Salesforce Tableau in the 2023 Gartner Magic Quadrant for Analytics and BI Platforms

0:00Hey, it's Tim here. I'm finally back out of

0:02surgery treatment. The stitches are gone

0:05and

0:05Gartner have dropped the 2023 business quad

0:08rant for analytics. Today in this video we

0:11're going

0:11to go through it and I think they've even

0:13added a little bit of spice related to

0:15tableau. As ever,

0:16let's get stuck in. So every year Gartner

0:18released something called the business quad

0:21rant for

0:21analytics. It's essentially their analysis

0:24of how all the tools in the analytics and

0:26business

0:26intelligence space are essentially

0:28performing compared against each other. It

0:31was actually

0:32released on, if I go to the very top of the

0:34actual report, I'll put links to both of

0:36these

0:36in the description so you can go to them

0:38yourself and enjoy them. This was published

0:41on the 5th of

0:42April 2023 but I think that is the first

0:45published. Today tableau released a blog

0:48post about it so I

0:49feel like there's some sort of embargo

0:51where people who maybe pay for the report

0:54and you know

0:55input into the report get early access to

0:57it and everyone else and the companies, the

0:59technology

1:00companies are allowed to communicate what's

1:02happened in the report a few days later. If

1:04it

1:04happened on the 5th of April I completely

1:06missed it and for that I'm sorry but

1:08nonetheless it's

1:09here and tableau have done a blog post as

1:11they always do. For the 11th time in a row

1:14they've made

1:15it as a leader in the in the magic quadrant

1:17. What's interesting here is they've not

1:20added the image

1:21and in previous years they've actually

1:22added the image and those have you know

1:24coincidentally been

1:25the years where tableau's performed better

1:28in terms of being more of a leader with

1:31more of a

1:31vision and more of an ability to execute

1:34than its competitors. But in this year it's

1:37just a blog post

1:38from Francois and Pedro talking about

1:40essentially summarizing you know the big

1:41commitments they're

1:42making to the future with tableau and also

1:45being sort of grateful for their customers

1:47and how

1:47that's performed even though it's been a

1:49very sort of tough environment generally in

1:52the economy

1:52and then more generally they've sort of I

1:55think kind of responded to maybe some of

1:58the things

1:58they're doing to kind of you know combat

2:00some of the critiques from the Gartner

2:02Magic Quadrant

2:03here on the bottom of the blog post but we

2:05'll come to that a little later. What I want

2:07to do

2:07is focus in on the report itself so if I

2:10just move my little divider here to the

2:12left and this is the

2:13Magic Quadrant it's really quite simple

2:15what I will do is I'll just go straight to

2:17this which is

2:17the image that Gartner create. Now I have

2:21to say for a Magic Quadrant in the

2:23analytics space this

2:25is possibly the worst chart because the

2:27access has no real meaningful numerical

2:29description so

2:31and I think in response to that critique at

2:33the very bottom of the report is a

2:35breakdown of how

2:36they arrive at their scores for the ability

2:39to execute and the completeness of vision I

2:41'll go

2:41to that a little later on but the the meat

2:44of the matter here is that you can see that

2:46Salesforce

2:47now called Salesforce not previously Table

2:49au they've put Tableau in brackets but what

2:51that

2:51means is next year that that would just be

2:54Salesforce is now here. Now it's

2:56interesting

2:56because a few years ago in this quadrant if

2:58I just sort of zoom into this a little bit

3:00more

3:01I don't want to get into trouble for having

3:03this on the screen so I want to keep the G

3:04artner logo

3:05and everything on the page. In previous

3:09years this quadrant was dominated by

3:12products and by that I

3:13mean you didn't see the big technology

3:16companies in here if at all. You know

3:19Microsoft wasn't in

3:20there, Google wasn't in there, Salesforce

3:22wasn't in there. All the tools that were in

3:24there were

3:25basically on their own a bit like Click,

3:27SAP, Oracle, ThoughtSpot you know these are

3:30all

3:31individual tools with no big sort of parent

3:34owner. What is interesting is that this

3:36year it's just

3:37Microsoft not Power BI and it's just Sales

3:40force and it's just Google and next year

3:42they'll get

3:43rid of that Tableau in brackets because I

3:45think they'll speak to the whole Salesforce

3:47platform

3:47including Tableau as well and so that is a

3:50super interesting sort of trend over time

3:52but nonetheless

3:53hey the results are here it looks like Gart

3:55ner have rated Microsoft a lot higher in

3:58terms of

3:59both ability to execute and completeness of

4:01vision. I'll come to that in a second and

4:04it's

4:04interesting to sort of understand how do

4:06they arrive at this score, how do they sort

4:07of make

4:08this up and you can see they have a bunch

4:10of different sort of things that they use

4:12to kind of

4:13evaluate and the things they measure

4:15against and these are sort of put into some

4:17sort of blender.

4:18Of course we don't get sort of any

4:19perspective on what goes into that blender

4:22but if I then go to

4:23the very bottom this report is so weird

4:24because it's sort of structured in the

4:26wrong way because

4:27the things you actually want to know about

4:29so the evaluation criteria this is right at

4:31the bottom

4:32in my opinion this should be at the top I

4:33don't know why this is at the bottom but

4:35anyway

4:35the evaluation criteria is here and then

4:37they break that down into the different

4:39sort of

4:39weightings for each one so ultimately they

4:43have these sort of score areas and the

4:46ability to

4:47execute is weighted differently to the

4:50completeness of vision okay and so these

4:52these things are sort

4:53of giving it a score on a on some sort of

4:56scale and so because these these criteria

5:00are different

5:01for both of them you can kind of think of

5:02them as each having maybe a score out of 10

5:05and then

5:05there's a weighting applied to that to sort

5:08of give certain areas a little bit more

5:10prominence

5:11based on their market research and what

5:13they're doing and that derives a score they

5:15don't give us

5:16that score because unfortunately if they

5:18gave us that score you can sort of reverse

5:20engineer this

5:21whole report and then go out and do it

5:23yourself and they probably have some sort

5:24of proprietary

5:25ip in the background that's way more

5:27statistically driven and research driven

5:30they are a research

5:31organization after all and that's what

5:33drives the score so that is hopefully a

5:36brief explanation of

5:37how they arrive at this chart with no with

5:39no numbers on the axis and I have to be

5:42honest in

5:43past years I've actually not been too

5:45bothered about this quadrant because I've

5:47always felt that

5:49Gartner have have in some years completely

5:52missed the pulse on what people who use the

5:55tool day in

5:56day out actually experience and what is

5:58interesting about this year's report is I

6:01think it's actually

6:02the most accurate it's been in a long while

6:04both in both in strengths and in weaknesses

6:07or cautions

6:08they call them they don't use weaknesses

6:10they don't think any company would sign up

6:12to being

6:12you know called out for their weaknesses

6:14but they call them cautions and I think the

6:16way you've had

6:17to read the cautions in the past are like

6:19if you're trying to make a decision about

6:21this

6:21piece of software then these are the things

6:23to look out for and these are the things to

6:24challenge

6:25tableau on but the strengths have normally

6:27been sort of very positive things things

6:29that you can

6:29look out for and yeah you can go ahead and

6:32read the whole report I'm not going to go

6:34through and

6:34read it word for word the main thing is

6:36this chart and then the the most important

6:39thing

6:39the thing I do in this report is I actually

6:42just go and find the word tableau and the

6:44reason I do

6:45this is because I want to see every other

6:47place where tableau is referenced versus

6:50another product

6:51and it's always interesting to see this and

6:53so you can see here that you know it's

6:55tableau is

6:55referenced multiple times you know in other

6:58in other softwares and it's always

7:00interesting to

7:01just go and read those comments that's what

7:02I recommend you do you could read this

7:04whole thing

7:05and it's a 64 minute read according to Gart

7:07ner but and in the world today surely this

7:10is a podcast

7:10episode surely there's a there's an AI

7:12model that's already read this out I don't

7:14know why

7:15Gartner just have a text model I love I'd

7:16love it so there's a there's a tool called

7:18speechify which

7:19could probably read this for you faster in

7:22fact for several years the magic quadrant

7:24for analytic

7:25and business intelligence platforms has

7:27emphasized visual self-service for end

7:28users augmented by AI

7:30to deliver automated insights now the great

7:33thing about this if I go to tableau let's

7:35just go all

7:36the way down salesforce tableau here you go

7:37obviously tableau gets mentioned a lot in

7:39the

7:39tableau section if I just move this separ

7:43ator out a bit more so here we are this is

7:46the section for

7:47tableau and you know it's quite short

7:49actually for a lot of research that takes

7:52quite a lot of time

7:54there's not much about each of the tools

7:56and so it really sort of speaks to this

7:57comparison against other tools and the

7:59people who are reading this probably don't

8:02have the kind of

8:02time to read as much as I would want to

8:04read about the product but here the

8:06strengths and it's

8:08actually quite nice to see tableau as a

8:11skill now I can I can very confidently say

8:13that I see tableau

8:15in job descriptions I see tableau the skill

8:17being referenced in so many different

8:20places

8:20and it very has reached that level of

8:23market dominance in terms of requirement

8:26and job job

8:26descriptions in terms of demand for skills

8:29and the very fact I was able to launch a

8:32course on

8:32linkedin learning which has already reached

8:3410 000 learners I have a youtube channel

8:36that reaches 47

8:38000 people every single month it's

8:40definitely a skill that's in demand and so

8:42it's interesting

8:44to see Gartner recognize this as a strength

8:45essentially what they're saying to you know

8:47everyday companies who are thinking of

8:49using the product hey there's a good market

8:52of people out

8:52there who have the skill in using this tool

8:55you can ask for it and you can expect them

8:57to have

8:57support not just you know from tableau

8:59itself but it specifically references its

9:02community here and

9:03that's really really important you know

9:04people like myself people like other table

9:06au visionaries

9:07tableau ambassadors and pretty much

9:08everyone else who's talking about the

9:10product whether or not

9:11they're recognizing the program is

9:13contributing that to this massive pool of

9:15knowledge and

9:16expertise and so that makes it easier for

9:18companies to adopt the tool agnostic and

9:20flexible

9:21positions although acquired by salesforce

9:23tableau remains a more cloud data source

9:25and agnostic

9:25choice so what this is really saying is

9:27that look even though salesforce has

9:29acquired tableau

9:30and you know the tool has remained fairly

9:32agnostic i.e you know tableau haven't

9:34ripped out connectors

9:35for google connectors for a microsoft azure

9:38all these connectors are actually being

9:40added

9:40sharepoint is getting features and so it

9:43remains an agnostic tool even though it has

9:45a parent owner

9:46that is in probably competition with some

9:47of its competitors as well although that's

9:49an interesting

9:50point we'll come to because you can see

9:51here there's another point which is a

9:53caution which

9:53says salesforce centric innovation so in

9:56terms of where it is today it's agnostic

9:58but there's a

9:59caution later on we'll cover which talks

10:01about the innovation being essentially

10:03salesforce centric

10:04and analytics experience the proprietary

10:07visql engine sits at the center of the

10:09entire analytics

10:09workflow of tableau providing an optimal

10:12visual analytic experience the user-centric

10:14product

10:14improves the multi-persona collaboration

10:16within the tool expanding the adoption of

10:19the tool by

10:19more business users i literally have no

10:22idea what that paragraph meant um i don't

10:24know what visql

10:25has to do with any of all of that um it

10:28feels like um you know a bit of tableau

10:30marketing has

10:31got into gardner there and they they needed

10:34a way of sort of pinning tableau's

10:36excellence to some

10:37sort of ip um i'd actually say tableau's

10:40intellectual property and research and um

10:43no capabilities

10:44goes well beyond visql and well beyond some

10:47of the core capabilities um they're just

10:49mentioning here

10:51um and yeah you know some of the best parts

10:53of the platform are places where they're

10:54allowing

10:55people to collaborate so this multi-persona

10:57collaboration this concept is actually

10:59fairly

11:00fairly concise but i don't know how they've

11:01managed to piece together a paragraph maybe

11:03chat

11:04gpt wrote that paragraph who knows but then

11:07let's go to cautions um market momentum and

11:09support

11:10concerns now this is super interesting i i

11:13have to say this up front at least for as

11:16long as i

11:16remember i've never read the cautions part

11:20of the gardner report and felt that it's

11:23been a very real

11:24reflection of concerns that i've seen in

11:27comments in my videos um in the community

11:30and in discussions

11:31at user groups and various other places

11:33like i i don't know what happened at gard

11:36ner this year in

11:37terms of tableau but they nailed it in

11:39terms of the cautions okay so let's let's

11:40look at them

11:41market momentum and support concerns what

11:43is still showing a strong market momentum a

11:46tableau's had

11:47slower revenue growth recently it's

11:48basically it's been a tough economic market

11:50and and it maybe

11:51speaks to why this is a little later when

11:53we look at the microsoft section which i'll

11:55touch on briefly

11:56clients are sharing concerns about recent

11:58layoffs at salesforce also timelines of

12:01some support

12:02functions continue to be an issue

12:03particularly for standard support customers

12:06so for those people who

12:07are buying the product and getting standard

12:09support i.e not paying for premium support

12:11they're seeing their timelines for getting

12:13a response to support tickets slow down i

12:15've seen

12:15this in so many instances i can't really

12:17talk about those instances but nonetheless

12:19this can

12:20be validated both on twitter on tableau

12:24forums people are just running to new

12:27places and it's

12:28sort of interesting because this has also

12:30created the sort of um an interesting

12:32effect where in the

12:33community we're actually just getting on

12:35and helping ourselves we're finding these

12:37bugs sharing

12:37them with people newsletters are popping up

12:39new channels are popping up because this

12:41support is

12:42just not coming from the vendor and it's

12:44kind of it's really good to see it sort of

12:46reflected here

12:47and um i'd be interested to see sort of a

12:49more formal response to that problem

12:52especially seeing

12:53as now it's been called out um and there is

12:55this sort of small uh message here about um

12:59customers

12:59feeling they're being pushed to premium

13:02support to get their um you know get their

13:04issues heard

13:05and to receive what they consider adequate

13:08so sort of standard level support so that's

13:10an interesting

13:11thing again i can't speak to the exact

13:13instances but i think if you use tableau

13:16and you've had to

13:16send a support ticket ticket about

13:18something really complex that needs maybe a

13:20level two or level three

13:22support then you'll you'll know exactly

13:24what i mean and salesforce centric

13:26innovation some of

13:27tableau's emerging capabilities including

13:29crm analytics and data cloud are designed

13:32to integrate

13:32with salesforce some clients have expressed

13:34concerns about not getting the most of the

13:37combined platform if they don't move to

13:39salesforce alternatively they'll need to

13:41spend extra to get

13:42the capabilities that belong to other

13:44product lines so what this is really

13:45speaking to is two

13:46things first of all salesforce have

13:49purchased tableau um in various contexts

13:52salesforce

13:52executives keep reiterating how much of a

13:56premium purchase tableau was and i was i

13:59was in the back

14:00of my mind i always sort of listen to that

14:02and i think they're saying the tableau is

14:04expensive and

14:05they need to kind of get the value they

14:07paid for out of it that's what i hear in

14:09the back of my

14:10head when they say it was a premium

14:12purchase okay and so what is interesting

14:15about this is that you

14:17know customers are feeling like the

14:19direction of travel for the innovation is

14:22towards salesforce

14:23and if you don't use salesforce it feels

14:25like you're not going to get the value from

14:26this and so

14:27um some customers are worried that they're

14:29going to have to start putting their data

14:31in salesforce

14:32to be able to realize the full value of the

14:34tableau platform and that's a really

14:36interesting

14:36challenge um it's a challenge that i think

14:38tableau are responding to when when i do

14:41new

14:41feature videos one of the things i'm always

14:43concerned about and i have mentioned it

14:44before is

14:45a lot of these you know features seem like

14:47they need salesforce einstein for example

14:50it's a whole

14:50product area i just haven't gotten into

14:51because i don't know enough about selfless

14:53and it will take

14:54me a long time to get to the level that i

14:56feel comfortable sharing it with you that

14:58said on the

14:59other side there are lots of salesforce

15:01users who don't know enough about tableau

15:03to kind of do the

15:04opposite journey and so it's just going to

15:06take a while i think for that either

15:08concern to really

15:09be validated in terms of the features and

15:12capability or actually um you know as

15:14people

15:14start to learn both platforms better you

15:16might find that this this sort of concern

15:18disappears

15:19but it's great to see it here um now this

15:22point to me is also linked to the next

15:25point but i'll just

15:26finish on this final bit here which is um

15:29alternatively they will need to spend extra

15:32to

15:32get capabilities that belong to other

15:34product lines now that to me is is like a

15:37calling out

15:38to something that i've seen happen more and

15:40more which is the add-ons that tableau have

15:42introduced

15:43the interesting thing with the add-ons is

15:44they used to advertise the price back in

15:46the day they

15:47used to advertise the price of the add-ons

15:49full on front and center what's happened

15:51recently is

15:52they've taken the price away from the

15:54website which means there's no transparency

15:56on what the

15:57pricing is for these add-ons and there's

15:59almost been sort of additional skews and

16:02add-on

16:02capabilities that sort of only exist when

16:05the customer approaches tableau and so i

16:08can't

16:09confidently sit here and say to you that i

16:11can build a matrix of all the different

16:13things that

16:13tableau offer and how um they're priced

16:16depending on your organization and size i

16:18think tableau is

16:19the only person that can do that there's no

16:22sort of transparent sort of a tool and a

16:25bit like with

16:25aws you get like a pricing calculator where

16:27you can go and toggle all the dials and it

16:29actually

16:30gives you a good estimate of what is

16:31involved and it doesn't hide anything away

16:33from you it literally

16:34tells you where the big ticket items are we

16:37don't feel like we have that with tableau

16:39and so what

16:40people feel like is that they're being sort

16:42of nudged to spend extra to get the full

16:44capabilities

16:45of the platforms through add-ons and so

16:47that add-on is not really reflected in the

16:49face value

16:50price that you see um but again we'll come

16:52back to that later now this last point

16:55serve on-premise

16:56clients tableau has a huge number of on-

16:58premise clients who use tableau desktop and

17:00server with

17:01the acquisition from salesforce the product

17:03portfolio has a clear direction to be cloud

17:05first

17:05or even cloud only and i have to say um

17:08again tableau server on-premise has reduced

17:11to only two

17:12updates a year that means tableau cloud

17:14gets four updates a year and what is

17:16interesting is that

17:18when tableau market the updates for tableau

17:21server they market features previously

17:23released in a

17:24previous version as new in that version and

17:26so if you're not careful and you're

17:27actually not looking

17:28out for it you don't realize that in some

17:31cases there are actually less features

17:33being developed

17:35for server only than there are for tableau

17:38cloud and server in sort of in general and

17:41so

17:41that is something that is super interesting

17:44i've done an analysis an analysis at a

17:46tableau user

17:47group before of just breaking down these

17:49features and sort of seeing where they're

17:51coming from in

17:52that in that sort of talk i talked about

17:54actually the focus on web edit and because

17:56of this cloud to

17:57because of this focus to move to the cloud

18:00the focus on web edit has also you know

18:03taken up a

18:03lot of air time in terms of new

18:05capabilities but they don't represent any

18:08net new features if that

18:09makes sense so we're seeing this maybe play

18:12out a little bit more um but that said i

18:14you know

18:15tableau still has a non-premise product and

18:17it's quite clear that they're desperately

18:19adding

18:20features to the cloud capability to make it

18:22more appealing and they are moving

18:24customers over

18:25to the cloud in in large numbers in fact i

18:27think most new customers are probably

18:30starting off in

18:31the cloud i can't remember where i'm

18:33getting this statistic from but it was a

18:35public setting so i

18:36know i can share it and at one point 75 all

18:39new customers were going straight to the

18:41cloud rather

18:42than tableau server and so and that is a

18:45super that is a super interesting sort of

18:48trend and

18:48the thing is is with the customers who

18:50start on tableau cloud they don't know what

18:52they're

18:52missing on tableau server it's only really

18:54the customers who are on tableau server who

18:56are trying

18:56to go to the cloud that realize they don't

18:58have certain feature sets and so that is

19:00also another

19:01interesting thing with the whole server to

19:04cloud migration and people are finding out

19:07real sort of

19:08big challenges maybe late on in the day and

19:10they're realizing they're losing

19:12capabilities

19:13even though you know the promise of the

19:15cloud is actually more expensive because it

19:16's managed by

19:17tableau but they're not necessarily getting

19:19the same feature set that they would have

19:21if they had a non-premise solution so that

19:23is again another interesting point to dig

19:26into um

19:27this move to the cloud aligns with sales

19:29force's own product strategy and i think g

19:32artner's just

19:33calling that out and every single most

19:35products actually salesforce have our cloud

19:38focused tools

19:39um and you know gartner's just calling out

19:41that this could impact existing clients who

19:43have no

19:44plan of moving to the cloud soon i.e if

19:46your if your organization is you know just

19:48weathering the

19:49storm a little bit in the economy and

19:50deciding to put off its cloud migration and

19:53yeah maybe

19:54tableau might get difficult for you

19:55according to this report and so that's the

19:57tableau section of

19:58the report now the thing i'm always

20:00interested in is you know what do they say

20:03about microsoft so

20:05let me go ahead and find microsoft because

20:07i think this is actually um another

20:10interesting uh area so

20:12i think microsoft is going to be further up

20:15let's go up and i think this is it micro

20:17soft here you

20:18go microsoft is a leader in this magic quad

20:20rant its primary abi platform power bi has

20:23massive

20:23market reach and momentum through microsoft

20:26365 azure and teams integration and i have

20:30to say

20:30they're just straight up leading with them

20:33okay microsoft 365 which is a product you

20:36maybe even

20:36use personally um which is office microsoft

20:40word or the whole lot excel powerpoint uh

20:43notes outlook

20:44all of that sits in microsoft 365 azure

20:47which is the microsoft cloud capability

20:50that rivals things

20:51like aws and then teams which is the

20:54competitor to slack um those three things

20:58make it very hard

20:59for organizations to not use power bi

21:01because those three things are heavily

21:04integrated into

21:05the power bi platform and so um you know g

21:08artner is quite right to point out that look

21:12these three

21:13things which you already pay for are

21:14probably driving your decision as to why

21:16you use power bi

21:18and actually power bi gets bundled into

21:20sort of those packages and so here you can

21:22see the the

21:23the strengths that number one strength here

21:25is aligning with microsoft 365 teams in az

21:27ure the

21:27inclusion of power bi in microsoft 365 e5

21:31has provided an enormous channel for the

21:34platform

21:34spread essentially by including it as part

21:36of another subscription it's just opened

21:39the door

21:40um to more users and as a result of that

21:42actually um you'll probably find that the

21:45skills of people

21:46using power bi goes up and power bi as a

21:48tool will probably now get more attention

21:51and focus in terms

21:52of features and capability because more

21:53people are using it more people are raising

21:55concerns

21:56and so yeah it's super interesting to see

21:58this um you know move forward the price and

22:01value

22:01combination again is a strength here the

22:04power bi service has now a now has a per

22:06user offering

22:07to appeal to small organizations with 300

22:10or less and microsoft doesn't use a cross-

22:12selling strategy

22:13to increase revenue per customer like most

22:15other abi platform vendors do so because

22:18microsoft is

22:18just a behemoth it doesn't have to do any

22:21of this sort of messy stuff with pricing

22:23can just make it

22:24super simple and bundle it in with 365 a

22:26power portfolio and product ambition from

22:29microsoft is

22:30very clear as well so people people might

22:33think of microsoft and they think power bi

22:35is in safe hands

22:36here and some of the other capabilities

22:38with power automate and power apps as well

22:41are going to allow

22:42it to expand that sort of vision a lot a

22:44lot more and so that's a super interesting

22:46kind of

22:46analysis there and then the cautions

22:49government governance of content creation

22:52and publication

22:53limited headless open architecture azure is

22:56the only deployment option so of course

22:59because

22:59microsoft lean in heavily on microsoft

23:02capabilities and there's a little bit of a

23:05sort of a gap where you know companies can

23:07't lean to other governance and capabilities

23:10and

23:10where those capabilities don't exist you

23:12know the the support just isn't there

23:14within the platform

23:15and you can't really go anywhere else to

23:17get and the help and limited headless open

23:19architecture

23:20so let me let me read this a bit while most

23:22power bi services customers appreciate the

23:24tight

23:24integration with microsoft there's an

23:26increasing demand to see more interoper

23:28ability across

23:29competitive bi platforms in particular as

23:31an analytics catalog and metric store many

23:34power bi

23:34customers would like to see more open head

23:36less integration with products competitive

23:39to microsoft

23:40so i think there's this idea in analytics

23:41that everything is becoming almost um atom

23:44ized so

23:46um why can't i use tableau for my visual

23:48izations uh use i don't know um uh power bi

23:52for my you know

23:53data store and power automate for my

23:55automation now people want to be able to

23:57plug and play

23:58different parts of the analytic stack

24:00because ultimately your data is the is the

24:02sort of common

24:03thing so um the platform should really work

24:05around your data rather than locking your

24:07data into the

24:08platform and stopping you from doing the

24:09things you want and um gartner's calling

24:11out sort of some

24:12of that challenge um in the tableau world

24:15tableau do a lot of this through apis so

24:17there's a lot of

24:18apis that open up uh tableau um to lots of

24:21different capabilities as well so it's

24:23interesting to see

24:25this as a critique and then lastly azure is

24:27the only deployment option so microsoft don

24:29't give

24:29customers the flexibility to choose a cloud

24:32infrastructure as a service iaas is an

24:35infrastructure

24:36as a service offering and while data

24:37connectivity enables multi-cloud and hybrid

24:40cloud scenarios

24:41it's power bi service learns only in azure

24:43so the comparison here is that i can take

24:45tableau server

24:46and install it in aws or i could install it

24:49in azure or i can install it wherever i can

24:52get a

24:52server essentially there's no sort of tied

24:55down capability where i install it with

24:57power bi the

24:58service has to run in azure and that's

24:59probably why microsoft are making this play

25:01look if you

25:01want to run our software and you want to

25:03get it bundled in and free we're going to

25:04ask you to

25:05increase your azure expenditure so whilst

25:08the product might be cheap you probably

25:10might see

25:10an increase in your bills when it comes to

25:12how you handle azure so that's the micro

25:14soft side now again

25:16i'll reiterate i'm not an expert at this um

25:18people with way more time and skills in

25:20terms of

25:20statistical analysis put put this report

25:23together but it's you know it's got me

25:25thinking like this

25:26report mostly focuses in on i guess a

25:28leadership a really high level people

25:30thinking about the

25:31platforms and once i said it represented

25:33the concerns of um everyday users i think

25:35more

25:36accurately with to do with the layoffs to

25:38do with um you know sales forces

25:39acquisition and potentially

25:41the innovation being salesforce led and

25:43what you don't ever see in the quadrant is

25:45actually an

25:46analysis of um how the tool can how the

25:49tool could work better and what needs at a

25:52sort of micro

25:53level and not being met and it made me

25:55think about maybe doing something different

25:58maybe giving

25:59ourselves a challenge as a community over

26:01the next year to come up with our own

26:04variant of not

26:04necessarily the quadrant but a scorecard

26:07and i got this idea from a podcast i follow

26:09which is

26:10called upgrade upgrade is a technology

26:13podcast i absolutely love it and in that

26:15podcast they do

26:16something called the um annual report card

26:18and the annual report card is done by a

26:20chap called

26:21jason snauer put an image on it of it on

26:23screen essentially he sends out a survey to

26:25various

26:26people in the industry asking them for

26:28their feedback about apple and he gets a

26:31bunch of

26:31responses in and he goes through sifts them

26:33and then summarizes them and then creates a

26:35report

26:35cards and scores them essentially everyone

26:37gets their scores in and i think that could

26:39be a really

26:40good way of doing this as a community to

26:42kind of start getting our concerns about

26:45the actual you

26:46know on the ground experiences of using the

26:49product up against this kind of um analysis

26:52because this kind of analysis focuses on

26:54the macro level challenges the purchasing

26:56decisions

26:57the strategic decisions i think there's

26:59also space for doing something that focuses

27:02on the more

27:03granular aspects so um i don't know what

27:05that will look like i'd love to hear your

27:08thoughts in the

27:08comments and yeah maybe we'll try and set

27:10something up over the next couple of months

27:12just to try and

27:13see if we can build something really

27:14interesting and the first one might be a

27:16very small sort of

27:17cohort maybe a handful of people but we

27:19start to sort of get this over time and

27:21maybe we'll start

27:21to build a picture and bring in more of a

27:23general analysis of the survey opportunity

27:26for everyone

27:26um but anyway i think i've talked for long

27:29enough that is the magic quadrant and yeah

27:32it's good to

27:32be back making videos again i had a short

27:34break after having some surgery for a

27:36couple of things

27:37which i'll talk about some other time in

27:38the future nothing nefarious but um

27:40nonetheless

27:41um yeah good to be back i've got a couple

27:43more videos um to do with things i missed

27:45whilst whilst

27:47i was away actually the the the next video

27:49is going to be about the um little cool

27:51bits of

27:52animation which was actually coincidentally

27:54done at the gartner event showing augmented

27:56reality

27:57with tableau i have a little bit of a sweet

27:59spot for augmented reality in myself so i

28:02'll try and

28:02touch on that video i dug into it and i

28:04realized there's there's there's a lot of

28:06new things in

28:07that video but there's also some things

28:09that i don't think are as new as tabla make

28:11it out to be

28:12so wait for that video and you'll find out

28:14more as ever thanks for watching and i'll

28:16catch you in

28:16the next one

28:17you

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