The Art of the Possible – Ep. 240

Power BI and Fabric are moving fast—and sometimes the hardest part is simply knowing where to look for what changed.

In Episode 240, Mike, Tommy, and Seth start by reacting to the massive Microsoft Fabric July 2023 update (including several Power BI-adjacent features). Then they pivot into a classic consulting question: when someone asks for ‘the art of the possible,’ are they asking for a wow-demo… or for a roadmap to real, durable business value?

News & Announcements

• Microsoft Fabric July 2023 update — A huge release roundup (including reporting + UX updates) worth bookmarking.

• Submit a topic idea — Send a scenario, question, or hot take you want the team to debate.

• Subscribe to the Explicit Measures podcast — New episodes, show links, and the full archive.

• Tips+ Theme Generator — Build consistent Power BI themes quickly.

• Mike Carlo on LinkedIn — Updates, consulting patterns, and Power BI/Fabric tips.

• Seth Bauer on LinkedIn — Engineering perspective on analytics delivery.

• Tommy Puglia on LinkedIn — Leadership + real-world BI lessons.

Main Discussion

The episode kicks off with a very real problem: the Fabric update post is massive, and even seasoned Power BI folks are trying to figure out what actually matters. The team calls out a few standout items—like improved in-product help via the Fabric “health pane,” quality-of-life improvements in Dataflows Gen2 (especially around column naming/data types), and more flexibility in the OneLake File Explorer for people who bounce between orgs/tenants.

From there, the conversation shifts to the phrase many of us have heard on stakeholder calls: ‘show us the art of the possible.’ The group’s take is blunt: if ‘art of the possible’ means only a beautiful demo report, you’ll likely win the meeting but lose the long-term battle. The real ‘possible’ is often less glamorous: automated data pipelines, a reusable semantic model, governed self-service, and an adoption plan that keeps people from routing around your work with exports and spreadsheets.

They also highlight a useful mental model (inspired by the Data Goblins post they reference): most analytics requests sit somewhere in a triangle of technical, business, and adoption problems. Great teams don’t just ship the technical fix—they ask the questions that connect all three.

Key takeaways:

• Don’t confuse a ‘wow report’ with business value—start with the decision being made, the cadence, and the workflow you’re trying to improve.
• Treat requests as a 3-part problem: technical feasibility, business outcome, and adoption/enablement. If you ignore one corner, the solution won’t stick.
• Invest in reusable assets (a solid semantic model + shared definitions) so every new request doesn’t become a one-off report project.
• Be intentional about distribution (subscriptions, paginated exports, email delivery). Without a plan, you can accidentally create report sprawl and governance risk.
• Fabric + Power BI updates are converging—pay attention to the Fabric blog for reporting-adjacent changes and roadmap signals.
• Strong BI teams behave like a COE: governance, education, and proactive engagement with the business—not just a reactive ‘report factory.’
• Small platform improvements matter: better contextual help, fewer Power Query cleanup steps, and easier OneLake navigation reduce friction and speed up adoption.

Looking Forward

The next time you’re asked to ‘show the art of the possible,’ respond with one concrete business outcome you’ll improve—and the adoption plan that keeps it valuable after the demo.

Episode Transcript

0:30 good morning everyone welcome back to the explicit measures podcast with Tommy Seth and Mike hello everybody hey hey one one word one word answers something incredibly good for a podcast good so what do you think about all these new developments in power bi great great all right awesome Tony the Tiger they’re great yeah what what updates are you talking about where has he been they just not use Tony the Tiger anymore that was

1:01 not use Tony the Tiger anymore that was like a thing back when I was growing up it was everywhere let’s talk about okay this is almost comical to some degree degree there is a if you go to the blog. fabric. microsoft. com and again also I can’t stand the new you like why can’t it just be blog. fabric. com like come on Microsoft let’s get this together this is an absurd URL I remember it anyways anyways on August 9th we get the Microsoft

1:32 on August 9th we get the Microsoft fabric July update there must have been some issues sometimes something delaying the blog here a bit but we get this massive dump of a Blog and you’re talking about just usually the Microsoft does the blogs there’s like hey there’s a couple sections at the top you scroll through the sections and there’s a couple links in the article below holy smokes there’s like three pages or two full scroll pages of just features all in just the link section of stuff going on there are so many things

2:03 stuff going on there are so many things that have been released inside this blog it’s crazy it’s significant features like I don’t I couldn’t even tell you at this point like I’m trying to I’m having a hard time trying to figure out like which portions of this are actually like I’m just trying to get my head around like okay what do I even look at I have to read this whole thing I don’t even know what’s important here are we supposed to start consuming power bi updates on the fabric blog and not on the Microsoft power bi blog because there’s been no updates on the power bi

2:34 there’s been no updates on the power bi blog but there are power bi updates in the fabric blog at yes exactly all right so there is a whole section for what was reporting I don’t know it’s confusing confusing I don’t know if it’s Fabric or if it’s power bi anymore it’s it the line is getting more and more blurred as we go sure I’m pretty sure you do know like the direction there well the direction is more fabric right but is it are we it just seems so confusing to me

3:06 are we it just seems so confusing to me it’s literally the same name for the same tool yep and it’s the same color anybody anybody able to pick up anything cool out of the monster blog yet make it the liberty of reading it yes I want to break out one of the probably the first thing on the Articles actually maybe the most significant for all these new users including literally everyone it’s the health pane but it’s a awareness help you’ve seen a lot of tools do this you’re on a certain part of the website

3:37 you’re on a certain part of the website or a tool you’re like what do I do here and you have to try to search for it well now and I had no idea this was even possible if I’m like in notebooks or if I’m in pipelines and I want to get help there all I have to do is click on the question mark it’ll actually give me help for that area so I can actually understand about each of the like awareness of where I’m actually located in fabric that’s significant and I think for a lot of new users and I can also search in there too so I can say in the same experience and I I think for a

4:07 the same experience and I I think for a lot of us going where do I get started that’s a great first step I do I I’m not sure again it’s you’re not jazzed about that no why I mean help our help we have all these updates and you go after help I’m not saying that I said hey it’s an ease of use I I get it I get it I just I just can’t just wrap my head around

4:37 I just can’t just wrap my head around all this stuff that’s going on here the one I think that’s pretty easy with this man true true I think the one you’ll like yourself is there’s this one Lake file explorer so there’s like the the pro this is the program I assume right this is the downloadable one like app right it says now it says it supports switching for organizational accounts so now you can have multiple organizations inside the one Lake file explorer and you can then jump between different organizations and explore files in different orgs sorry what

5:10 files in different orgs sorry what yeah I think that might be something useful useful what a profound statement they just released a bunch of new features this one might be useful okay I gotta dig into this one because yeah that one that one you might because you have two tenants that you deal with quite often yeah and you get it now I don’t really know what that means that just means if I’m just exploring files I can then easily switch basically OneDrive yeah it’s like yeah so I think

5:40 OneDrive yeah it’s like yeah so I think this makes more sense now because then I could have one the whole idea of one drive is this it’s this easy to use thing from users who work with multiple aad tenants that’s me yeah and it said in the beginning one of the most requested features but I don’t want to switch tenants why can’t it be like one drive if you want to talk about something that’s like not great yet why can’t it be like OneDrive and I can add accounts to it I have to sign out and then assign it in

6:10 out and then assign it in here’s the biggest feature of all this though the biggest feature of all this data factory data flows gen 2. you can now rename a data flow inside the query editor editor that was a big miss when they first came out with that one and you have like oh shoot what’s data flow seven yeah exactly what is data flow seven that was Tommy and I were trying to build data flows like the silly thing was just there the whole time and like what the heck is happening we each other like are you dating are you sure are we sure are you sure we can’t rename this thing this

6:40 you sure we can’t rename this thing this is crazy oh yeah we’re like five like I think you’re four okay you do four another big one sharing SQL warehouses or data warehouses is another thing that you can actually share it and so you can basically have a warehouse that doesn’t ever go into the whole story of a report and I can share this with users that they can connect in their own systems which is crazy that now within fabric I can create a whole SQL database with views in the whole shebang and I can share that just

7:11 whole shebang and I can share that just like you could share a normal SQL database and this is this is the thing I think is interesting here is I really think this the whole interesting part about what’s what SQL inside fabric now one thing I haven’t seen very clearly yet or don’t understand yet is can I bring a dedicated SQL Server to fabric I think the answer is yes but I’m not sure if I’ve done that specifically right now my understanding is everything in fabric is like a serverless type experience right so you get by default a serverless SQL

7:42 so you get by default a serverless SQL server and then when you go do your talking Tommy like the SQL Server is basically just managing or connecting to Delta tables under the hood right so you’re getting views views are something that live on top of the Delta tables like to me this is a very big change in Direction where databricks has been doing this for a while but now Microsoft is just making SQL do the same thing this is really impactful I think I think this is really an interesting move with what’s occurring here because they’re

8:12 what’s occurring here because they’re they’re usually they’re adopting a better standard or they’ve really changed some line of thinking that it’s different than how I’m used to thinking about SQL servers yeah and like I said I think it needs to it can’t go understated in fabric anyone can create their own SQL database basically yeah which is insane like it doesn’t take long enough to spin up anything in Azure yes but it’s incredible how easy that is and these are all things are that are fabric related we haven’t even gotten to the power bi things oh no there’s not much there

8:42 much there oh I think I think smoothed lines in the line chart is something that people have been requesting for a while so the line type is now smooth inside again sometimes people argue a smooth line inside a line track could be somewhat deceiving but if you’re generally showing trends of things I think it looks a lot better than just a hard Edge line line and now they’ve got leader lines so if you do have a smooth chart and you want to put leaders on top of the notes like where the data point comes from you now get leader lines attached that’s another big win as well

9:12 big win as well the the pain switcher or the different options for bookmark selection performance and all those it’s getting better to work with it because when it came out initially you’d click something and stuff would just start disappearing it’s it’s way better than what it is than it had been the past however I do feel like they have gone back and had a regression on something inside the visuals if you build a property report right now you can’t adjust a visual without having

9:42 you can’t adjust a visual without having data attached to it wait if you put eight let me say this way when you build a visual on a report page and you add the visual to the report page unless you add any pieces of data to the data fields there are no properties of the visual you can’t see them they’re gone and I’m like I’m pretty sure we had this issue before and previously they would at least give us the options to see like the settings of the visual because you should be able to drop a visual down and you should be able to say where’s the XY position what’s the width and the height of it you should be

10:12 width and the height of it you should be able to type those things in and make it easier easier they’re just behind like they they it used to do this I feel like and I feel like now it’s not doing it doing it that one that one I I would I would sell I don’t need to buy that that issue not a huge I I can see that but just make

10:32 a huge I I can see that but just make this I don’t need like I would rather if I’m going to invest in anything it’s going to be on object make that experience better if they if if that’s a feature that they lose out on or they miss out I don’t even care anymore like right now I don’t even care how they do the on object feature I just turn I just turn it off and now and now I just have this no seriously like you can get the on object experience I don’t use it at all all I do is Click open the the format pane on the right hand side and just use that it it felt like it was scary to some

11:02 it it felt like it was scary to some degree when they were doing this whole on object thing because it felt like they were going to put on turn on the on object and then turn off the filter pane or the the settings pane but they haven’t done that the settings pane still exists there’s still a lot of other settings on the visual that they’re not going to expose in the on object editing so it’s it’s very easy now and so now I all the things that have changed for me was when I want to make a visual I right click on the canvas select new Visual and then go right to the format Pane and then use that the whole time I don’t even touch it they’re

11:33 whole time I don’t even touch it they’re gonna see that’s the only feature that as people are going to use before we divert because I feel like we get to spend another an hour therapy session on on that on object I got another one that’s also equally significant to things that we’ve been doing dataflow’s Gen 2 some major updates hey if I actually have something that needs to be cleaned up before I add it to another destination I’ll be able to do it for me now or Microsoft fabric will do it for me so let’s say in order for something to pushed to a destination

12:03 for something to pushed to a destination you need to have a column names no spaces yes correct and data types before yes we get there which didn’t take a long time but a lot of clicks and then go oh I’m sorry you have to change some stuff first then you have to get out of experience well now it’ll actually Auto recognize like oh you have spaces we’ll we’ll clean it up or replace values for you and it’ll do that automatically gosh for for new users of using power query I think that’s one of the getting too many steps in that in the steps pane is

12:34 steps in that in the steps pane is sometimes it bugs me when I see new users doing this they’ll they’ll rename something and then they’ll move a column and then they’ll rename something and then they’ll do a transformation then they’ll do another Arena we have like the same step like 10 times I really like when I’m working with power queries the last two things I do are check the names and then check the data types like those are the last two things you want to do before you load and particularly now that it’s now that the naming schema is very picky inside Delta like in Delta

13:04 very picky inside Delta like in Delta tables you can’t have a space in the name you just can’t however I also feel like Microsoft should be smart enough to figure out how to like put a symbol or something in there there that changes the name of the column so that the UI can have a space but the Delta table doesn’t allow the spaces like I feel like there should be something there it’s like it should just Auto do it what look so this problem literally led me to one of those rabbit holes where I learned something new because rather than just

13:35 something new because rather than just manually replacing this I knew this would come up again next actually now it won’t so great but now but I’m sure there’s other uses that basically finding a way to dynamically replace values in all the columns yeah correct now I know how to do that but now it doesn’t matter because they just fix it so thanks Microsoft is that how do you do that how do you dynamically replace all names and columns it’s a list you basically there’s one called column names you reference another query you make it a list then the names that columns the

14:05 list then the names that columns the list and then you just go back back and refer to it so nice that’s pretty cool other updates analytics Gen 4 or version four can now be pushed to your SQL databases and for people who have been in marketing and analytics you missed a word Google analytics Gen 4 right I think you’re like analytics Gen4 like what is this new thing you were talking about I I agree with you yeah I was just looking at that one too ga4 or Google analytics version 4 had come out I don’t know it’s been up

14:36 had come out I don’t know it’s been up for a while well Google is literally forcing you and saying hey you can’t you can’t use G anymore without upgrading to this new thing now so it’s not getting forced on our throats so like all right we’re gonna have to figure out how to work with ga4 now so let’s try to learn how to use it now the connector is updated which is great because it’s a pain to work with ga4 I’m hearing companies now leaving like Google analytics and going to like Adobe analytics with other companies because

15:06 analytics with other companies because it’s so bad the data on the back end like the way they did it it’s it’s terrible terrible I don’t even yeah did they remove a lot of the detail well no they have the details but the way it shows now I I forgot how it’s called but it’s not a tabular way of looking at it like going between the reporting one to the other is just look at that end it’s nested everything’s nested so there’s yeah there’s no like individual tables

15:37 yeah there’s no like individual tables yeah oh yeah not cool another one I think I’ll be personally diving into there’s actually now implementing a lake house in Microsoft fabric certified or course yes I did see that which was good that they came out with that so I think that’ll be a good class for people to study up on Tommy you also go through the class and see how close you were with all of our tutorials on on fabric. com yeah ninety percent of what you need to know is already on the the web of the the YouTube channel so it’s cool because now I can teach it

16:07 cool because now I can teach it so now you can teach it like I actually have an online course that is actually part of YouTube and I actually haven’t met the real one yeah and I really know what I’m talking about now so I’ll be diving into those study materials and looking you don’t need to study it already you already know everything just take the test oh let’s see what they got in there that’s what Seth and I did when we took the power bi when we were like I think we know what we’re doing let’s just take the test and then we both pass we’re like oh it looks like we knew what we’re doing foreign foreign let’s jump on let’s this blog is amazing there’s a lot of other probably good nuggets here but I think we’ve hit the main topics on the fabric blog

16:40 main topics on the fabric blog like one one last comment though that I want to get here guys it’s not done hot take on right is it is it too much like my God like one I would I’m disappointed because I kept looking at the power bi blog for an update and I guess I have to come here now which is fine I’ll just save it but like it’s almost information overload like if you actually think everybody’s gonna read through all of these things I

17:11 gonna read through all of these things I gonna read through all of these things with the exception of us maybe mean with the exception of us maybe that’s maybe that’s just reinforces a full podcast then at least once a month when it drops and maybe we should do that I don’t know I’m just scrolling and scrolling let me give your hot take yeah let me give you a hot take with another hot take if Microsoft is expecting people to really invest all their money into this in transfer where they’re at and where they need to be they better have updates like this every month for the next few months there’s a lot of things that need to be improved to make this an Enterprise

17:41 improved to make this an Enterprise organization ready well that’s well I’m gonna take a hot take on your hot ticket preview at the end Mommy because it’s not GA well what if it’s going to be that’s what I’m saying I know I think hot hot hot hot take yeah I’ll take the super hot take of your hot takes takes ah fire I don’t even know what that means anymore I’m literally confused about that whole phrase now but anyways I feel like what fabric was doing was whipping stuff out the door in order to hit build

18:12 out the door in order to hit build I feel like it was like this is all the stuff they wanted to build and it was like close right shocker this is a lot of like the ketchup the cleanup the everyone team take a breather we’ve announced it we’ve been we’ve been holding on to this noise for so long like these are all the things they wanted to go Day One release with but it’s probably a lot of this I’ve not a lot of this I see a good portion of this is like a lot of polishing things like renaming a data flow when you create the data flow yes

18:42 flow when you create the data flow yes 100 that should be there but they had to cut something somewhere to get things out the door make sure like it would run right if it wouldn’t run we couldn’t release it so I I think you’re right Tommy I think they’re getting a lot of feedback feedback I do also think Microsoft is heavily invested in getting this to work and work well because if you think about all the five thousand dollar versions of this thing that they’re just giving away for free every user is getting their own p60 or f64 like they’re they’re literally saying if you had an

19:12 literally saying if you had an organization of 100 people and everyone tried this and started building things in fabric every single person is getting a 5 000 that’s a big investment that’s like a 500 000 investment for them from a from a just from a paper again it’s probably like funny money anyways because Microsoft can run it much cheaper and but whatever like that’s a lot of investment at Microsoft’s level just to have a couple hundred people have an f64 so they’re really motivated to say that this is the way they want to do things and there are

19:42 they want to do things and there are some things that I feel like are really impactful direct Lake I think is going to be amazing and Tommy you were just talking before we go to the podcast around how directly can be used through an xmla endpoint and how fast it is and how cool yeah yeah this is incredible so I think I think there’s some really big movers here I still feel like the data engineer experience coming into fabric is still subpar to the other tools that they have thinking more around Azure data Factory and synapse but I definitely think

20:12 and synapse but I definitely think they’re very quickly closing the gap on those things and it will soon be on par with all the other data engineering tools that we get inside azure so I’m very excited to see this investment going I hope this really takes off honestly I really hope this solves a lot of people’s problems and makes it super easy to use this stuff because I want to see them continue developing this because I think a year from now we’re going to be talking totally different around what Fabric’s doing it’s going to be very pivotal to a lot of what we build in the future if they keep investing at this level

20:47 I don’t know if that was a hot take or anything but I just need it it’s a good synopsis what are you talking about today all right the main topic of today after we’ve gotten 20 minutes deep so today the the phrase have you ever

21:01 so today the the phrase have you ever heard the phrase the art of the possible have you ever been on that call with someone and they’re like oh we need to build some property reports we need to build something in fabric yeah but we need to see the art of the possible possible have you have you guys ever heard that phrase said to you I think maybe once once raise some alarm Bells depends on who’s seen him and it really does does please embellish well I I I’m assuming you’ve heard it before well

21:31 assuming you’ve heard it before well I’ve heard it multiple times before okay and and it’s this it’s the the idea it sounds like these are I hear the phrase being used particularly around power bi when someone shows up to power bi and you start talking about it and they’re like well I don’t really know what I can do with it I need to know like what what is the the what are all the Practical use cases how would I leverage this how can this add business value for me long term and I can’t tell you the number of times you can’t tell you the number of times Seth and we were Consulting know Seth and we were Consulting together remember there were companies that were asking me that thing hey can

22:01 that were asking me that thing hey can you help me see the art of the possible I need to understand what is this thing really capable of so basically saying I need to stop at what you’re doing and build this really pretty and elaborate super incredible report wow me right show me like the wow factor of that tool and then I can buy into it and so and so I don’t know I just I’ve heard this phrase all the time and I think this is a a I think it misses some of the main functionality improvements of in general

22:31 functionality improvements of in general power bi and automating things like just automating your data loads majorly helpful not super art of the possible right I’m not going to build you a bunch of books I think we get stuck on some of this where power bi is adding a lot of capability to the team and we get stuck on or people get stuck on the prettiness the report side it’s all about the reports and we lose some of this other like really solid mechanical pieces of well now I’m automating data now I have

23:01 well now I’m automating data now I have this one data set that I’m reusing over and over again we need to invest a lot more time in this one master data set because it’s going to make things a lot simpler across the organization hey by the way we can build paginate reports online now you want access to data great here you go team build what you want to build I don’t you don’t need to ask me questions I’ll teach you how to use the data model let’s go so like I feel like there’s some other low-hanging fruits there is like yeah it’s not pretty and sexy looking but it’s like really useful I don’t know that’s where I was going

23:31 I don’t know that’s where I was going with the main topic today how is power bi the art of the possible what can it do for your organization what are your benefits you would expect it to do and and what does that scope of how I would I would expect it to change my org my org Tommy what do you think have you heard it before yeah I’ve heard it honestly took that a different way a lot of people I think put bi in a box more than they think that oh tell me everything you can do nobody puts bi in

24:02 everything you can do nobody puts bi in a Box nobody puts behind the box well if you were to pull like a like a random person from a thousand organizations says what is the I do I think the majority overwhelming would say they build reports and that would be the expectation yes and that’s the art of the possible piece of this right that’s to me that’s like that’s the art side right they’re like show me what it can do right but I think that’s the only thing they think bi does or that’s the output and I think

24:33 or that’s the output and I think a lot of we have a lot of other talents and there’s a lot of other things part of that that’s more than the reports that where we bring value to the business but no one would see us there or in a sense expect that oh this is a strength this is a talent or this is a leadership role that we may have at the organization here so huge one for me just thinking about this is like how does a team if you’re a bi team and you’re starting power bi or people just have you in this box already the expectations you just

25:03 box already the expectations you just build reports but there’s other things that you can do and you can do well like helping data migrations helping people structure how all those Excel sheets and put them in the databases well how can first what are those other talents you can say and then I guess the other thing I would ask is what can we do about raising that awareness so let’s maybe address your first question what are the if I if I said here what are the expected benefits of power bi above just report

25:34 benefits of power bi above just report building right what what other value ads are getting yeah Seth looks like you want to say something no I I like you want to say something no I business intelligence in general is mean business intelligence in general is what we’re talking about like it’s small it’s been outside of just power bi right so but very applicable in that right yeah as well because it’s a tool that actually solves across the spectrum of I think where Tommy’s driving at as far as like the talents of a business intelligence team and what a bit what

26:04 intelligence team and what a bit what the talents should be because those are wide-ranging right so to just answer your question Tommy I think directly the talents would be right we we should or would have folks that have the ability to collect data from Source systems cleans it clean it cleanse it cleans it cleanse it store it like have an understanding of storage mechanisms where do we put storage like where do we put data Enterprise like can you Enterprise it

26:35 Enterprise like can you Enterprise it where do you where and how do you do that that have the ability to analyze data and make meaning out of it and then there’s a reporting aspect to it right like it’s the ecosystem realistically of of all data within an organization and I think the awareness levels part at least on a higher level would require the business intelligence team to look at data within the organization in a holistic perspective right I think

27:05 right I think some teams get relegated and put into a into the box because they’re they’re they don’t know how to expand outside the box or they’re just sufficient with like being happy generating data like reporting off of the same data sets that maybe they don’t need to do a lot of the collection in storage because it it’s a a very robust system that’s been around for a very long time right like because how many organizations are actively adding new data sources or inputs into

27:38 adding new data sources or inputs into the business all the time it’s not a really good point like some I would I would argue the vast majority of organizations have had back-end Data Systems Systems and or warehouses and or a lot of work done in the past where maybe you don’t need to do a lot of the ad hoc or new integration with new systems Etc I don’t know I I will I want to go wait don’t move on to that point I to go wait don’t move on to that point do you we’re gonna yeah go keep

28:09 mean do you we’re gonna yeah go keep going on that because I don’t want to leave that point there I want to come back to it because there’s I have some really interesting thoughts around that the back-end Data Systems of organizations and how and how power bi is changing that but the number of sources maybe not is changing as fast as we think it is sorry go ahead Tommy no I was gonna disagree I think there’s a but there’s a so an ecosystem out of organizations of unstructured data sources as an Excel files that people still use and rely on to transfer that goal across

28:39 to transfer that goal across companies that should be something that could be more seamless in a better process in a database or something in the cloud but they exist in smartsheets or and they exist in air existence the things that companies are going to constantly referring to that could be automated better but they may not be against War systems but they are relied on on marketing teams and sales teams and or operations still to this day are you arguing with a question right I’m just saying I would

29:11 question right I’m just saying I would disagree I would say there’s a lot more than just what do you disagreeing with I asked a question you asked a question yeah you asked do you think business intelligence teams that just find themselves in a box are ones where businesses are only just they rely on their Source systems and they’re the reporting team as opposed to an organization that has a lot of new sources to include it was it’s an open question so you’re you’re you’re saying there are

29:41 you’re you’re saying there are actually a lot of in in interrelated or ad hoc data sources throughout an ecosystem of a business which I would agree with 100 like business users use their own stuff all the time now we can get an argument of why are they using their own data sources instead of just standard ones are they pulling from there are they then doing all of their own processes that are all manual and there’s huge opportunity within an organization to get rid of all of that manual work and automate it and the bi

30:12 manual work and automate it and the bi team especially with power bi can handle that then 100 agree yeah that’s one of the biggest power moves that power bi has related to enhancing the productivity of people within an organization right so if if that’s a talent or raise awareness point that a bi team should engage in because we have the tool sets that allow people to automate their manual processes I’m 100 on board with that so I want to you guys the question set there and I want to elaborate on

30:42 there and I want to elaborate on that a little bit more I think power bi has given organizations permission to explore newer back-end systems to support their company company where I a number of patterns that I see is I see an organizations start with hey we want to use power bi we start using power bi there are some small quick wins and or successes around it organizations typically look at Power bi going oh it’s a cloud platform I’m not sure you’re going to love it this is maybe a bit earlier on in my experience

31:12 maybe a bit earlier on in my experience of power bi now it looks like there is there’s much less hesitation to use power bi at all because it just works well it is at a much lower price point for organizations to get started and the immediate wins that the business likes from Power

31:29 wins that the business likes from Power bi there’s a really strong drive from the business side of the world to say we need to have power out we this we have to do this this is something we need in order for us to work and do our business so what’s happening is the business is demanding the tool the tool is cloud-based which is then easing that moment of time where the organization goes okay all right power bi works it’s secure we haven’t had any issues we know what’s going on all right let’s adopt more Cloud things and I think it to me it feels like it gives permission to the organization to say okay let’s rethink

32:00 organization to say okay let’s rethink our data strategy to some degree and so the value of power bi being able to enable the business and the success they have either with people just being more satisfied you’re able to do to your point Seth more automation on their own I think it’s giving some opportunity to organizations to say let’s rethink our back-end Erp system it was on-prem we’ve had good success with power success with power bi let’s try and move that to the cloud and I’m seeing the same Trend now actually ramping up even

32:30 same Trend now actually ramping up even faster around lake houses so a lot of organizations had these monolithic warehouses on-prem they’re the volume of data is increasing they’re starting to run out of space and limit and so instead of procuring more equipment to build the next bigger Warehouse on-prem I think this is also giving permission to say okay well we like power bi what can we use to bolt on to power bi the other things that I need to make Power bi more effective and then that’s this is the natural story of like look

33:00 is the natural story of like look RBI is invested in fabric Delta tables Lakehouse structures Medallion type architectures let’s focus on optimizing compute and not optimizing storage storage those are new conversations that I’m having and more and more organizations are are they’re becoming more accepting of that new thinking and the speed by which we can now develop things when we roll these out and I’ve got a customer on Five Years on data bricks

33:31 Five Years on data bricks and and Medallion Lake Art House architecture and they’re now deciding again making that they started with that they did like a very small project and now they’re like okay let’s kill our SQL Server we don’t need that anymore that’s a waste of time hey let’s kill our analysis services that we had in Azure we don’t want that anymore we want to go all to power bi so they’re actually seeing the consolidation of tools into one Central area that says we’re finding so much more value by managing less of these infrastructure pieces and we’re going to get into the job of managing Lake

34:01 Lake so that’s to me this was like this the comment there from Mark yeah we’re at a moment right now where things are getting more Pro cloud and and we’re seeing value from that and even though there is potentially the same cost it may be in some certain situations there’s more cost to going Cloud it’s the ease of management it’s the ease of being able to turn things on and just have it work that’s providing a lot of value like okay this is this is a better way of thinking about not having to do this massive capital investment to buy

34:32 this massive capital investment to buy new hardware we’re now going to make it more of an operational expense because now it’s a a service that we pay for for I don’t know that’s what I feel like I’m seeing maybe I’m seeing things a bit tainted because that’s the space I’m in I don’t think so at all right but in terms of business value right business intelligence teams are and I think one of the things that gets me excited about getting out of bed in the morning is you’re we’re uniquely the people who can go and to Tommy’s Point Auto automate

35:03 go and to Tommy’s Point Auto automate processes that are manual work with individuals to centralize data sets or figure out how if you have to do something manual you get the most out of it right Downstream and it’s that visibility into the Source systems or the data that is applied with business logic that comes out of these domains that is the value for the business because decisions start to be made off of that and ironically I guess the pitch would be the decisions

35:34 guess the pitch would be the decisions of your organization without any business intelligence activities whatsoever is completely fragmented and those decisions are being made by people that are doing their own thing probably on the same data sets that’s different well filtered or like so rather than everybody or an a business unit working off the same data right now you have like how many people working off their own thing and and that’s where you get into this problem of like differing numbers

36:05 of like differing numbers things don’t match up who’s making decisions are we just winging it because we don’t really know but that dovetails into Mike I think this cycle of where we find ourselves as far as like how how a bi team can engage excuse me engage with a business business because because those quick wins are hey business like to Tommy’s user Point I’ve got four different manual processes and I compile all these numbers so what does power bi able to do

36:36 numbers so what does power bi able to do you come in you connect all these sources you automate you pull the data together you now have a model and and as the business intelligence person you’re either doing this on your own with the business or better yet you’re engaging with the the subject matter expert in the business unit that would allow you to like really like fine tune and figure out like where all the data problems we have like is this coming from a source system and we have data problems that we need to solve for who owns that right like so as you’re going

37:08 owns that right like so as you’re going through this almost miniature exercise to provide instant business value and I think that’s where power bi wins is we’re automating something so you get visibility whenever you want to and if you’re doing it right from the from the perspective of looking at Power bi is and this solution is not the end state of how you would want to manage this data there’s a next phase most likely which is I’m connecting all these sources sources do these sources should they be part of

37:39 do these sources should they be part of a more Enterprise yes type thing yes correct the point where automatically cloud-based Solutions allow you to keep your foot on the pedal and just be like okay okay phase one business has their value phase two we’re gonna pursue because business is Gonna Want More value out of the data sets that we’ve curated and the next time they come around rather than this being a two-week project it’s going to be a one day project right and that’s

38:09 to be a one day project right and that’s where cloud-based solution like there’s no infrastructure costs there’s no planning six months ahead it’s cost there’s no time to Sure cure it yeah yeah oh I’m sorry yes I don’t own Hardware no Hardware costs yes I agree with that I don’t like I don’t need Dr like Dr from a standpoint of like now I need Hardware here and Hardware there right correct all of that is slow as opposed to oh we need to spool up this exercise and like pull this data together like how many different solutions do we have including fabric

38:39 solutions do we have including fabric which just makes it more easy for a business unit to go like from stage of yay we have automation now we have a centralized location for this stuff like wow that’s crazy okay let’s think about this on a larger scale and then ultimately like you’re building the Enterprise solution and what happens you have you end up back in power bi right like now I’m going to scale that original report and I’m going to put it on the Enterprise solution that so there’s this like really unique way we’re using the tool sets

39:09 we’re using the tool sets and I think has strengthened the the messaging that business intelligence teams have because you’re capable right yes you’re dealing with the parts of the organization that are like now I want it done now and like but on the other side we’re Technical and we know things take time time right so I can serve both of these Masters right as long as I’m keeping all of that in in mind and in Focus you said the magic word though and that’s them

39:40 the magic word though and that’s them allowing you to and that’s a big part of this we it is a hundred percent of what you said yeah we have this amazing ability to in a sense understand the business but then translate that into what they’re doing it’s like how would this work if you actually really want to report on this part of that’s I call like looking under the Rock and if you looked at a lot of teams processes and looked at how they’re actually getting to a certain point you’d be it would be scary because the amount of excel tables or smart sheets and just take the process is going to let us help

40:11 take the process is going to let us help you but again if you have a teams that are allowing you to you’re already there but I think there’s so many other things that or other teams don’t know like yeah we can really expediate your process and really structure this so you’re not asking those same questions every every month or you’re are not going through the same where do how do we get to this certain number that like we can go in but that requires teams saying oh I know bi can do this and I know they can help

40:41 bi can do this and I know they can help change our process and I think that there’s a lot of trust there that needs to occur there’s a lot of in a sense awareness too where someone goes hey let’s get bi involved not just because we’re at the end result and we want a number but because they can help us now in changing our process a little here so we can get it in the right way right and I think that’s where when we talk about adoption strategy and things why if if and wherever possible the highest up you can get buy-in the better off you’re

41:11 can get buy-in the better off you’re going to be because you’re and your sponsors you gotta have one yeah it won’t go without it because then then directives are made right like we have an objective and the bi team is going to go solve that right they’re going to engage with you I’m telling you you need to assist them in the objective like they’re because listen we we all know people within organizations love creating Fife terms right and sometimes they’re folks that are like you’re not touching my data oh no others are like

41:43 touching my data oh no others are like oh my gosh you guys like yes come in help us out like I need to produce this number and you guys are going to help me do that fantastic I love you right like so there’s gonna be a spectrum and it’s in those those ones where people don’t want to engage with for whatever reason

41:58 want to engage with for whatever reason and there are plenty that you need like that executive push down of like we’re gonna solve these problems as an organization right that’s where that helps a lot so I’m gonna so many thoughts that are going on here I feel like one of the moves here so One Core Thing One Core thought that keeps recording my mind I’ve had this thought multiple times as you guys have been talking is power bi and and what is going on with power query data engineering

42:28 power query data engineering lake house architecture Delta tables like all these things that are all coming together right now in this database which is very exciting for me because I really I’m really bought into this this because I I studied half my Master’s in data science and so I saw a lot of these things coming way before they were actually being widely adopted and I was like okay I think this is I almost had some of those moments around Delta tables being like another aha moment for me like when I saw power query power query was like oh my gosh this is going to change fundamentally

42:59 this is going to change fundamentally change how organizations do work in data purely from the business side and I saw a very similar vision of like Delta tables is this other very similar thing that’s like wow we’ve been wanting to build Lakes of information and data but it’s so unwieldy to manage oh now we have this great SQL database like table structure that makes it incredibly easy for us to manipulate and add data and at scale which is incredibly amazing but I I think when I think about the power bi space of things focusing on just power bi it has really

43:32 focusing on just power bi it has really commoditized cloud and it has commoditized the ability to engineer data albeit at smaller volumes because I we all agree power query can only do so much and it starts falling over at some point right if you build things inefficiently but those two factors has made the ability to collect manage make cubes and again if I’m talking to it terms right the cube making process used to be only held by a few people in a very expensive machine

44:02 few people in a very expensive machine that only a couple people could do power bi came in and said hey give this you can now all make cubes for free you get a cube and you get a cube and you get a cube like they’re everywhere and so we don’t even talk about them as if they are data cubes anymore we’re now just looking at them as a data model so we’ve even changed the terminology around what a cube is being built in and now we see with fabric is now we’re seeing this blurring of the line between SQL and the lake and now the cube like it’s all one object now which is amazing love it I think this is the

44:33 amazing love it I think this is the right move but because everything has been commoditized I think we’re finding now in organizations an organization doesn’t need to have as large of a team in data anymore to do the things at scale that they need to do I almost feel like and I was actually working with a client a long time ago that was talking about he’s he would he would tell me I don’t need a lot of people on my team there’s a lot of people on the team that need to keep things running and moving the way they are I need two or three he called them like ninjas experts or unicorns

45:04 them like ninjas experts or unicorns unicorns he said I just need two or three unicorns and those people we give them a the hardest project we can find we don’t we don’t have them working on simple or easy things we give them the most difficult challenge in our organization to solve because once you solve that most difficult thing everything else starts falling in place because everything else takes less time less hard it’s not as challenging so to your point Seth I want to go back to wrap this all together now right so that wasn’t another thought I had and then Seth you’re talking about adoption strategy one thing I’ll say is if you do

45:36 strategy one thing I’ll say is if you do not read or study the adoption roadmap you better stink and go do it because the adoption roadmap on Microsoft’s blog written by Melissa Coates is phenomenal it works really really well and I’ve used it with a many organizations and consulted with them and literally people are like I don’t have an executive sponsor we don’t have a really good direction here and they follow that thing to a T and and they go into leadership and say here’s what I built look I’ve got a Community Practice look we’re going to form this thing called

46:06 we’re going to form this thing called Center of Excellence look we’ve got these policies around things we’re going to do or not do with data and the organization doesn’t even know they’re missing this stuff they don’t even have a clue that this is needed and what happens is in more often times than not the people that learn and study how to provide guard rails for deployment and governance on your organization they immediately get success right from the organization you deliver quick wins yeah leadership loves it and you get means all of us I think would say all of

46:37 means all of us I think would say all of our careers have been built on at some level doing the adoption roadmap and it has opened more doors for us by doing those things it’s like that’s because it’s because you’re keeping strategy in mind right yeah how how you’re implementing things now is is a stepping stone for a vision that you have right and that’s what you continually need to do it’s the same thing as an okr objective right it’s not something you’re going to be able to crank out in a week the overall objective has a lot

47:07 a week the overall objective has a lot of key results that have to line up and get you down the road 100 that’s a well thought out thing and I think many many people all throughout levels are executors only right yeah objective yeah that’s a really good point every day you have to at least on a weekly basis be like am I on track am I on track and I think like the point I like to make in here Tim Mike that I agree with you I’m Tim thank you for now on I honestly is to dovetail on what you’re saying I

47:38 is to dovetail on what you’re saying I think the strongest bi teams do reports they shouldn’t do all reports yes my goal engaging with business units is not to take over their reporting no no we want to enable them to support them yes yes I agree from from a ninja’s perspective yes you absolutely have the people who are just cranking like key reports right or customer facing report or things that are leveraging Enterprise systems there’s a component to that but

48:09 systems there’s a component to that but there’s also members of the team that are deeply engaging with those business units and guiding them and building yeah their their skill sets up as you go along and I think like there there’s one other point I wanted to touch on related to like the ecosystem of fabric in these teams and how you build up business intelligence with an organization the reason like power bi is part of that and fabric shakes this up a little bit because it jumps directly into

48:39 because it jumps directly into building the infrastructure right Enterprise infrastructure that can scale and the reason you want to do that is because it gives you a launching point to combine data sets and introduce other other types of data professionals related to the heavy analysts the data scientists where you start to do Advanced analytics right because you can’t get into predictive prescriptive all the fancy machine learning models

49:09 all the fancy machine learning models all that stuff without a base of data that you’ve already insured has the appropriate business logic and is quality before you start throwing data sets at these sorts of folks because you want a hot mess that’s one where it’s like oh we’re just gonna we’re gonna pull it out of an Excel spreadsheet we’re gonna like create models of like no man it’s not how it happens right you yeah you level up but the business intelligence team data engineering like all of that is part of this ecosystem of there’s a starting point

49:42 ecosystem of there’s a starting point and your progression as a your progression of your data data decision making and culture are a direct result of this team engaging with the business and leading it towards that charge of comprehensively putting value behind the data that is in this ecosystem yes Mark says something in the chat here that I think is very relevant here and this is how I’ve observed it and I would imagine you guys are both all seeing the same thing right we all started by building

50:13 thing right we all started by building expert awesome reports right we start there we snag some data it’s Maybe One Source it’s not a lot of things we start building some reports we start finding some value and now we start finding ourselves going well we need more data we got to engineer more things so this is this is a natural sales progression that I see as a consultant this is all the time this is occurring and then what happens is the question comes from there is when we need more data would it would be these reports would be more impeccable if I grab this extra source or if we have a subset

50:43 extra source or if we have a subset exactly the rest of this yeah pull all the rest of it in and so and so now your strategy moves from okay we’ve made some quick wins with reports we’ve got some power bi stuff up and running people are starting to get comfortable with it okay now we’re really moving the needle and we’re saying we’re now building back-end stuff now you need to educate on what is a lake house what is a medallion architecture and like one thing that I think has been very interesting here initially when Microsoft landed on this whole lake house experience they were not initially talking Medallion architectures they can started

51:14 architectures they can started saying like raw transformed and like curated they had their own terms for what that was doing but I think now they’ve actually in more of their recent language it sounds like they’re just adopting it because it’s resonating with people there’s this the bronze layer which would be your equivalent to your raw data you have your silver layer or you groom and transform and filter and clean that’s that’s the quality portion of your data that you enhance and then the gold layer is okay this is my service layer this is the layer that I give to other people either in its services directly data sets or IT

51:47 in its services directly data sets or IT services hey team I’m going to expose these gold tables to you directly there you in that area you can now directly interact with those tables and build on top of those read-only tables this is really impactful I think anyways I think Mark you had a great point I just say I resonate with that and I think all of us would also say that’s a very common pattern that we see with organizations we start with reports and we go deeper in the end well I think in order for us to get there with organizations we need to go from less

52:17 organizations we need to go from less being reactive to requests for reports and I always think about how we become more proactive because what I think bi teams can fall into the Trap of where

52:27 bi teams can fall into the Trap of where we start building reports great now you’re my report Builder that’s going to be your role but one thing that I I found to be almost like a magic here to getting bi to be more front and center and I called the million dollar meeting and it’s basically the bi team representing on a quarterly basis meeting with departments and basically just saying if you got a million dollars what would you have rather than well we just need this report now so just we’re going to meet you whenever we need this report it’s like well what are your

52:57 report it’s like well what are your problems right now almost having these calls so those items come up and it’s more than just reports oh some people are going what would be great like we have all these systems right now we’d love to get this to you it’s like oh well we actually have a we can do something here we can actually pull this in and engineer it for you really yeah so let’s bring this in and we’ll have that conversation oh we’d really love alerting it’s like I struggled with your I struggle with your comments I struggle with them on one side side on one end I to your point I

53:28 side side on one end I to your point I get it I still feel like and maybe this is just me interpreting how you’re saying things Tommy like on one end I feel like you’re saying bring it to the bi team we’ll figure it out we’ll get you back a report I don’t like doing that like I’m not I’m I’m I feel like I’m more and maybe this is just the way I’m interpreting your comment there which could be I could be a little off base here but I feel like what I would like to do is to enable or push people to like how can we how can we more we more let me just say this way I’ve had some recent interactions with some companies

53:58 recent interactions with some companies where they’ve done a really good job of getting the message out there about what they’re doing with power bi they’re releasing it to the organization they’re giving some more capability and in doing that what is happening is the teams are coming back and saying hey look you’ve spent all this time to make this Central model it meets some of our needs and we’re happy that we can now get access to the data make our own tables but I have this specific need and the the questions are being articulated in a much different way now and now that we have context of this main data set we were able to now

54:28 this main data set we were able to now address these issues that are more nuanced right it’s it’s we have this Central data model We Now understand more of what this special use case is but what we’re finding what I’m finding is it’s very helpful to have like we as the central team or even the Coe we are more around policy governance Education data culture yes we build some reports yes we handle a couple main key data sets but our whole goal is not to

54:59 data sets but our whole goal is not to build more reports it’s more to interact with that team member or teams themselves and say okay here’s what we built this is what we’re standing behind we’ll explain what we did here you go business comes in and says I’ll use it and then it’s like I need to it’s different does that make sense hang on to your seat look at your seat I’m gonna agree with Tommy and say he was oh yeah on that path man like okay all right sorry I’m just misinterpreting then okay it was was proactively engaging with the business to solve the business problems

55:30 business to solve the business problems not being a report generation yeah okay okay okay good as long as that point that I’m with you with me extremely into all the listeners who are in a team that is just pouring out reports that’s a dangerous spot because if you’re the team doing all of it you have to be very cautious about being the easy button for lazy people thousand percent yeah everybody’s fire is your fire now right and that is where as a team having a

56:04 and that is where as a team having a workflow and we’ve talked about this at nauseous how do you have a workflow like whether it’s jira devops like whatever the case may be where you’re managing how those work items come in you’re managing expectations and forcing other people to understand how a process works works it’s the only way you can guard rail against like yes the the flood of of requests yes at the same time it also gives you visibility to say like oh my gosh like all of a sudden this month we have like

56:34 have like 50 requests for the same report and the only difference is like this thing let’s just create a one specialization yeah right fixing fix it yourself yeah that’s part of why you build and manage that framework because to Tommy’s Point like you don’t want to be the report Mill and and you you fail as a business intelligence team if you’re not doing things like Tommy’s million dollar meeting where you’re engaging with the business proactively to solve the big problems problems because otherwise it does become the

57:04 because otherwise it does become the lowest the volume of requests are typically the information workers and business units yes and they shouldn’t be driving what you’re doing right you should be engaging with the managers and leaders of the business units to make sure that your team can produce something that’s reusable for their org and guiding that really right yeah so I agree with you 100 Tommy I am floored and and humble but no so let me let me I know we’re at the end but

57:34 me let me I know we’re at the end but I’ll quickly break down the agenda of that meeting so I think I’ll be a big help our meeting is try to be with a subset of a team if you have a large sales team Northeast region first 20 minutes going over bugs things that maybe are broken just to see like where they’re at what are they like and what are they not and then the rest in again it’s communicated it’s not what requests do you have it’s going through what initiatives of the sales team have what would be nice for them to have and we always phrase it if you have had a million dollars and a thousand people working for you what would that have

58:06 working for you what would that have what those meanings occur to Seth point is the Big Ideas the the initiatives rather than that you’re thinking you rather than that you’re thinking just build this report for this one know just build this report for this one system to go we are actively doing this and not even thinking of reports you will find as being that unicorn that ninja oh well we can actually do this really easily oh this actually goes into something else we’re talking about and those conversations allow that when the other departments to see that

58:36 other departments to see that advisory that role of where that plays in a bigger picture but then the other side of it too where it’s it’s not necessarily going to Output just to report it may output let’s actually help you in that process to get there this is awesome and in the chat here Donald’s talking about like this the data Sensai Sensei you the data Sensai Sensei something and then this brings to know something and then this brings to mind what James Bartlett has done at his organization which is talking about the data dojo and I put his links for his two blogs which I think are highly well very good reads he’s thinking a lot

59:09 very good reads he’s thinking a lot about it he’s a great thinker on like how this is working and I really like James approaches of like the dojo like we’re a community of people we’re getting together we’re sharpening some skills and he gives some great feedback right here’s what I here’s what our first Workshop looked like here’s what our second Workshop looked like oh by the way here’s some things that we missed right he does a great job of saying like as you’re building this data culture we’re talking about here we speak mistake number one failing to keep a consistent schedule failing to keep the conversation going on teams or something else let’s engage that

59:39 something else let’s engage that conversation let’s get people excited about it and getting engaged there and then a mistake number three letting perfect be the enemy of good and I iterate iterate iterate like a lot of times I’ve got people all over that I work with I’m like look just get it out the door we just need something we need don’t let perfect be the enemy of good because it will never be a hundred percent perfect and you’ll never get it out the door so let’s just get something out the door something is better than nothing and we can always come back and

60:09 nothing and we can always come back and fix it and refine and find out where the edge cases lie and and find those and make them better it’s also where change management helps too because true statement because you may not be the perfect one it may be somebody else who’s who doesn’t know and sees the art of the possible with your report oh here we go and it’s like oh now I need this now I need that it’s like no no no no you don’t now just go back to the end of the queue right and I’ll come back you compile all of the things you want me to ask and we’ll add that in a second okay great great pool

60:40 that in a second okay great great pool out there so thank you all very much we appreciate your time everyone in the chat thank you so much for joining in and talking and communicating around the stuff this is great lot of good ideas coming from chat so I thank you for enhancing and talking about the conversation with us we really appreciate your ears and we know this is a big commitment of time two hours a week every week for the last two years you’ve been well not everyone but you you’ve been well not everyone but some people have been joining us so know some people have been joining us so we do appreciate you coming back over and over again if these topics are helping you out if these topics are

61:10 helping you out if these topics are encouraging you to think about these things and think about process we really please help us get this out in this message after that are more people we just love doing it we love talking about it we love this community it’s exciting so share it on social media if you’re at the in the office and talking to people just say hey this is a great podcast this is cool you should listen to it check it out you’ll find some value and I I hope this if anything anything I hope the the principles and the things that we’re giving you is making you more money you’re getting new opportunities in your job like hopefully it’s going to refine things so we really

61:40 it’s going to refine things so we really appreciate you please share it out and let us someone else know that this is some good stuff as well Tommy where else can you find the podcast you can find us on Apple Spotify wherever you get your podcast make sure to subscribe leave a rating helps us out of time if you have a question an idea or a topic that you want us to talk about you want us to do on a future episode head over to powerbai dot tips slash podcast and you can leave us a question or topic or idea finally if you want to join us live you can do so every Tuesday and Thursday 7 30 a. m Central on all

62:11 and Thursday 7 30 a. m Central on all power bi tips social media channels excellent I always feel like tell me when you say like you should if you like what you hear if you if you like what’s going on here tough luck you should just yeah do you have some feedback you gotta show up live up live I know it was good it was nice I’ve actually written it down now [Laughter] awesome thank you all very much and we’ll see you next time

62:55 foreign [Music]

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