Ryan sort of set out, hey look, we're gonna talk about uh what we're doing today.

7:10We're gonna talk about the way we're thinking about the future, so vision, and then we're gonna talk about DevZon

7:16stage so innovation vision and devs on stage okay let's start with the first one which is innovation okay so innovation wave three as it were so this was actually a pretty straightforward section

7:29This is more the traditional tableau that we've seen at uh Keynotes, essentially stepping through a couple of things.

7:35So the way they did this is they sort of topped and tailed it with a customer segment.

7:39So at the very beginning, we had a customer segment

7:42We had a a gentleman from I think his uh I can't remember the name of the organization, but it came from a banking organization.

7:48I'll put it up on screen and essentially he talked about data culture being a core component to how they deployed something

7:55And it was sort of teed up by Emacs, who's essentially saying that look, before you have AI, you have to have a data culture.

8:01You have to have a data culture that functions, that has people that know what they need to do, that are empowered to do what they need to do.

8:07need to do and his customer segment was very much speaking to that point like hey this is how we've done it and it's exactly that point on culture

8:16Having done that, uh we then moved on to a very short segment, which is I think something Salesforce keeps having to do every time it talks about AI, which is keep reminding you, keep reiterating that there's an element of trust and faith that you put in them to you.

8:29use these features.

8:30And as a result, they're going to handle that data and treat it with respect.

8:33So there was a big focus from Elizabeth here on trust, safety, and how the Einstein trust layer works.

8:40Thankfully they didn't go into that diagram that we've seen hundreds and hundreds.

8:43of times but I think if Salesforce had the opportunity they'd sort of uh tattoo this diagram on everyone's forehead so they know that they're not doing anything nefarious with uh your data when it comes to sort of AI models.

8:55Now

8:55The weird thing here is that, you know, whilst that is the case now, I think there's an element to which where, you know, if you're going to build good versions of this technology, you are going to have to train it on something.

9:07And the best stuff to train it on is the stuff that your customers have.

9:11So it's interesting to sort of hear on one hand, look, we're not going to train it on your

9:16data, your data is yours.

9:17But there's a ton of other data that does belong to Salesforce, does belong Tableau.

9:22You know I think of the Tableau forums.

9:24That's basically all their own IP, isn't it?

9:26Even if you're putting stuff in there, it's

9:28you're putting it on their platforms and that belongs to them.

9:30You've got Tableau Public.

9:32Here are all of us uploading visits to Tableau Public, free product.

9:35In the terms and condition, I'm pretty certain that it says that anything you put on there they can use to improve the product

9:41understand how it works and use that.

9:43So they don't really need customer data really to be sort of doing all these things.

9:47So on one hand, I appreciate the call out that they're not going to miss

9:49use your trust.

9:50On the other, I'd like them to be a bit more honest about look, here are the sources we're using to train the models to make them do the right things because without those models you're not going to really do anything valuable.

10:01And ChatGPT can't do much about Tableau.

10:04You have to really sort of write great prompts for it to do that.

10:07So laying out that story, I think, is

10:10is sort of an important counterpiece that you think you have to ask and we hopefully have to see.

10:14But hey, I could be completely off the piece here.

10:16If you know something about this that I don't, please let me know in the comments.

10:19Point me in the direction of the Salesforce documentation that has all this.

10:22I'm sure there's something out there

10:24there and we can dig into it.

10:25Okay, looking back at my notes, um, we then moved into the Tableau Pulse section.

10:29So having sort of teed off the safety and trust element, we talked a bit more about Tableau Pulse and I

10:34Einstein co-pilot.

10:35There was actually a couple of demos that sort of led into this.

10:39The really interesting thing here was they used this to call out a couple of

10:42the facts firstly 3000 customers live on tableau pulse since launch that's pretty good going given that it only launched pretty much at the beginning of this year and you've got to remember that look

10:52Tableau customers sometimes are so slow updating products.

10:56And then you also have a big customer base that's on Tableau Server.

10:59So what I'd love to know is the percentage of the addressable market that have actually started to use

11:04Tableau pulse and then you know if that number is going to go up.

11:07Seeing that reported again towards the end of the year, I think that would be a really good indicator.

11:11The other thing is how many of those have gone live with end users?

11:15Because the thing is you can enable it and start using it, but you're not necessarily

11:18deploying it and sort of getting everyone in your organization using it, you might still be testing it.

11:23So again, I'd love to sort of see that split up, but you can't really know.

11:26Like as long as Tableau is concerned, if you're using it, you're using it.

11:29And so I'm sure you counters them

11:31metrics.

11:32The other thing they called out was something called metric bootstrapping and pulse goal.

11:36So metric bootstrapping is essentially when you're in a visualization you see something and you think, ah, this would make a great pulse metric.

11:41So you click on it and it generates a pulse metric.

11:44And boom, you have your pulse metrics linked to that visualization.

11:47I think that's a pretty nice way of getting people into the habit of creating these pulse metrics more organically.

11:52And then on the flip side of that, we also had an uh

11:55uh sort of um uh an idea of something called pulse goals.

11:57Now I don't actually recall seeing the stem on today so if it was there.

12:01I've seen so much today that maybe I'm just forgetting, but

12:04Pulse goals seems to suggest the ability to set a goal for a particular metric and sort of being alerted when it gets there and having a sort of progress bar towards that metric.

12:13metrics.

12:13So something I'm really keen to see, but it was really good to sort of see this journey about Tableau Pulse being sort of pushed forward and seeing where that ends up.

12:21Now Anstein Copilot was a feature that you really had to see.

12:25And the thing is, I've seen this in so many different contexts that actually this is starting to tell a really compelling story about this feature.

12:32The demo they gave was essentially a day calculation and needed a fixed LOD with two dimensions to calculate the average of something.

12:40And that is the kind of thing where look a user's just not going to know what an LOD

12:44LOD is to even be able to Google what an LED is so they can use an LOD.

12:49If you're just starting out in Tableau, that's the calculation you want to write.

12:53You're just gonna go write average of uh thing and put it in the table, get it to look right, but then not realize it as

12:59not dynamic and it's not working or the context changes.

13:02Anytime you do a percentage it breaks.

13:04So having something like Copilot spell it out for you was fantastic.

13:07So that was sort of in the visualization space.

13:10In the Tableau prep space

13:12Copilot was actually going through steps, suggested steps, one, two, three, four, showing you what you could do with the data prep flow.

13:19This is amazing because it really gets everyone past that uh hurdle of what to do first.

13:23Like where do I start with this?

13:25analysis what problem should I be solving?

13:27And as you start to solve those problems, I think more problems become apparent and the answers start to come to you a little bit better and you get into what Tableau used to call the flow, right?

13:35So the flow of analysis was something that you'd get into.

13:38And once you're in it, it's much easier to sort of create the right path and craft the exact thing that you need.

13:43So

13:44That was really good to see.

13:45We also got something I've never seen in my entire tableau sort of you know history or understanding of this company, a roadmap going into 2025.

13:57Q1.

13:58Like what is this?

13:59Like what happened here?

14:01It was absolutely crazy.

14:02I I think in the live stream someone caught a screenshot of me just just being like

14:06How are we getting all this?

14:08So it's really good to see this really bold roadmap of here's what you're getting all the way.

14:13And it kind of makes you know look, they've planned this out.

14:15This stuff has got a very strong lead in Maxie.

14:19If you're asking for something, if it's not on this list, it's probably not coming until the end of next year, because the stuff that needs to get in this list is only getting longer

14:26So it's really good to see that roadmap.

14:28Now, a couple of other things we saw in this section.

14:31This is stuff they're probably going to announce in 24.

14:342 or in the next release.

14:35So Cloud Manager.

14:36The ability to have multi-site capability across Tableau Cloud powered by something called Hyperforce.

14:42I have no clue what Hyperforce is.

14:44I don't know if it's a brand name within Tableau, if it's an AWA capability, but

14:49They reference AWS as being the capability that runs this, and it's essentially a way of distributing your Tableau Cloud sites across different locations around the world.

14:5816 pods they mentioned in

15:00the keynote but having a central cloud manager where you can distribute your licenses to each of those sites so that's really the capability we see in Tableau Server for multi-site

15:10site environments.

15:11Again, really good to see that.

15:13We also saw a couple of capabilities around Viz extensions, essentially the ability to build visualizations using visualizations

15:20additional extensions that you can get in the marketplace.

15:22I'll cover this in a separate video because it really does need that.

15:25But if you haven't done so already, check out my short video on LinkedIn and uh Twitter showing you how this works.

15:31Literally in one minute 23 seconds I'll build

15:33an amazing viz.

15:34But as many people are calling out, look, just because you can doesn't mean you should.

15:38So we'll get into that a little bit later on.

15:40Okay.

15:41So that really was the end of the wave three piece, this sort of innovation statement saying, look, we're innovating right now as we speak.

15:49Here's what we're delivering on, and here's what's on the roadmap, and here's what's coming

15:53And then we took a turn.

15:54Now I didn't think Tableau would go down this route.

15:57And for the first time we saw someone called Southern Jones.

16:00Now, if you don't know who this is,

16:01This is the product manager of Tableau.

16:04Essentially replaced Francois Argenstadt, who was on the live stream, by the way.

16:08He dropped into the live stream just to let us know that he misses the dates, fam.

16:11And the great thing about this was it's the first time we've seen him, which I think has been a deliberate move.

16:17Don't introduce the chief product officer for this new vision until, you know, they're ready to show something.

16:23Because what you want to do is represent some

16:25someone new, someone different with an and and have that new product associated with that person.

16:30So I think it was very interesting.

16:31And he even made a point.

16:32Hey, this is my first time standing up here talking to all of you.

16:35And it really came out punching.

16:37And in order to set this up, Ryan had described four key problems.

16:42So the four key problems he listed, in fact, I can't remember all of them.

16:45I'm not going to pretend to know.

16:46them i'll put them up on screen but to be honest with you these are the four problems that people have been complaining about i think the one i go on about is the inability to reuse assets in fact i made a video now i don't know how long ago

16:58calling the ultimate version of Tableau.

17:01And in that video I actually talked about the problem of Tableau, which is you can't reuse assets that you have.

17:05And I talked about breaking Tableau down and

17:08it's into its components and being able to bundle up what you want from that bunch of components.

17:13And so this is exactly it.

17:15Sort of composable analytics.

17:16Being able to take pieces from where you need it.

17:19Putting it all under one roof, making it work with one cohesive interface, and then making it solve business workflow problems that have typically existed.

17:28So

17:29This idea of them being able to use the platform to actually take action immediately was a really really powerful element.

17:35Now they showed some radical designs for this next

17:39bit so we'll call this the fourth wave this is essentially the wave that wasn't mentioned before but was the piece about vision in this section

17:47There's just so much to unpack here that I think I have to cover this in a separate video, but go and watch this section for yourself.

17:54I'll try and leave a timestamp for it in the comments.

17:56I'm gonna need to put a lot of timestamp in the comments

17:59Because I think it's really important to see this for yourself and how it's narrated and how it worked.

18:04But it's very much Tableau as we know it today, sort of deconstructed right to its bare bones, and then that core taken out and put into a brand new interface.

18:13with the brand new paradigm of how people collaborate and a brand new paradigm of how people share and solve business workflow challenges in the flow as it were.

18:22So really really important element of the keynote.

18:24I can't stress it enough.

18:25Just go watch this

18:27I've probably had uh shots up on screen as I'm talking.

18:30Um but yeah you have to see it to sort of really understand what it is.

18:33So um I encourage you to go check it out.

18:36There was another product manager who got up on stage and sort of talked to some of these points as well.

18:41So be sure to check out sort of their bits as well because I think this has been a really cohesive

18:46sort of long thought-through plan.

18:48I've actually heard discussions of this sort of being discussed a long time ago.

18:52I can't really go into like, you know, those discussions as it were, because I'm obviously under NDA, but

18:57I was really pleased to see this finally getting into sort of the public domain and people really sort of starting to see where this thinking is going.

19:05It is bold, it is radical, it will sort of shift people's perspective on what they think is right and wrong

19:11It's not going to make everyone happy.

19:13But the first opportunity to see it in earnest was apparently Dreamforce.

19:17So Dreamforce in September is where you can see this working for the first time.

19:21Which makes it interesting.

19:22It could really be a repositioning of Tableau as a Salesforce product squarely from Salesforce.

19:28So that will be something

19:29Cool to watch.

19:30So look out for Dreamforce in September.

19:32It's not long away.

19:33Okay.

19:33So the final bit, we all know this bit, devs on stage.

19:37Let's tuck into that.

19:38Okay, for devs on stage, I'm gonna do this slightly differently.

19:40I cannot go through every single feature

19:43They covered so we'll have to do a separate video breaking this down, but let's do a whistle stop tour through it here.

19:49I've got a video up on my laptop, so we're gonna go through this and just quickly scan

19:54the features and I'm going to walk you through and talk you through and kind of use this as a prompt to remind me what was actually in this session.

20:00So if we kind of go ahead, um Matt Miller normally uh sort of runs this um in the last

20:06few years before this it's actually been Francois but because Francois's no longer with us and so that is kind of new um Matt has really sort of stepped into that sort of product feature

20:17sort of product experience element of showcasing features.

20:20So he comes up, opens up devs on stage, gets the crowd excited and introduces the four devs here today.

20:26that kind of went through each of these features.

20:27Now each one of them had a sort of different role, different audience to please.

20:31And I like that mechanic because it kind of explains to you that look, this person is going to talk about this sort of group of capabilities.

20:37And it just keeps it fresh and gives us sort of a wider variety of perspective.

20:40perspectives as well.

20:41So if we kind of uh move forward, um Sophia sort of stepped up and actually gave a nice story about her background.

20:48Um she's into aviation and she sort of set up an example and she went to Tableau Cloud, I think in this instance

20:54and introduce the cockpit, the tableau data management cockpit.

20:58Now, this is a data management cockpit, so it's not going to be free.

21:01You have to have the data management add-on, I think, for have to have this.

21:04But

21:05It gives you visibility of what's essentially in your Tableau cloud environment, which is kind of nice.

21:09Um it's a very simple, it's a simple thing to do.

21:11It's a nice dashboard and it's built well.

21:13You could probably build this yourself, but

21:15I think in order to do this, you do have to either use the metadata API to kind of extract this information and generate it, or set up really good data sources.

21:24And I don't think it's as easy to set

21:26these up so having it out of the box is kind of nice if you already have the data management add-on if you don't maybe someone's going to make a version of this that you can use

21:35And then um having done that, she kind of went into the next step.

21:39She was walking through visualization and in here she wanted to sort of get some help cleaning some data.

21:44So she went into

21:46uh tableau prep and uh she pulled out what I think was unsigned copilot so you can see it here on the bottom right uh just over here where my mice cursora is up

21:54I've just clicked on it.

21:55Um, you'll see Einstein co-pilots that are giving her some tips.

21:58And so if we kind of try and play this through, you'll see that it comes up with four steps that she can do some data analysis with.

22:04And as she clicks on these,

22:06It actually goes ahead and does the uh analysis.

22:09You can see it sort of building out the analysis on screen.

22:12And so she's not built this, she's just clicking the prompts, and they're coming in and doing this for her.

22:16So that's a really uh good touch.

22:18And then um she kind of went into the next bit in Tableau Prep where she talked a bit about sentiment analysis in Tableau Prep native with a nice Tableau Prep interface.

22:27I mean this Tableau Prep

22:28interface is just really really good.

22:30If there's anything they take into the new version of Tableau, this is the one thing I want them to take because it really helps you visualize the challenge and the problem you're trying to solve.

22:39And this kind of philosophy

22:40Hugely going to help new audiences understand what they're trying to do in the product.

22:44So really, really nice to see that.

22:46Then she went into a viz and she went into build a data set and she announced that you can now join published data sets

22:54Largely because multi um multi-fact uh analysis is now possible with the data model.

23:00So those two things kind of had to be solved at the same time.

23:02That's kind of the reason why it's taken this long.

23:05You can't do multi-factor analysis if you don't solve the problem of published data sources because you then create sort of other more challenging problems uh up and downstream.

23:14And the demo she gave was pretty nice.

23:16She kind of walked through bringing in two published data sources, linking them and relating them and then adding a third piece of information to them.

23:23And having everything propagate so when one updates, the whole entire thing updates, which is really, really nice to see.

23:29So that being added to the platform, so so good.

23:32Um and so you can see here a larger version of it.

23:35And then um she went into um

23:38Tableau Cloud, and she had Einstein write this description.

23:42So she's not writing it, she's just using it to write the description.

23:45So this idea of having

23:46better quality metadata throughout the system enhanced by AI writing those descriptions for you so people sort of don't have to spend the time doing that laborious work.

23:55And then she edited the hervis and then we went on to Celine, who then came up and did uh something for Tableau Public.

24:02So let's go ahead and keep pushing through.

24:05She introduced new chart types.

24:06Now, this was great because what she did was sort of really tee this up and she kind of gave some really, really nice capabilities.

24:12I think she was really speaking to the analyst audience here.

24:15Um so if we kind of step step ahead, Viz Extensions, I've mentioned it already.

24:19She showed how easy it is to customize this.

24:21And then she kind of pushed forward and she mentioned a mapping parameters.

24:25It's a parameter, I think it's parameters, parameter actions in mapping specifically, I think, is a specific feature.

24:32Or or mapping parameters.

24:33I don't know which one of those two it is.

24:35I don't know enough about it to know the answer.

24:37But that was actually pretty good.

24:38And then she walked through a demo of how that works.

24:41I think I have to play with this to really understand it.

24:43And then something that was really easy to miss was the peace and accessibility.

24:47uh the ability to navigate maps and navigate all of the tableau interface using a mouse and keyboard.

24:52This is a new enhancement.

24:54Tablet keep pushing the accessibility sort of discussion forward.

24:57I am so bad at this.

24:58I'm supposed to have discussed this.

25:00I've just remembered I'm supposed to have talking to Ron about accessibility and I haven't gone back to him.

25:05So I need to I need to go and do that.

25:07Ron is a member of the community for context, so um you'll find out who he is when we actually do this session on accessibility.

25:13Um and so if I push forward uh here, keep going, I think she comes back

25:18And what she does here is something that's been asked for for such a long time.

25:22Uh, themes and style sheets within visualization.

25:26So you can see here that she's built this.

25:28And if I go forward a bit, you'll see that she's then able, oh, actually, no, she didn't do that.

25:34First, she actually introduced fonts.

25:35I completely forgot about fonts.

25:37That's just another another thing they added.

25:40I forgot

25:41But you can now pick for I think it was twelve or twenty fonts from Google Fonts in this list.

25:46So a much bigger set of styles and sort of capabilities.

25:50You know, Google Fonts has been around for literally years at this rate so for Tableau to add it now.

25:56Kind of embarrassing, if I'm honest

25:58But hey, we're here and it's being done, so this is good.

26:00I actually suggested this to a product manager like seven years ago, I think, at this rate.

26:04It's so old, but anyway.

26:06Um good to have it in there.

26:08Now, what she did then shows this this capability here.

26:11So you can see it's one color and then everything gets changed to another color.

26:14And what she was doing there was accessing, I can't think, I there you go

26:18um themes, custom themes.

26:20So being able to import a theme from a file and having it applied to the Viz.

26:23She did this a couple of times just to show off.

26:25You know, really sort of making the Viz look entirely different.

26:28And this is saving you minutes and minutes of work.

26:31And then she handed over to her colleague who came to talk a little bit more about Tableau Cloud.

26:36And here, these were sort of some more nuanced features.

26:39So the idea for

26:40um uh tableau to read attributes from your identity store so then being able to apply certain capabilities automatically because those attributes speak to those capabilities so that's

26:51Really, really nice.

26:52Um, we then, if I fast forward, um now I don't know if this was a translation uh capability or

27:01The data set already had this translation.

27:03You can tell me what you think.

27:04But in the keynote, I didn't I didn't see them call this out as translation.

27:09But you can see here, one slide it's in English.

27:11Next slide is in Portuguese because she's actually from uh Brazil.

27:15So she speaks Portuguese or she thinks in Portuguese.

27:17And so this is something she showcased.

27:19And there's an icon there with the world

27:22button.

27:22So I wonder if this is the parameter action switching out the dataset and the attribute is actually driving that parameter action or not.

27:28But anyway, we don't know.

27:30And then she then showed how you can put Tableau Pulse inside of dashboards.

27:34We've kind of seen this before, but this is really sort of showing the execution of that in real terms and being able to customize it and choose it.

27:40and choose what part of that uh Tableau Pulse sort of capability you want to see.

27:45And then she sort of put it back in and then they announced

27:49Earlier on they announced a closer partnership with Microsoft, but here what they did was they essentially showed you putting this information into

27:57uh Teams, which is really nice to see.

27:59Um Teams has sort of been a second citizen because of Slack, but now really announcing that closer partnership with Microsoft means they can get things like Microsoft Fabric into Tableau

28:08but also get teams integration a little bit more seamlessly done.

28:12So I think these kinds of partnerships are great.

28:14You never want to be in um

28:16you know partnering with your competitor but actually your customers don't care if your customers are using teams in your tableau you're gonna have to build a good integration with teams because otherwise it starts to become a frustrating experience.

28:27So I th I'm glad to kind of see that happen

28:29We got a little bit more on VisQL data service and sort of how it's capable of working across different systems.

28:35And then we went over to this final section, which was actually for the first time.

28:39Tableau showcasing the work of other developers in the community uh in its own products.

28:44So this was this was really good.

28:45I mean, we we got to see sort of three very radical uh experiences.

28:51We had this AI search tool

28:53that was able to index content on a tableau website.

28:55We had Figma to Tableau by Jessica and um um

29:00Tristan from La DataViz.

29:03So this is very like this is so refreshing to see because you don't often get tableau showcasing sort of these kind of edge case items.

29:11So for them to really step into this kind of signals that hey look.

29:15The kind of Tableau, you know, the kind of partners Tableau wants going forward are t partners that build on their platform.

29:21And that's really sort of what this says to me.

29:23In the past, you might have had like a

29:25uh you know like a accenture type or someone saying hey we're really good at delivering this come talk to us we can help you now it's actually like hey what are you building what are you adding to our platform and that's what Tableau is leading with

29:36And then we had Merlin talk about Super Tables, which is an amazing capability.

29:41And then at the very end, um, they snuck in this uh discussion.

29:46about um applesilicon and tableau.

29:49Now I actually talked a bit about this earlier on already, so you can kind of pretty much take this uh you know as is.

29:56He Matt Miller did say look it runs 25% faster 50% faster.

30:02I don't know 50% faster than a Windows machine or 50% faster than it previously did.

30:07When it was not an Apple Silicon.

30:09So it's a really hard one to know.

30:11Like what's the benchmark there?

30:13But then, you know, Ryan announced uh Tableau is coming back to San Diego next year.

30:17And uh obviously I mentioned Dreamforce.

30:20He kind of capped it off.

30:21And then uh yeah, we went on to the end of the keynote.

30:24So poof, that's been a whistle stop tour.

30:26Man, I don't I like I tried to summarize this really, really hard, but I think we're at like 30 minutes

30:31I genuinely did try to do my best.

30:32If we're under 30 minutes, I like fantastic.

30:35If we're a little bit over, I'm sorry, but I really did try to summarize it.

30:39We've got a lot to cover over the next couple of weeks.

30:41I'm gonna take my time.

30:42Literally, there's a lot to cover, so I'm gonna try and do maybe one video every other day just to get through

30:47all the features it is a slow way of doing it but you know everyone out there you all know how to find out this stuff you all know how to sort of get these features going

30:55Um, I'll just be sharing my experience in small sort of bytes on, you know, LinkedIn, Twitter.

31:00So you can kind of follow those for more real-time updates

31:03And then when I really have the knowledge I need, I'm going to sort of put something out.

31:07I really want to be conscious of, you know, respecting the fact that some of the things were not actually announced at this conference.

31:13So we're yet to see them.

31:14So I want to kind of pass the most important ones.

31:17So for those, Viz extensions are going to be one of those and then multi-fact um analysis and the ability to sort of bring together published data sources, going to change the world.

31:28So thanks for watching, and I'll see you in the next one.