0:00Hey, it's him here in today's video. We're
0:01answering the question who is Tableau Pulse
0:03for?
0:04Whatever, let's get stuck in now to answer
0:06this question
0:07I actually don't need any sort of screen
0:09recording going on
0:10But I'll have Tableau Pulse in front of me
0:11just in case we need to go to it because I
0:13think it might be useful
0:14context
0:16To answer this question
0:17I think it's super important to go back a
0:19few months because I think the
0:21Writing has been on the wall that this was
0:23always going to be the direction that Sales
0:25force took in one way or another
0:27but at the same time I don't think anyone
0:29could have predicted the you know
0:31resurgence of AI in
0:33Every single piece of technology on the
0:35planet this year if your tool or piece of
0:37software doesn't have AI in it
0:39You're basically behind the curve to the
0:41point where even big companies like Apple
0:44are struggling to get this kind of
0:45capability
0:46into their devices because of the way they
0:48build products and so AI has
0:51completely changed the game in terms of
0:53what
0:54Companies are talking about and the
0:56features that they're putting into their
0:57products
0:57primarily because I think they're trying to
1:00please the market they're trying to please
1:02the
1:03investors and the
1:04expectations of their customers because
1:06their customers are hearing about AI and
1:08all the great things that can do and so
1:10people are looking to
1:11Have these features in their products now
1:13If we go back a bit more there was already
1:16some change happening in the background in
1:19terms of Salesforce
1:20Turning Tableau into the product it wants
1:22it to be and this change is actually a lot
1:24broader and it goes right back to
1:26What I would say changes in terms of the
1:28way the leadership is working changes in
1:30terms of the way
1:31Tableau is run and then finally the product
1:35placement of Tableau
1:36It's sort of a finesse and you have to be
1:37really paying attention to the long story
1:40I'll try and make a video of this, you know
1:42to try and cover the nearly four years now
1:44that Salesforce is own Tableau
1:46but it's a very careful managed journey and
1:48Salesforce is quite good at this Salesforce
1:50is very good at acquiring companies and
1:52Getting what it wants out of them and
1:55changing the sort of course
1:57I think it's it's it's something that a lot
1:59of people who worked under companies that
2:00have been acquired by Salesforce have said
2:02and
2:02I think we have to be clear that when Sales
2:05force bought Tableau
2:07They definitely had a vision and that
2:09vision maybe wasn't necessarily the one
2:11that Tableau was on
2:12When it was acquired and the journey the
2:14Tableau is on when it was acquired was
2:16essentially a journey to the cloud
2:18We had Adam Solipski
2:20He was previously at Amazon
2:21Came to be the CEO of Tableau then went
2:24back to Amazon and Andy Jesse took the role
2:26of Jeff Bezos when Jay
2:28Faisal stepped down
2:29Adam Solipski then took Andy Jesse's role
2:32at back at Amazon
2:33So Adam's lips he went back
2:35But the journey the Tableau was on was
2:37always about going to the cloud and moving
2:40its capabilities towards the cloud and to
2:41be fair
2:42That makes sense. It is one of the biggest
2:44criticism of Tableau
2:45especially in the general analytics fear a
2:48lot of a lot of people will critique the
2:50fact that Tableau isn't crowd cloud ready
2:53and
2:53Yet at the same time Tableau will get a ton
2:55of stick for not having certain
2:57capabilities inside a Tableau server the
2:59non cloud version and so
3:01It's a pretty hard shifter to manage but
3:04nonetheless
3:04I think Salesforce were always going to
3:06push Tableau's products towards the cloud
3:09Because in essence if you look at Sales
3:12force, it's a SaaS platform
3:13Everything runs in the browser everything
3:15runs on the platform
3:16It just makes it much easier for Salesforce
3:18to control the way it manages the whole
3:20Setup having this product that kind of goes
3:22against that was definitely going to be
3:24something they were going to change over
3:26time
3:26Does it mean they're gonna get rid of
3:27desktop? Not really
3:29I don't think that's ever the case
3:30But I do think the way Tableau desktop is
3:32built will
3:33Fundamentally change and it'll work very
3:35similar to the way Tableau prep work
3:36You might think that Tableau prep has a
3:38desktop version but in actual fact, it's
3:41running web code on your desktop
3:43It's not running sort of native
3:45Desktop C sharp or whatever C++ code on the
3:49laptop
3:50It's running something called electron in
3:51the background to actually run the
3:53interface and give you that desktop like
3:55experience
3:56But it's actually just in the browser,
3:57which is why you get feature parity with
3:59the browser version
4:00It's the same code just doing different
4:02things in different places
4:03now the
4:06Next question to answer is the tea leaves
4:08that were at previous
4:09Conferences at the last conferences the
4:12last two conferences Tableau been very bold
4:14to say that look
4:15We've had a strong legacy 20 years serving
4:18this particular audience, but the job is
4:21not done
4:22There are this massive wave of people
4:25across this chasm. I'll put the graphic up
4:27on screen that are not being served and
4:29So what Tableau had think has been saying
4:31for the last eight years very clearly at
4:33conferences that they're moving on
4:35they're moving on from serving what we
4:37would call their traditional user base the
4:40dashboard builders and the moving on to
4:42address the
4:43consumers of those dashboards
4:45They want to build a product that the
4:46consumers of those dashboards
4:47Can use and that is in essence what Tableau
4:50pulse is for Tableau pulse is trying to
4:52address that need
4:53Well, there's a huge problem. And this
4:56problem is essentially this
4:57Tableau has spent 20 years marketing to
5:01this legacy user base and this legacy user
5:04base is
5:05the desktop audience the server audience
5:07and
5:07With Tableau pulse, they have a product
5:11that is sort of spread across these two
5:13user bases on one hand
5:15It requires the creators who have that
5:18license to build these metrics explorers to
5:21build all these metrics metric definitions
5:23Get the data in shape to make it work
5:25and by the way
5:26they have to do that inside of the tablet
5:28platform using publish data sources and a
5:30couple of other factors and
5:32You know in some places those features are
5:34still lacking those features are still
5:36things that people want to see more of and
5:38I know I'll
5:38Say that and people ask on what features
5:40but really you just have to use Tableau
5:43every single day and I'll be upfront and I
5:45'll say
5:45There is a large body of Salesforce product
5:48managers who've not lived with the products
5:50for longer than five years
5:52And if you have lived with the product for
5:54that long, you just know where those edges
5:56are
5:56You don't need to ask that question
5:58And so a real sort of thing we're gonna see
6:00over time is this Tableau develops Tableau
6:03pulse
6:03Are they going to bring some of those?
6:06product knowledge items that you should
6:08know things you should know about the 20
6:11years of Tableau into Tableau pulse and are
6:13they gonna
6:14Make that work, but nevertheless that's
6:16getting sidetracked going back to this
6:17point about who tableau pulses for
6:19Tableau now has to market to the consumers
6:23of dashboards
6:24And yet they've never really had a channel
6:26or a mechanism to market to those people
6:29and so Tableau pulse fundamentally
6:31I think is for everyone who's been
6:34consuming dashboards once the ability to
6:37Control the metrics that they get they want
6:39to be able to choose the cuts choose the
6:42levels and they really don't care about
6:45Dashboards, in fact all dashboards are is
6:48they present them with a way to basically
6:50extract their data
6:51And that's I like let's be honest here if
6:53you built the dashboards the like
6:5590% of the time people are just right-cl
6:58icking
6:58Exporting the data. I know people lock that
7:01down, you know, you try and build better
7:03features, but in real terms
7:04I think there's a large body of people who
7:06just haven't warmed up to dashboards
7:08because of that exact fact
7:09It doesn't give them what they want and in
7:11essence. I think Tableau pulse is trying to
7:13address that now
7:14Is Tableau pulse original?
7:16Absolutely, not. Have you seen something
7:19like Autrix auto insights? You could almost
7:21argue that Tableau pulse is a very good
7:23clone of that
7:24There are also similar ideas outside in the
7:26analytics space
7:27people coming up with lots of different
7:29ways if you go to dribble and look at the
7:30way that
7:31UX designers are visualizing analytics dash
7:34boards a lot of the thought that it's not
7:36original but it's been applied to the Table
7:38au platform and it
7:38Comes with the benefits of the Tableau
7:40platform and that is absolutely original
7:42thinking that Tableau has
7:44It's a USP of Tableau the platform and the
7:46fact that they already uses using it
7:48And so if we try and tie all of this
7:51together into sort of one big narrative
7:53Tableau is in essence trying to stay
7:55relevant
7:56AI has caused this mega shift towards the
7:59space that no one really has any advantage
8:01in and
8:02You can't really sort of fall behind and so
8:04where AI is helping Tableau is it's able to
8:07sort of pull forward some of these insights
8:09That are really hard to get to and make it
8:11easier for people to access them
8:13The biggest beneficiaries of those are
8:15going to be the consumers of dashboards the
8:17previous consumers of dashboards the
8:19previous consumers of reports
8:21They are who Tableau pulse is really geared
8:24at but and this is the big but it needs
8:26creators and developers
8:28To build these metrics. Well, make sure
8:30that the data models behind them are
8:32working and functioning well and
8:34Big critique I've still had with Tableau
8:37pulses this are the tools that those people
8:40have good enough
8:42sufficient enough to actually allow them to
8:44do that job at scale because if I go back
8:46to Tableau pulse and
8:48I go in here to create a new metric
8:50definition
8:51The breadth of what you can create. In fact
8:54, let's not create a new metric definition.
8:57Let's go to an existing one
8:58Let me go to browse metrics and I'll just
9:00take one of these metrics. Okay, this is
9:02this is
9:02One data source a superstore you all know
9:06superstore. I've created two metrics
9:09Okay, and two metric definitions profits
9:11and sales and over here on the right-hand
9:14side. I have related metrics
9:15Now here's the kicker if I go into profit
9:19and I edit this definition
9:21It's one definition that easy but depending
9:24on the number of dimensions I have
9:27The number of possible outcomes is actually
9:31crazy
9:31If you just think about it for two seconds
9:33every category multiplied by every sub
9:35category
9:36Multiplied by every city by region by
9:38product by customer name
9:39the possibilities are endless and so people
9:42are going to create an absolute sea of
9:45metrics and
9:45One thing we've not really had is the
9:48ability to check the data at that scale
9:51And the only real tools that sit, you know,
9:54really capable of doing that are actually
9:56outside of the Tableau platform
9:57Yes, Tableau prep can go into that level of
9:59granularity and allow you to sort of do
10:01everything you need
10:03Yes, Tableau desktop has been the place
10:05where this has all been done and we've got
10:07the data model sort of being enhanced but
10:08There's still something missing
10:11There's still something
10:12Missing to allow us to be able to you know
10:14Track things like lineage from here all the
10:16way back into the source data systems
10:18Make sure that we're getting metadata from
10:20all of these metrics coming back to us and
10:22saying hey
10:23These are the most popular combinations of
10:25this metric definition along with these
10:27dimensions
10:28I want to make sure that all these aspects
10:30work and everything is going to work well,
10:32so
10:33Maybe I'll worry for no reason but in my
10:34experience
10:35I've worked with so many companies that
10:37think they have a handle on their data and
10:39Fundamentally actually they realize the
10:41scale of the challenge and their
10:42aspirations
10:43Well, they far exceed their capabilities
10:45and that's why I'm a consultant because we
10:47get brought in to help fix those problems
10:49and
10:50Tableau pulse it doesn't address that
10:52problem
10:53In fact, it only makes it more obvious and
10:50I was kind of hoping that Tableau pulse
10:44will not only help address the consumption
10:33problem
11:01but it will also help address the
11:03Let's call it the creation problem if that
11:06makes sense
11:07Maybe that's not the product Tableau was
11:08going for but hey, I think that's the
11:10product we need
11:11Thanks for watching and I'll catch you in
11:13the next video
11:13Thank you.
11:15[BLANK_AUDIO]
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