0:00Conference is in 24 to 48 hours depending on when this video goes live.
0:04What I wanted to do is do a very quick recap of last year's conference and then I realized something really interesting.
0:10Since the last conference, we've actually had what I would call other presentations that actually fill the gap in between last conference and this conference.
0:18So looking back at last conference is a bit of a funny thing because actually we've heard a lot more from Tableau since then.
0:24But what I think is we're
0:25worthwhile doing is just reflecting on what we saw, what are the features they said they were going to bring this year.
0:30Did they actually ship them?
0:31What did we see in devs on stage and did they ship them?
0:33those features that's what I think is valuable here today but it's also a really good way of just rationalizing the context of the keynote itself and how they structure it
0:41I'm gonna do that with these glasses.
0:43I I don't actually need glasses, but these are meta ray bands.
0:46I'm gonna be wearing them throughout conference.
0:47So I wanna get you used to them as well.
0:49So you you get used to me wearing glasses because I think I'm still getting used to it.
0:53But they're actually really good.
0:54They record what's known as a
0:56uh POV a point of view uh perspective using the camera which is on this side and then the lights on this side.
1:02So once they're on and switched on I can sort of hit this button here
1:05they start recording.
1:06I'm essentially filling time because I'm waiting for them to come on.
1:10But now that they're on, when I press and hold this button, they start recording.
1:13You see the light and this is what's going on.
1:15So I'm going to record a POV of this for the first few minutes.
1:17Put it on the bottom left so you can see what it's like.
1:20Um here are my notes from the summary.
1:22So this is actually my notes from the summary of the summary, if that makes sense.
1:28I put it through an AI um tool to kind of just give me this
1:32bullet point list very very quickly based off my transcript.
1:35Um great use for AI works every single time.
1:38But anyway um
1:39We had the introduction welcome from Ryan.
1:42We had this, you know, classic Salesforce setting, that's all good.
1:45We had a bit of a call out to the Tableau community.
1:48We had a call out some of the visualizations as well, which was really, really nice.
1:54We had some announcements around local file saving for Tableau Public.
1:57I think this was announced at the conference itself, so it actually means that you can essentially have
2:02um Tableau Public save to your desktop rather than having to save to Tableau Public, which essentially means this is the free version of Tableau.
2:09Only restriction is you can't write to databases or read from databases.
2:13So a couple of other restrictions, but those are the main ones.
2:15Anyway.
2:16We then have the classic Salesforce alignment to company values and growth.
2:21That's pretty standard for actually all Salesforce presentations.
2:25They always come back to those values.
2:27I think it makes sense to do that if you're a company that's really you know grounding yourself on values.
2:31And then we had um the four waves of analytics and this was more just a narrative around how things have changed over the years, the different sort of contexts from those specific changes.
2:41And so they set out the structure of the keynote by essentially saying, hey, we're going to touch on innovation that we've delivered so far.
2:46these first three waves we're then going to show you the vision for the fourth wave then we're going to end on devs on stage so that's how they set this up so the first section was the innovation showcase we had tableau pass take up a lot of the time because back then that was a new thing then they had a bit of
3:01Time on Einstein Copilot for Tableau AI system, blah blah blah.
3:06That's now called Tableau Next and Tableau Agent.
3:08So Einstein Copilot as a brand is pretty much gone since last year
3:12We then have this slide with 140 new features.
3:15If I actually just double click this and we uh sort of um let's make this larger so we can see this.
3:20Um if we go through this list
3:22It's fair to say that all but one of these has shipped.
3:24So I think the only one that hasn't shipped is composable data sources.
3:28But I think everything else has shipped.
3:30Resource monitoring improvements.
3:32I don't know enough about that detail to be able to say yes or no, but
3:35I think that has actually shipped.
3:37It's just maybe not shipped.
3:38Um, you know, i i in the i in the limelight because it's not a it's not a sexy feature, it's uh it's a server feature, so it it wouldn't have um gotten a lot of attention and a tableau
3:48Cloud doesn't really need resource monitoring because essentially it's it's managed by a tableau, so you you wouldn't need it.
3:53So it would it would be a server feature in 25.
3:561.
3:56I'm not entirely sure it has shipped though.
3:58So everything else has pretty much shipped
4:00Which is good to see.
4:01Composable data sources.
4:03I think what might just be going on here is that it it it's essentially just um you know, it just missed a ship point by maybe a release or two, so we might see it in 25.
4:112
4:12but nonetheless whenever we say it that's going to be good so um let's go through we talked a bit about tableau cloud on hyperforce hyper
4:21Salesforce is just a technology in the Salesforce ecosystem that allows them to run a lot of different tools on their platform.
4:27So think of it as the underpinnings of how they run Salesforce.
4:30Okay.
4:31Then we had a couple of live demos.
4:32We had Tableau Cloud Manager, Einstein Copilot for Data Analysis and Visualizations, now called Tableau Agent.
4:38We had Tableau Pulse for real-time metrics and insights, a bit of a demo there.
4:42And then we had Viz extensions with the Sankey chart as well on stage.
4:45Really, really cool.
4:47So um having done that, we went
4:49Back to the vision piece.
4:50The vision piece being hey look, these are the four challenges we see.
4:53So just very, very quickly, uh challenge number one, data landscape is large fragmented.
4:59Number two, users don't trust the data
5:01uh insights are overlooked or ignored and you can't reuse what you built.
5:04So they said look these are the four problems and they spent a bit of time going through how they're going to solve each of those and they essentially showed us Tableau next
5:12in response e to those.
5:13So at a high level, tablet next, the answer to these specific uh questions.
5:17And I actually, you know, uh no one would disagree with these problems.
5:20I I I think everyone thinks if an analytical solution solves these problems
5:24in a good way that's all that's that's that's gonna be fine.
5:27What I realized now on reflection is we didn't pay too much attention to how they were gonna do this.
5:31We kind of just assumed that they were going to use the Tableau IP but it turns out
5:35A lot of this was going to be underpinned by Data Cloud and Tableau Semantics, a completely different architecture that frankly is new to the Tableau community, but is not new to Salesforce.
5:44The other thing is that the Tableau brand has now become more synonymous across Salesforce.
5:48So when you hear Tableau, it doesn't necessarily mean the
5:50Tableau, you and I know today it can mean capabilities uh in Salesforce that are related to analytics.
5:56That is now the new way to think of Tableau the brand rather than Tableau the product.
6:00Okay, so let's go ahead and close this.
6:02Um
6:03We went through the different sort of demos and then we hit devs on stage.
6:07We had data cockpit.
6:09I'm not sure this is shipped, but I think the data source behind this is shipped.
6:12So the cockpit was pitched as a dashboard
6:14But I'm not sure that was actually sort of clearly delivered as such.
6:17I think it was actually the data sources behind it that actually made that more of a reality.
6:21So again, I'm not 100%
6:23sure on the on the cockpit.
6:25Einstein Copilot for Prep.
6:26We saw a demo where um Tableau agent inside of Prep was able to basically, you know, do step-by-step analysis of what you needed to do.
6:34That has not come to pass yet, and neither has sentiment analysis in prep.
6:38So really curious where those are.
6:40There has been a little bit of quiet on the prep front.
6:43I'll just take this moment here and just say Tableau Prep is my favorite tool in the Tableau ecosystem.
6:48banan.
6:49The the features and the interface and the UX in that product are next level.
6:54They are just they just knock out anything in the Tableau desktop ecosystem by a country mile.
7:01The team
7:02that built Tableau Prep, the team that works on Tableau Prep, like just you know five-star generals in terms of what they build and the UX and the way they ship that stuff
7:11Like if I could I would make Tableau Prep the heart of the Tableau ecosystem.
7:16I'd shove it into the desktop connect window, get rid of the connect window, and just make it the modeling capability of Tableau.
7:22Anyway, little eulogy done
7:24Let's carry on with this.
7:26Composable data sources.
7:27We saw a demo of this.
7:28That's how we know it hasn't shipped because we haven't seen that feature yet.
7:31Viz extension has shipped, spatial rampers has shipped, accessibility improvements have shipped, and I think there's more to come
7:37Ne fonts have shipped, custom style themes are there's AI to uh you know doing a type of there.
7:43That's the only one I've seen so far.
7:44Custom style themes
7:45easy application for of consistent visual themes that has shipped um just shipped by the way 251 attribute based membership that has shipped
7:53I think it was one of the first things to ship in 2042.
7:56User attribute functions has shipped.
7:58Uh enhancements of this have shipped for some time.
8:00VizQL data service has shipped community built solutions.
8:04Um and this was actually a demo.
8:06So this community built solutions were actually a demo.
8:08built by other partners showing what they could do.
8:10So these were kind of all built and designed.
8:12So we've had Super Tables on the channel.
8:14We've had um you know uh Tristan on the channel not to talk about Figment to Tableau but to talk about Viz extensions.
8:20But we briefly touched on Figmented Tableau in one of those discussions.
8:23We kind of did like three separate videos.
8:25Um, power KPIs I should get the guys from InfoTopics to come and uh talk about power KPIs a bit more.
8:30Then you have uh Tableau and Apple and on Apple Silicon.
8:33That's also shipped.
8:34I use Apple Silicon, like this is the best experience of Tableau.
8:37So Tableau Prep.
8:38on Apple Silicon Chef's Kiss, the smoothest, butteriest experience of Tableau anywhere.
8:44Even better than the browser, probably because it's the same technology, but
8:48Genuinely gently, Apple Silicon uh Tableau, love it.
8:51And that was pretty much the conference.
8:53Obviously, it's coming back to San Diego.
8:54That was announced last year.
8:55Then we had Iron Viz Daytime and all of that stuff being sort of suggested.
9:00So
9:01That is a rundown.
9:03Did not take five minutes.
9:04We did 10 minutes there.
9:05But that was a rundown of what was announced last year.
9:08I think it's super interesting.
9:09like fifty to sixty percent of the stuff, um, we shouldn't see again because, you know, we've already seen most of it and even since conference
9:17We've also seen uh Tableau cover pretty much a lot of the gaps that we've needed to fill since then based off what we saw at conference.
9:25So what I'm hoping for this year
9:27is a little bit of a push into the next year and actually seeing hard dates to some of these visions, you know, hard dates to some of this announcements.
9:36And also maybe
9:37PATs and uh you know, additions and uh capabilities to allow people in the Tableau Core ecosystem to try some of the new stuff in the Tableau Next ecosystem.
9:47They're very much two ecosystems.
9:48They don't seem to be
9:50uh built off the same architecture.
9:51But there is very clearly a path where data cloud is something that someone who uses Tableau Cloud can use.
9:57And there's also very clearly an ecosystem where
10:00you can connect to your data sources in Tableau Semantics which is over in Data Cloud and very easy in Tableau Desktop.
10:06So there is overlap between the two.
10:08It just it's just isn't as obvious and intuitive and I think conference needs to really spell that out.
10:14That to me is the biggest thing missing.
10:16What on earth do I have to do with my data sources?
10:18to try out these features.
10:20Right, that's it.
10:21I'm gonna cut my video short here.
10:23This is all I've got time for.
10:24This is actually the last video I'm recording before I pack up my desk and we go to conference.
10:29I'm trying to try and go to conference with one bag as well as my camera and everything else.
10:33I think
10:33Packing light is is such a such a useful thing.
10:36It just makes it very easy to be portable.
10:38So um I'm gonna try and do that.
10:40We're only there for five days
10:41So yeah, if you see me uh with a bag, that's probably the bag I travel to America with.
10:46Um so yeah, come find me, come say hi.
10:48Uh I can't wait to meet all of you.
10:50Uh thanks for watching.
10:51We'll see you in the next one.
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