Strategic Planning – Ep. 277

Strategic planning in BI sounds like bureaucracy until you’ve lived through the alternative: endless ad-hoc requests, unclear ownership, and a backlog that grows faster than you can deliver.

In Episode 277, Mike, Tommy, and Seth work through what BI strategic planning looks like when you treat analytics as a product: define the outcomes, agree on decision rights, and create a roadmap that’s realistic for your team and data landscape.

News & Announcements

• Incremental refresh on Delta tables in Power BI (Cross Join) — Clear guidance on implementing incremental refresh when your lakehouse tables are Delta.
• BI strategic planning (Microsoft Learn) — A practical framework for turning ‘we need better reporting’ into a concrete strategy, operating model, and plan.
• Submit a topic idea (Explicit Measures Podcast) — Share the scenario you want the crew to debate (or the mess you want help untangling).
• PowerBI.tips Podcast — Subscribe for new episodes and browse the back catalog.
• Power BI Theme Generator (Tips+) — Generate consistent report themes for your org.
• Mike Carlo (LinkedIn) — Follow Mike for Fabric and Power BI consulting notes.
• Seth Bauer (LinkedIn) — Follow Seth for engineering and platform learnings.
• Tommy Puglia (LinkedIn) — Follow Tommy for analytics and Power BI content.

Main Discussion

A BI strategy isn’t a slide deck—it’s the set of decisions that keeps the team aligned when requests compete for attention. The discussion emphasizes starting with outcomes and users, then putting just enough structure in place (ownership, standards, and governance) so delivery stays predictable.

Key takeaways:

• Define the outcomes first: what business decisions should get faster or more reliable because of BI?
• Document the current state: data sources, report inventory, refresh reliability, and the manual workarounds people depend on.
• Clarify ownership and decision rights: who owns data products, semantic models, certification, and workspace standards.
• Make governance a delivery accelerator: templates, conventions, and guardrails that reduce rework instead of adding process.
• Build a roadmap you can ship: focus on a few high-value domains and deliver end-to-end value (data → model → report → adoption).
• Treat adoption as part of the project: training, office hours, and documentation so solutions actually get used.
• Measure the health of the program: usage, refresh success, performance, and time-to-deliver—not just how many reports exist.

Looking Forward

Strategic planning is what turns BI from reactive reporting into a program that scales—because the team agrees on priorities, ownership, and what success looks like.

Episode Transcript

0:31 hello everyone and good morning again welcome back to the explicit MERS podcast with Tommy Seth and Mike welcome back in happy Tuesday W almost the holiday season someone is ready for a break off man I am I am raring it is the season gentlemen well this is what happens when you work really hard all year long and they’re like you have too many vacation days you need to use it or lose it and you’re like like oh shoot I got all my vacation

1:02 like like oh shoot I got all my vacation at the end of the year if only I didn’t have unlimited time off oh okay that’s how that’s how your company works the voice you just did could absolutely be a Christmas character voice happy Tuesday past or something I don’t know happy Tuesday voice happy Tuesday past wow yeah that is a thing huh yeah you never read that story as a kid yeah that was my favorite yeah course

1:33 yeah that was my favorite yeah course course what are we talking about today Mike so today’s our main topic is going through an implementation article so that Microsoft has on their documentation implementation planning for your powerbi environment particularly there’s actually a lot of sections in this one so we’re just going to start with strategic planning that’s this the area we’re going to talk about initially here so very good article love the content that’s in here and this follows a lot of what guidance you’ve already probably seen in the adoption road map maybe weaving a couple more ideas together between the executive spor sponsor the center of

2:04 executive spor sponsor the center of excellence how to really get things done in order to roll out your powerbi environment great article I don’t know who’s written this one actually I I didn’t check out the the writers of this article this feels like says one contributor Peter Myers Myers he’s done the whole thing no so Kurt actually messaged us and let us know that the contributor is always the last person to edit the article does not mean they wrote it yeah yeah but I thought like contributors to the article right like

2:35 contributors to the article right like it it logs all of them that was my like you look at other technical documentation and 100% there’s always more than one that’s a good question kurk no KK commented on our last video and he said love the podcast guys just letting you guys know that I did write the article this was our last adoption one on the change management yeah I think that speaks to I love both these guys so like sorry for the confusion if you wrote this let us know because you’re

3:06 wrote this let us know because you’re awes yeah so I it it has flavors of Kurt I think written I’ve read enough of his stuff that I feel like some of this aligns to like his language and how he talks about things and the organization of thoughts here so I can’t tell based on the graphics alone if it is him however he did he did recently release an article that he now uses figma for everything that he does graphically so now he uses figma has changed his workflow and now is almost 100% using figma on everything now which I’d highly recommend it’s a great tool and I use it for all my graphic stuff as

3:37 and I use it for all my graphic stuff as well that is the case if that is the case Microsoft come on you got to put more people on the cont contributors like got to get them in the contributors there for sure why why is your learn. Microsoft only allowing one contributor that seems like a Miss anyways moving on that’s our main topic you guys our main topic any openers today we do things to talk about let’s talk about so one article I just want to bring up here really quick and I think Tommy’s got another opener as well I have been whing

4:07 another opener as well I have been whing about this feature for probably about five years pretty much since I’ve been building lake houses there this is a topic that’s very near and dear to my heart Chris web has just recently gone out to talk about the Delta tables and how you can use Delta tables to incrementally refresh or load data in powerbi semantic models so the article is let me put the article here in the chat window this is the article that I’m referring to very good article

4:39 that I’m referring to very good article just came out this is using the new direct L. T function from M and direct lake. table is able to read the definition of the Delta table and if you are using the same partition pattern of the incremental refresh which is by day if you if you partition your information the same way you can directly link powerbi the semantic model right to Delta tables and

5:10 semantic model right to Delta tables and it will quote unquote partition prune not access the files that are not required to load the data into powerbi thus speeding up incremental loading immensely using Delta tables alone so here’s what people are going to be like wow wow Michael that’s so technical here’s the here’s the Crux of this thing right Delta is amazing it’s this great format it stores tons of data it’s supposed to be hyperscale volume up until this point you were required to

5:40 until this point you were required to have some compute engine to read these Delta table things so initially Delta table was made for spark so spark was able to read it SQL serverless started reading it so there was two compute engines that had this now this also should work for power query so now power query is joining the fun here so a power query online or any of the data flows they will also be able to use this Tech and now the semantic model also is a compute engine that can talk to Delta tables directly read them and not read the partitions that are not inside the M

6:11 the partitions that are not inside the M query to load the data this is huge and if you’re wanting to save money you’re wanting to do this more efficiently this feature alone lets you kill the entire synapse environment you don’t need synapse anymore w anymore w so this feature alone to so what I had done in the past architecturally wise was build tables and data using data bricks I would use a pipeline from synapse to run the pipeline to

6:41 synapse to run the pipeline to orchestrate the things together this feature was not available so I had to use SQL serverless from synapse to go access the data okay no big deal however with this feature I now no longer need the SQL server list and I also don’t need fabric to read it either I can just just have a semantic model go pick up the data that I need so I’m doing some testing on this initially I haven’t gotten through my test all the way through but I’m trying to prove that this works and it can talk to tables

7:11 this works and it can talk to tables that are made outside of powerbi premium or outside of fabric to make sure this all still works the way I would expect it to so really good article I think this is a very pivotal moment for powerbi because this is going to fundamentally change your architecture this is an architecture change that you can adjust so I think architectures now for solid it groups should be thinking about asure data Factory they should be thinking about making data bricks your a data engine

7:41 making data bricks your a data engine tool that you’re going to do the manipulation with and then you should be looking at this feature to then from those completed tables picking up your data and lifting it into powerbi so really cool feature really like what’s going on here highly recommend the read on the article this will change how you do things things this this to me this is literally the game changer this goes back to this one deer this goes back to our conversation we’ve talked about the like unintended consequence of fabric is the elevation

8:13 consequence of fabric is the elevation of all the features in powerbi no no no it the unintended consequence of fabric has been Delta is on everything right to me like that to me that’s the secret sauce that has been making this so much better to work with and make me even really interested and using fabric all the other things you had like the things that are in there are like okay they’re there but like I had them already in synapse and in ADF I everything we’ve looked at now so far has been existing somewhere else inside

8:44 has been existing somewhere else inside the power the Microsoft ecosystem yes and no but Power query the elevation of power query as part of one of the major ETL tools or allowing all this they are really elevating power query here I completely agree with you with Delta tables you’re just going to see more with power query being part of the major process not just in the semantic model I disagree I don’t think I don’t think this is an elevation of power query I think this is just power query catching up to other more modern tools to me power query could not talk Delta tables initially power query was writing

9:15 tables initially power query was writing CSV files to yeah a lake house so in one way power query hasn’t gotten any new features it’s still not parallel threaded it can’t do things multiple times it’s it’s not as fast as these other engines that are able to do this so it’s still not quite there it’s definitely getting better but this this is a it’s it’s the the Common Thread that I see is different here is Delta the verac engine can now read Delta tables with this new M function we now have Delta tables

9:46 M function we now have Delta tables being produced from data flows that’s huge we now have this whole thing called direct Lake and we’re now able to repack these Delta files in a way that powerbi can read them more efficiently like everything I see here indicates to me like Microsoft has embraced the Delta story and they’re building on all the products and it’s making everything easier to talk to each other which is huge the fact that it’s accessible yeah is a major and I think I think this is what Microsoft’s figuring out too to your point they like

10:17 figuring out too to your point they like oh Delta everything wow this could actually work in this other product well let’s try this out and now that brings a to your point a whole new architecture which yes I think I think we’re seeing some of the features that they weren’t intending from the onset now because they’re they’re realizing that they connect these dots they see these Bridges like oh well we can actually create this feature in something that was not planned like in power query or if we do Delta everything that opens up whole other more doors correct and

10:48 whole other more doors correct and there’s also every major data tool that is out there at this point is is it’s either snowflake or it’s something from powerbi I think at this point for for reporting purposes so I point for for reporting purposes so now that Microsoft is doing this mean now that Microsoft is doing this Delta format the Delta format is not far away from the iceberg format is which snowflake uses and it’s the same big Tech spark Technology as well so I could very much see it being a easy integrator between all things that are powerbi and it just starts to work

11:19 powerbi and it just starts to work better anyways very good article this is very important for you to to read up on

11:25 very important for you to to read up on understand it this will fundamentally change how you design things and essentially it could speed up or increase your speed on importing models because you’re now able to provide an incremental refresh down to a Delta table table directly all right that’s a big one Mike I thought yeah I don’t I’m so far in the Weeds on the things things I other people don’t see this I don’t think other people will see how big of a

11:55 think other people will see how big of a move this is and how important this is for people to understand like you need to understand what this is doing this is important to understand that’s all I’m going to say you just told everybody so now they I know that’s why I’m on the podcast all five of you will now know how important this is and you will go and learn it and save so this will this will save you a lot of time I think and money on your processing of data if you start embracing this and figuring out how this works for your team this this could open the scale of volume of data to what your models are doing pretty easily I think anyways all that being

12:27 easily I think anyways all that being said Tommy you had like a scenario another opener here as well on the other side of this coin I’ll try to keep it quick because we got a lot to cover today we’re dealing I was brought in with the client a little later in the game of the adoption and it’s one of those scenarios of how do you show the value of powerbi if powerbi is getting implemented I don’t want to say wrong wrong but without best practices so the scenario is I’ve been brought in I’m trying to work on these calculations that are taking forever to

12:58 calculations that are taking forever to load they’re like hey solve it with Dax okay we’re going through it but you realize many to many relationships two fact tables relating to each other bir directional filtering and we’re going through we’re going through some of the dax’s best practices we’re trying to go through and get the accuracy of the number needed with also making this actually show up in the report and trying to prove to the client or trying to really prove in the project no powerbi works right but they’re

13:28 no powerbi works right but they’re coming from from Tableau they’re coming from other sources and this is still the other side of the coin Microsoft’s coming out with I I love the contrast here Microsoft’s coming out with these amazing this Milestone today or the Milestone Chris Webb talks about yet we’re still seeing projects teams and organizations behind the ball with best practices I just want to ask you guys how do you handle situations when you’re trying to say the value of what powerbi I can do

13:59 say the value of what powerbi I can do when the best practices are not there and you see the frustration already this is so is so common well this is I think what you’re observing is something I see quite often is companies come in and overestimate their capabilities in powerbi that’s a great way to put it right so they’re they’re the companies will show up you say how good are you in powerbi or what do so far models are not in Star schemas things don’t work very well we can’t get all the data in quick enough things start

14:29 the data in quick enough things start right so I’ve had a number of clients that have started with powerbi they thought they knew how to run it or they had me build some small things for them and I handed it over to them and they didn’t give it to someone who actually has studied or thought about powerbi so one of the one of the service offerings I give as a consultant is hey I will help you hire the person to do this full-time in your company because you don’t even know if you’re a hiring manager you don’t even know what you need to ask to understand if this person even knows what power is is doing so how

15:00 even knows what power is is doing so how can you hire the right person to continue to support technical things that you’ve never done before and in one way I feel like a lot of companies are just a little bit naive there right oh I I went through now they say they know how to do powerp they they talk that they can make visuals they can do yeah but it’s way more than that it’s it’s modeling it’s understanding architecture of data it’s star schemas the there are deeper questions you need to ask and having someone on the inside who actually knows how this is very helpful so there’s two ways this

15:31 is very helpful so there’s two ways this goes one way is I’ve seen the company Embraces powerbi and they say well okay let they are willing to listen and learn and they make changes and they you start slowly chipping away at those main problem areas why is the model slow this doesn’t work very well this Dax is super complicated well that’s because your model designs usually junk that’s usually where it starts from so you help them build a better model you help them understand that you need need more data shaping to so that the powerbi can run

16:01 shaping to so that the powerbi can run efficiently and run smoothly so that’s that’s One Direction the other direction I’ve seen is companies just say this is too hard we can’t figure it out powerbi is not a fit for us and they leave powerbi and they go back to whatever they were doing and so it is what it is they’ve made the decision right but just because your company has a lack of skills doesn’t mean the tool is insufficient and and that’s usually I find it’s you

16:31 and and that’s usually I find it’s you for me and what I’ve observed it’s usually a skills Gap is where things get challenging so how do you so the plan as us as consultants is how can I help you close the skill Gap as soon as possible to help your team feel more confident about what we’re doing that’s how I see it I don’t know any thoughts Seth on your side yeah I think where where I’ve gone and you probably have this Tomy to some degree is just a method methology for engagement especially if you if you see

17:01 engagement especially if you if you see the same repetitive things over and over because ultimately when you’re stepping in really it’s understanding what their needs are but at the same time providing options for direction right and like part of that I think it what’s really helpful is having a visual representation of your Basics right here just so here’s how I engage right here’s the first thing I look at if we have breakdowns here this is going to cause larger problems here

17:31 is going to cause larger problems here if we if we have issues here that we need to solve that’s fine blah blah blah but that’s where like the foundational things of you have power query connections that are 50 steps and all mixed up and that’s why your ingestion is slow if you don’t fix that then you’re G to like it’s always going to take forever to load data if you don’t have the right model right like you’re describing nothing is going to work well so we have a couple options

18:01 work well so we have a couple options right so like if we’re in this Square what I’ve identified is we have a significant breakdown or an issue with the way the model is is built we have two two two two options right we can do I can like hear what the problem is you brought me into to solve these calculations we can do that I like not can’t guarantee performance and we can realize like me stepping in and helping you but you’re going to you’re going to run into another problem instantly after I’m done right or because the problem

18:32 I’m done right or because the problem exists in this foundational layer in the model we can fix this first then we can guarantee performance and then after I leave you can scale right so so you’re just I I think it’s it what the most important part is clearly articulating the two options because they are choosing if they say no just give us the calculations they’re choosing the one that is going to create is solve their immediate problem without solving things long term so and I yeah no and is really

19:05 long term so and I yeah no and is really it’s it’s something you don’t necessarily think about all the time because you expect the standard model the outcome of this I I’ll just let you guys know was like we created like a Rules of Engagement for for their organization of hey your models since this is obviously a not onetime issue your models have to follow these practices and we’re writing that down to make sure that’s implemented so these rules of engagement for any model and funny enough too if you read any of Marco Russo or Alberto Ferrari’s

19:36 Marco Russo or Alberto Ferrari’s articles on Dax and the complications not one of them has a dard model they’re all following a standard whether it’s a snowflake schema or Star schema I and I’ll eat my words but I don’t think any article he’s dealt with is like a many to many or something where it’s really convoluted it’s all about the situation right and so wayed and that’s what that’s what the outcome is we’ve we had a backtrack to go look this powerbi is straightforward

20:08 go look this powerbi is straightforward and it is easy however you have to have your cards in place first you have to have your house in order before we’re going to be able to do what the the art of the possible well the question the question goes back is huge yeah the question goes back to is do do these people have the ability to do the data engineering outside of powerbi usually the answer is no when powerbi gets really difficult the backend systems that you need the engineering of the data that you need to do to make

20:39 the data that you need to do to make powerbi hum is not available to those users and that’s and that’s usually a major weak point that I find it’s not the data is not shaped correctly and that’s just foundationally like it’s a model driven yeah reporting engine and if you get your model wrong you’re in trouble right if you’re in trouble and frustrated that means to like you go to any one of Alberto or Marco’s talks and and I I distinctly remember multiple times where it’s like

21:09 remember multiple times where it’s like if you’re if you’re encountering a very challenging Dax problem go fix your model first Chicago like yeah you can you can solve these things with 20 30 40 50 line pieces of code like Dax code and yeah like create your own relationships within the measure and all these things or or or or you can go fix the problem and that sometimes it’s harder to do you have to reimagine relook at like your model and everything you built on top of it so far but yeah it’s long term

21:41 it so far but yeah it’s long term yeah yeah and this bodess actually pretty well with the article today and I think what we’re going to be covering on Tuesdays Mike I’ll let you take it away on you talked about the hook where’re what we’re going to be doing these Tuesdays now yeah we’re going to so this is transitioning into our main topic here and I think this is a very good idea here is implementation planning so we’re going to try and do a couple series there’s a lot in the implementation planning area and that Microsoft has recently published there is strategic planning

22:11 published there is strategic planning tactical planning solution planning and we’re just going to tackle on Tuesdays we’re going to do like implementation Tuesdays right so we’re going to do a couple Tuesdays here of just thinking through what these different bi strategies go through and we’re going to spread them out here a bit so it won’t be like back toback but the idea here is we’re going to go through this article and actually talk through this is a lot of great guidance we’re finding a lot of value in holding to these ideas and working through these terms and Technologies and it’s also aligning people on what is a center of excellence what is a community

22:43 center of excellence what is a community practice who does what what responsibilities rely where do you have an executive sponsor and how do you work

22:49 an executive sponsor and how do you work with them right there’s a lot of really good things here and Microsoft has a lot of great guidance in this they’ve been talking to large very large organizations who have been really like dealing with this and and getting them into powerbi and providing a lot of support there so they have a lot of knowledge to to dive back into here’s how this is going to work so today guess we should fully transition over then let’s jump into the topic for today the article that we’re going to touch on here is strategic planning part of the implementation planning

23:19 the implementation planning documentation that Microsoft has provided here so let me I’ll grab that one really really quick I’ll put that in the chat window as well it’s also in the description of the video down below so here’s the first conversation that was last Tuesday right talking about business alignment yeah it’s funny you go through this article and if you’re a listener if you’ve been listening to us for for a long time a lot of these words here we’ve touched on and I I think about all the conversations we’ve had around adoption

23:49 conversations we’ve had around adoption implementation I think that’s all near and dear to our hearts this starts off this article starts off about goals objectives and what the differ differen is and I love because if there’s anything that you take away from I think what I’ve learned from honestly talking to you to is we don’t do anything in a vacuum especially in data and in bi you don’t just build a model in the vacuum and the success of business intelligence the success of a healthy data culture starts with defining a goal and

24:19 starts with defining a goal and objective and they are not the same thing yeah my my GAA into the mic on here was if if you are deeply ingrained in okrs or ogsm or whatever like this one threw me for I’m like okay wait h Huh what goals are goals are the highest level and then what like so yeah it is worth noting the purple box note right so understanding

24:51 purple box note right so understanding what the definition of a goal is versus an objective and then their process so because they they do it slight they shifted slightly differently yeah it’s funny I’ve been on so many strategy calls when I was internal working now and they’re implementing or doing a project around data but it’s never been defined or how they’re going to measure what the goal or the more importantly the objective is it’s we’re doing this and then you have this postmortem call

25:21 and then you have this postmortem call or this closure and they’re like okay we did it and there’s not that sense of have we succeeded in that I’m amaz I’m amaz and it probably happens more than just data I’m imagining this is a this is a virus in a lot of organizations that don’t have this defined we just I just see it from our point of view but it’s amazing how much implementation is done in technology especially with data where it’s done but there’s never been before like well why are we doing this and what

25:51 like well why are we doing this and what outcome should we see at the end of this how crucial is that that and yeah well you can’t measure success if unless you define it plain and simple right if it if you haven’t called it out and said here’s where we’re going this is the goalpost we’re walking to that direction how do if you ever got there yeah you wouldn’t go on a trip without a map right so you’re just going to start walking and not have a direction yeah doesn’t make sense I

26:21 direction yeah doesn’t make sense I wonder I I was thinking about this I was reading about it about the goals and objectives and I was going why is that a common cause why is that more often than not in business intelligence projects are done without the measurable objectives and going through the article and think about it the first step in the strategic planning is assemble assemble or working team so I was starting to M Muse on that how of my whiteboard start writing things down and my first thought I kept

26:53 things down and my first thought I kept going to is how do you have the right people right not just the roles but the quality is in that and that’s where I kept going so that’s my first big question I want to ask you is it starts with the effective working roles in the team and why is that so important and more importantly how do you have the right people in place oh those are good questions so I think at the end of the day one mean I think at the end of the day one of the main pieces and they break they break apart that team into some components which I think are very essential here right you can’t you can’t

27:25 essential here right you can’t you can’t effectively move forward with any kind effectively move forward with any business business intelligence of business business intelligence without some someone who’s leading the helm pushing the direction here right cuz in business or in anything right if you don’t have clear leadership you’re going to have rabbit Trails all over the place people going to get distracted you’ll think you’re on a important topic and it’s not or you’ll be in the I get it all the time even my workflow to during the day right I have I have to write down my goals for the day so I can know where I’m going and how to get

27:55 know where I’m going and how to get there if I don’t do that I get distracted by this article from Chris Webb who talks to me about this new incremental refresh thing and I spend half a day thinking through this article and like how this would like so yes that was good yes it was probably helpful to some degree but you get distracted you get off track so having a team that centralizes that information that can articulate and Implement strategies from that executive sponsor so in my opinion here is when you go down a little bit further in the article it talks about an

28:25 further in the article it talks about an article that a diagram that depicts the different roles M the executive sponsor the center of excellence and then the working team which includes the center of excellence business subject matter experts there probably a master data management team engineering security and it right these are all the teams that are that need to communicate together this is more of a working session of hey team we’re all going to use the same tool let’s get on the same page so we all can get in the same direction the executive sponsor sets the main objective right here’s

28:57 sets the main objective right here’s where here’s the big vision of where we need to go with data and how we serve it to our internal customers or even external for that matter the Center of Excellence has a lot of responsibility and I really do think there needs to be a minimum of one person that is dedicated to a center of excellence it could be full-time their job could be not full-time their job but there has to be someone who’s responsible for aggregating the information across the company and then trying to integrate with all these different pieces you’re really like this mouthpiece of executive sponsors said this hey

29:28 executive sponsors said this hey everyone let’s get on the same page let’s let’s form best practices together let’s go research I had to be an expert in powerbi because to your point Tommy you say a lot of the words of like what’s the art of the possible we don’t know how big should a model be how complicated should it be before I hadn’t do to business users there’s there’s tradeoffs on all those decisions you need someone to understand like what works for your business because it’s I works for your business because it’s generally it’s the same but I think mean generally it’s the same but I think there’s going to be nuances here and there I’ll pause I said a lot of things I’m sorry no I agree but so this

30:01 I’m sorry no I agree but so this this conversation comes off of the original bi strategy right so at this point there is like a top- down view of some of the major initiatives that an organization wants to tackle right the the value of small working groups like this I would say are that it’s it’s the initiation and ownership is probably the Coe right the the drivers of who are part of that group as the we’re creating the meetings we’re scheduling these Cadence we’re we’re solving the

30:33 Cadence we’re we’re solving the overall problem that are defined by you overall problem that are defined by the executive team like as far as know the executive team like as far as directionally but working teams like this are fantastic and one of the reasons being is it puts it puts into play the the stakeholders from all the areas and and they’re extremely valuable because it’s not just it driving a bunch of initiatives that they think are right it’s including the business side and the business strategies and the different

31:04 business strategies and the different things that their day-to-day are trying to plug into as and making that part of this working team output most likely because like these strategies have to coincide with one another and bi strategies typically are the ones that are most I think aligned with business because we’re we’re beholden there we’re accelerators like it’s a team that is either either doing the key strategic reporting for the organization or being a

31:36 the organization or being a a the like having the possibility to be an accelerator for each different business unit it by assisting people by like providing the infrastructure by like like all of the things that that team can do to raise the bar of individuals that are just data stewards or trying to to do manual work within those other teams anyway like lot going on but having having the this team break down probably the how do we go

32:07 break down probably the how do we go about executing on these higher level goals is is really valuable yeah one area of this article that I struggle with here is it talks a lot about this in a in a very large company way right it’s talking about there is an executive sponsor there is one to many people in the center of excellence a dedicated team that’s around that there’s a working team and this working team has like a ton of

32:37 and this working team has like a ton of people in it right I this was my exact thought guarantee while while I while I understand the concept of like listing out the different roles and everything that’s going on here I think when this actually ruls out you’re looking at like way less people and these are these are less about people and these are more about functional roles that are happening inside this so regardless whether or not the working team is two people or one person and someone from it or one person from the business and one

33:08 or one person from the business and one person from it that it person or that business person potentially is wearing lots of hats right that business person may be the subject matter expert that business person may also be the master data team and doing all the data engineering for whatever they need and handling a lot of the security things for their data stuff like they’re they’re governing like so I’m what I’m trying to articulate here is I think this comes in many forms and as you think about the entire part of an organization even inside a a big

33:40 of an organization even inside a a big organization you have pockets of this even occurring inside a single department or a single team and and it’s it gets harder to align this across an entire company all at once you need a lot more communication you need a lot more Buy in from a lot of different stakeholders and sometimes you get to a place where other teams aren’t willing to play with you because that’s like that’s not my thing yeah I’m not paid to come in here and help you out with your stuff I’m just going to do my job and and get my things done and I’m just going to sit here and Excel and do my thing on Excel that’s all I want leave

34:11 thing on Excel that’s all I want leave me me alone it’s a culture thing but it’s a fantastic Point especially in in context of of this article do do not get hung up right away if it’s like well we don’t have those people or we don’t like that’s that’s one person or that that would be like two people so what I would say is great Point Mike doesn’t matter skip down to understand the working team purpose and responsibilities because ultimately the in in a large

34:41 ultimately the in in a large organization you need all of these you organization you need all of these individuals and they’re probably know individuals and they’re probably individualized roles but contextually it’s it’s placing these roles here so that you can dive in and clearly produce the output that that team is supposed to but if you’re one person it doesn’t mean that you can’t go down and and do what the the article recommends that this team is going to do

35:12 recommends that this team is going to do collectively right and so if we if we focus in on a on a high level right the responsibilities of that team are planning and preparation yes right so we’ve got a strategy it’s it’s the high level right right how how do we go f about defining what those timelines are what are the deliverables you guys talked about that like if you’re if you’re defining a deliverable you can you can measure it yes right how do we measure those deliverables when are they

35:42 measure those deliverables when are they supposed to be done and what are the big Milestones typically a whole bunch of these little deliverables bundled up into a by this point in time we’re going to hit whatever I do go ahead no no no I was just going to say I I love those points because what Mike to your point like the the working team six through seven engineering security it may be the same person it doesn’t mean they’re all individual people it’s about their

36:12 individual people it’s about their responsibilities but Seth I’m thinking it’s almost like a chicken the egg right where yeah you need the team in place but I I I’m going back to well they have to trust in the outcome in order for them to be effective right because to your point if they’re like this is put on me why why am I going to be spending my time not just in meetings but trying to have deliverables that I don’t see why this is going to be so impactful to an organization those

36:43 so impactful to an organization those are not that’s not a good effect an effective working team this goes back to the solutions and the goal but everyone on that team just like we’ve established at the beginning of this episode just because someone’s in powerbi does not mean they’re effective in powerbi just because they’re working in it and very similar to this team just because you have people in that role doesn’t necessarily mean they’re effective if they don’t know what they’re working towards I will always go back and I I will lay down on the

37:15 go back and I I will lay down on the idea that is start people have to trust in what they’re doing and have to believe in it and that starts with those goals and initiatives it’s a delicate balance because how do you have the initiatives and goals if you don’t have a team so how do you get people in a sense buying in you’re start you’re trying to basically preach the gospel of business intelligence in so many words you need people on board and those people are going to define those goals and and initiatives I I agree with that yeah

37:45 initiatives I I agree with that yeah right and and I think I even there might be some cyclical thought as we go through these Tuesdays but I I I think I agreed with you last time if there was one point I made in all of the Strategic planning and discussion that we were talking about it’s it was don’t just do something because somebody asked you to right right like are we all collectively moving in the right direction and or are are there checks and balances across what we’re accomplishing on our day-to-day or is our entire day just

38:16 day-to-day or is our entire day just virtuous waste which is a term Mike and I like have talked about we had podcast on it right where just because you’re doing something and typically it was like I’m manually grabbing data and I spend two hours of my day massaging data like if there’s a way to automate that that’s probably a better use of your time as opposed to doing this same rote thing every day and I think if I would recommend in this one as well if you find yourself in positions where all you’re doing is the same thing every

38:48 you’re doing is the same thing every day if that doesn’t align to your business getting somewhere right I’m not saying there isn’t stuff that we have to do right but look to optimize look to like what is the larger goal how do you stretch yourself how do you stay engaged how do you stay interested how are you helping your customers how are you all of that is so much easier and so much better for organizations that clearly Define that for everybody and let them see that than those that don’t because

39:19 see that than those that don’t because otherwise you’re just taking whatever your manager gives you or you’re just doing the same thing you’ve always done and you don’t know how your work is helping the organization because you’re just in this little Department over here and that’s what goals and objectives and big things in an organization why they’re helpful because it enlists everybody to get engaged read down that one for sure so I to me I would almost I wouldn’t switch the steps but the the

39:51 wouldn’t switch the steps but the the first step here so crucial in order for the ball to get rolling I think there’s the talk talked about the executive sponsor and in the same in the same kind sponsor and in the same in the same context just because you have an of context just because you have an executive sponsor does not mean they’re effective and I’ll pose the question can you can starting implementation of powerbi survive without an effective executive sponsor let’s I don’t I don’t I think effective is not the right question to ask here in this situation I think the I think the answer is is

40:22 think the I think the answer is is your executive sponsor actually acting like an executive sponsor and right here in the article it actually details out like there so we know there’s an executive sponsor let’s let’s align and I think a lot of times when we when we talk about these terms it’s we need just to Define what they are and what they’re expected to do the the roles and expectations right and to my to your point Tommy are they effective well the measure of Effectiveness is are they doing the things that are described in this article that are helping us move the initiative forward right so here they

40:54 initiative forward right so here they talk about the roles and responsibilities of that executive sponsor are to support the working team and support the center of excellence remove blockers if you don’t have access to data they go get it for you you’re having an issue with this team who’s not it is not playing well with the the central the Coe The Executive sponsor steps in and says hey it I need help getting this team unblocked because of XYZ things we are going to own the responsibility of this what do we need to do to give you to let us do our job right thing right they need to

41:24 right thing right they need to allocate resources so there’s got to be some level of budgeting that is associated with the executive sponsor that’s got to be able to throw some weight around and get people funding money roles or Staffing they’ve got to have some responsibility there they’ve got to advocate for the initiative right You have to deliver but as as the one who’s in the center of excellence a lot of times build the SharePoint page document the things put out the models publish stuff if you produce things have physical things that

41:54 produce things have physical things that you’ve actually checked the boxes on off on you give that executive sponsor a lot of ammunition to say look what we’re doing we’re making things happen we’re producing value and here’s why and how you can get access to these reports and things so I think that really accelerates that team and then finally the executive sponsor should be thinking about strategic decisions as as I think of myself as a consultant I really feel myself as being like a rent a center of excellence to a lot of these companies right a rent a

42:24 lot of these companies right a rent a Coe I show up I help you figure out where the where the hiccups are going to be right I help you figure out like where’s where’s the easy wins that we can get ahead of right now how do we build these models in a way that is usable and and what are the where are the pitfalls that we should be thinking about I’m providing that ammunition to Executive sponsors and they’re like yeah this makes sense let’s Implement some of this we do it we get some feedback we change our process we make it better and and what happens is the the executive

42:56 and what happens is the the executive sponsor says okay I see that we’re winning here here’s something that’s really hard for us to do this is a data thing that we’ve never had access to or this is an analysis that we’ve always wanted to do but we’ve never quite had the information how do we get to that and they put out that larger Milestone that says here’s where we need to get to we don’t have the data that supports whatever that that analytical thing is and they help you set the larger initiatives that then the Coe and the business can then start go to tackling so to your point to your question

43:27 so to your point to your question earlier Tommy how do if you’re Coe If your executive sponsor is effective or not I think it really boils out into what roles and how well are they supporting these four outline bullet points here are they really doing those four things or not Seth did you ask that you asked like can you do it without or can you can you it survive without an effective Coe that was the initial question Matthew roach would say no he says your first Matthew roach would say he would say your first Matthew Ro should say no I say no I’m

43:58 Matthew Ro should say no I say no I’m just saying if the person who’s been doing bi for what 30 years 20 years he’s got he’s got me in time and and knowledge and if he says if you want your powerbi initiative win you will have an executive sponsor and that is the number one success criteria of will powerbi or even bi in business intelligence be a success in any organization it’s an executive sponsor so I I think a lot of this hinges on again how effective is your executive sponsor right I think I think

44:29 executive sponsor right I think I think the center of excellence can compensate for a lot of these needs that are not quite there you can do a lot of pre-work to make your executive sponsor look amazing and I think as we think about this if we can make our executive sponsor look like a rockstar with the planning and the the goal setting and all I’m cool with that I’m totally fine for just feeding them a bunch of information and saying here’s what we think we’re going to be doing I think this will work for our organization and just feeding him a bunch of stuff and letting him take credit for it because

44:59 letting him take credit for it because that makes him feel good makes him feel like he’s investing in the right people in the team he has trust in the center of excellence to know what they’re doing and then he enables he removes blockers oh I see this as being useful Let’s help them out let’s get them going they know what they’re doing let’s unblock them so they can get their stuff done yeah I there there are I think many different pieces within a make or break of an executive sponsor to to Mike’s Point a a lot of what he’s a lot

45:30 Mike’s Point a a lot of what he’s a lot of what he’s describing to me or the way I’m absorbing it is information to an executive sponsor with an assumption

45:37 executive sponsor with an assumption that they aren’t the ones that already intimately know this and the challenge there is like I you’re ideally your executive sponsor is the one championing a lot of these thoughts and ideas because they have to be in the executive Arena right and if if if there is no push from them then to Mike’s Point are they looking for it or is the organization but but to me that would lead me to believe that the organization on an executive level already

46:08 on an executive level already understands that they need this they just don’t know how and then they’re more willing to listen to a mic right say here’s everything you need to need to do and like that that’s a great relationship because they they just didn’t know how correct now they’re taking your ex now they’re taking your strategies and applying them MH versus organizations that I I think if you if you look at the Advent of a chief date officer right the primary role that should be driving a lot of this in

46:38 should be driving a lot of this in organizations and driving the strategy go out there and look at articles right like that is not what’s happening right like the there are there are some that are no data engineering there are some that are like have very specific business cases but there are very few that are that actually comprehensively understand or have the experience of what a consultant does within like organizations and sees what

47:09 within like organizations and sees what the impact is when there are centralized teams that are acting like actual centralized business intelligence teams meaning they aren’t the ones building all the reports for the organization they’re building key reports and their objectives are to build all of the stuff that we’re talking about in this implementation planning right like that is a rare rare person right so it like the reason that’s important is those have to be

47:39 important is those have to be conversations so all of the other executive leaders know and understand that this is a major initiative that they want to invest in and look for opportunities versus it always being Upstream as just a different use case that the business needs to solve that’s one one the second one in here I think you want me to pause no no you’re good you’re good the second one in here is and I think pivotal around that is if you don’t have consensus you won’t get

48:09 consensus you won’t get resources and the problem typically is if people are engaging and identifying all of this on any level as far as I want to implement powerbi I want to be a driver Etc you’re not volunteering to do this on your free time you have probably all of the other responsibilities of the day-to-day generating reports doing whatever and that does become challenging because these are great ideas but without resource support there are certain

48:40 resource support there are certain things you absolutely cannot do and that would be like how do you engage the larger populace of employees with a strategy or a plan or let alone support them and we all know like the minute that happens happens boom there’s going to be a flood and then you’re not going to be able to support them so what do they do go back to what they were doing and they and you don’t get a second chance so I think that that is why this is really important this person or the

49:11 is really important this person or the strategy to like get them engaged get an executive sponsor before going down like full bore into some of these implementation and strategic planning things and that’s not to say that you can’t incrementally make a difference in your organization it’s just those are the pivotal ones where you have to convince somebody if they don’t aren’t aligned on the same track as you because ultimately it it is the allocation of people and energies to go towards solving those

49:42 energies to go towards solving those problems because they believe that they are are problems and then you get into like the goal setting and initiatives and strategy it’s interesting you bring up this the CD c CDO the chief data officer in the context P it makes a lot of sense but and the I don’t say the failures there but still illd defined there’s not a one- siiz fitall implementation for powerbi or business intelligence right right yeah and and that’s such a

50:13 right right yeah and and that’s such a big Point here because the needs of an organization around data and the needs around the impact of that data not just data not just data the impact of that data is defined based on the technology already in place the culture already in place and the schema or not the schema but how the teams organized what their goals are and the role of that Coe or CDO or bus really business intelligence is of finding the impact how can we have impact around those teams and departments I and right what you’re

50:45 departments I and right what you’re describing is the people the people process process the technology it’s it’s the same language right you it’s it’s the same language right the tech defines certain things the know the tech defines certain things the process on how you get stuff done defines certain things and then the people’s knowledge or what they understand and how they know how to work with those tools and processes defines whether or not this is successful and I keep going back to that because it just you just described it in different words but that you were talking about like it’s it’s what the combination of those things are and what we’re talking about here is this is a mix of people and

51:17 here is this is a mix of people and process we haven’t even talked about the technology yet this whole article strategic planning at this point is all about aligning where we want to go right and and strategic that’s the people side and then thinking about okay how’s the process we’re going to get that done what does that look like for our company and then that where do we want to go is the net benefit or the net impact that’s going to have what will change when we complete this that we don’t have today what will teams be doing differently or more effectively

51:47 doing differently or more effectively and more productively that goes to the assessment side of this and there’s a big article part of this article that I I don’t think we can dive into it right now but I want to so badly around the conducting research and understanding because that’s part of that it there’s no one-size fit all the ability to conduct the pain points where do people want to go how are the teams getting their data now and what are they doing with it understanding that defines the

52:18 it understanding that defines the strategy it’s going to define the strategy understanding how the teams are interacting with data communicating with data accessing their data is going to define the strategy because when you understand how the teams are doing those processes and what technologies you’re going to understand the barriers that they have the barriers hopefully as a CDO or the Coe understands the impact to go they may not tell you hey we have a list of things that we want around data that’s not going to happen but it’s that

52:48 that’s not going to happen but it’s that ability to say oh you guys are doing things a certain way you don’t even know that this solution’s out there and I can tell you or the Coe can tell you there is such a benefit out there that we can Implement because that’s going to alleviate these problems that you may not even see as a problem like the giant Excel files no one’s going to say Excel is a problem because they don’t know the other side of the coin right that we have a and yeah and those are all the

53:18 have a and yeah and those are all the that’s the such an initial part of this because guess what when you Seth you were saying that you only have one chance and people go their own ways well the other side of the coin is as soon as you introduce the impact of business intelligence the impact of powerbi all of a sudden now you’re flooded with with requests and projects and solutions that people want implemented if you do it right that first introduction is like oh no no we want

53:48 introduction is like oh no no we want something now now we want something now all a sudden you have to expand your resources yeah but that’s but that the the challenge with that is you’re already assuming that that door is open for all organizations right right and and and you excitement only goes so far Tommy and that yeah now now you do bring up an a really the other interesting point that I have stepped in the mock the mock in as well which is because of our experience I can say as a consultant

54:18 experience I can say as a consultant every single place I went into now regardless of what I was there for because those were different mhm every single one when you get into conversations there was always always multiple areas where we couldn’t engage or we were directly engaging in solving automation for people doing manual work and in large part a lot of time that was around Finance or financial reporting lot of manual work there were

54:49 lot of manual work there were organizations there was it was three weeks of manual work to generate the report right before the next month right so you had you had one day to make a decision and that’s an extreme use case but at the same time like it happens every Department we walk into so who’s generating the reporting for you this guy over here okay how how how many hours a week are you spending in just data movement stuff four to six okay this department over here this woman is doing the

55:20 here this woman is doing the reporting for for for this how many hours a week are you spending in you hours a week are you spending in gener reporting oh well some weeks know gener reporting oh well some weeks not at all but then the next week like 20 like the I think the frustration is when you’re describing situations like this they I think I think most organizations don’t know the amount of wasted time and it is it’s straight up Wast it’s hard to measure that yeah because people don’t have access to data right or they don’t know how to like

55:51 right or they don’t know how to like automate these things that could be automated right and and where that presents challenges is don’t when you’re engaging an executive sponsor don’t assume that they’re going to know that like you can’t lead with an assumption that they understand all of the the time and cost savings and efficiency that would prove a point for resources because it doesn’t work this is I like really like your point there Seth as well

56:21 Seth as well it’s very hard to quantify the speed in which you will save on things and I I have another example and I have another story around this as well this is where again I’m leaning on my history of like how this has worked we were working with an organization they had and this is this is just speaks to how far the technology has come from where people have been used to doing data things they were talking to me about well we have all this data on a server that is our transactional information and all of our orders and all the da d da da they had all this information that was available to them and we built a

56:53 was available to them and we built a single data model that captured all of their transaction history for all customers for their entire company’s

57:00 customers for their entire company’s life and they were like it’s all right here I made a single model that described everything they needed transactionally yeah for everything and they were blow their mind was blown because they were typically used to going to get minimal xct because their system would only support data dumping so much out of into Excel and then once you had an Excel now what what what tools do we have that can push the Excel file data around in order to get it to this next level so we were able to automate a majority of just PE like

57:32 automate a majority of just PE like literally people’s entire day was spent just moving data around and trying to produce reports to figure out what is happening with our company and what is going on we took that knowledge again the value is in that person that person had developed a process they knew what to do with the data they knew what in the data was impactful to them so I just had them rearticulate to me tell me what you’re trying to do with your information and from there we built an entire data model so one PBX file had all their data that was huge for them

58:02 all their data that was huge for them and they were like this is amazing this is going to change how we do things because now I can build Endor reports on top of this single model and utilize that to do all of our reporting it it it simplified so much of their daily workload so now every night the the file goes back out you just refresh itself gets its new data in bada bing bada boom the data loads up and now they’re this is this is where it blows my mind they’re on a pro license like it was like $10 a month saves you so much

58:33 was like $10 a month saves you so much time long term it was just huge it was just very again a really good story but again smaller companies I think find a lot can find a lot of value out of this immediately and I think you’re defining something to me where I called how do we how do we ignite the spark in order to get Buy in again people need to see the impact or the value and I think a lot of the strategy here when you think strategy you think the long-term 12 months where are we going to be with the technology no no no no strategy needs to start with how

59:03 no no strategy needs to start with how do we gonna get the Buy in because again each of these teams they’ll put the work in if they know the value of of the solutions going to be there to your point Mike that’s one of those like if I had a nickel type of experiences where as soon as you’ve introduced that to that organization that team you tell them oh by the way there’s more but I need your help or there’s effort they will put the resources in place the budget in place and the time in order to achieve that

59:33 and the time in order to achieve that because they saw just from that one change how much impact they had so part of strategy is how do we ignite the spark where are the logest hanging fruit then we can get into the Tactical then you can get into what Solutions need to get in place but who is most impacted who can be most impacted where do we need the most Buy in to to get this off the ground that’s that’s for me that’s part of the focus whether you get the Coe involved we talked about this

60:03 the Coe involved we talked about this in other episodes but previously too I’m going into the Coe or the the ch the executive sponsor and I’m giving them to your point Mike a plan but I’m also showing here’s some of the biggest impact what do you see where can we start what team can we get the biggest bang for our buck if we show them proof a concept or we did a demo for them because that buying is so important to getting any strategy off the ground or any strategy in

60:34 any strategy in general I agree and and we’re at time right final thoughts from my side right and and I think Adrien makes a good a good point in chat where you good a good point in chat where there there are certain challenges know there there are certain challenges or in large part many organizations aren’t deeply or engaged in organizational data culture literacy at all right because either they don’t know or they don’t know the value and hang with us I think I think

61:05 hang with us I think I think the importance of having this conversation and continually talking about the wealth of knowledge I think that Microsoft is putting out there and being a part of that conversation offers all of us an opportunity to holistically understand what what what that Northstar I hate the term but like what that Northstar looks like so that we can make incremental steps toward it we can

61:36 make incremental steps toward it we can be the ones that are changing our organizations not just in what we do from a business intelligence and developing reporting because we have business we have business we have it right we I’ve I’ve said this before I think business intelligence folks have probably the best vision of what can go on in an organization that’s definitely manifested and magnified when organizations have clear objectives but in all of this like understanding some of the fundamentals of how all of this

62:06 of the fundamentals of how all of this works how do you promote and push wider adoption of data literacy and everybody learning and and growing together can have massive impacts to organizations and I think it’s just a matter of time so being part of this conversation while may not be like in stantly relevant where you’re going to go find your executive sponsor and launch stuff right away the the initiatives may be different and slower but ultimately this is why we have this conversation because there’s a lot of value here and why I’m

62:37 there’s a lot of value here and why I’m still excited to talk about all the rest of of it I think my last thought is I got another hour after this guys we can talk off I want to keep this going well if do you have do you want to to throw H I think we’ve the best part of this is I think we only have touched on step one and a half in this entire the entire article so definitely take a look at this the ability to understand where impact is and then understand how the

63:08 impact is and then understand how the technology works is the most crucial part here and if you’re already working this and you think how do I get this off the ground you have you’ve seen the impact it’s just identifying the best places there and I’m going to go back to the point I just said there are sparks that you can ignite in different teams and organizations and identifying those will get this off the ground or is a great place to get this off the ground I like that a lot the last thing I’ll point out here for my

63:38 thing I’ll point out here for my observation around things here is we you’re looking at three MVPs here who have been around powerbi since day one there’s there’s not many of us left who haven’t been absorbed by Microsoft already so there’s there’s a lot lot of MVPs haven’t hav been around the experience as long as as we have and and we’re very privileged to be in this pent position so you pent position so one thing I’m just trying to know one thing I’m just trying to confirm here is what the documentation Microsoft Is providing here this

64:10 Microsoft Is providing here this resonates with lots of organizations I’m trying to my main point here is read this article Microsoft is literally giving you the keys to the castle and saying if you follow this this is going to improve the likelihood of success of powerbi in your organization very well and what I can say is in in having to do this on my own and having to help organizations work through this already there’s a lot of great points here you there’s a lot of great points here later on they start talking about

64:40 know later on they start talking about all the different members what is a center of excellence member what do they do how do they work who are they hired by what is the business as subject matter expert what did they do how do they integrate where do you create the data communication Hub or there there’s a communication Hub that needs to occur where everyone can align on these objectives and these things that you’re planning for so what I can say is in doing this work as being a consultant to this stuff this stuff works this is this is a great article and I and reacting to this one this is an amazing way of

65:10 this one this is an amazing way of really diving into and integrating yourself into making PBI win for your organization again it’s not a silver bullet it won’t fix everything for every organization but I think there’s a lot of key of key insights Andor findings if you learn and internalize this I can’t imagine you won’t find some level of success with doing things in power pay and this is very transferable right now most of the strategic planning that we’re going to talk through in this article this could

65:40 talk through in this article this could be applied to any initiative in any part of a business this doesn’t have to be specifically for data this seems like it would work for many different things you’re you’re trying to do and communicate and change management of things anyways with that great article I love before we’re going with this one I’m very happy that Microsoft is continually increasing what does Microsoft know and taking their experts and then just sharing the information I think it’s very wise for them to to do that because the people that take notice will be able to find

66:10 that take notice will be able to find much more value from the tool that they’re they’re using with that we hope you enjoyed this conversation we had a lot of good discussion on LinkedIn we’ve been trying to answer comments there as well as on YouTube as well so thank you very much for participating live we really appreciate your listenership and engaging with the conversation if you found this to be valuable if you got some nuggets of wisdom here that you thought was interesting or you learned something new we’d really appreciate it if you would recommend the podcast to somebody else that’s the only way we get the word out here we don’t spend money on Advertising we don’t we just do the podcast and hope people hear about it and participate so please let someone

66:42 and participate so please let someone else know that you found value from this and we’d love to continue to talk with you about it so feel free to jump in send us messages as well but please share it with somebody else Tommy when else can you find and where can you find that podcast well we’ll start with the wear you can find us on Apple Spotify or wherever you get your podcast make sure to subscribe and leave a rating it helps us out a ton do you have a question an idea or a topic that you want us to talk about on a future episode head over to powerbi tip podcast leave your name and a great question maybe it’s strong implementation doesn’t matter join us

67:14 implementation doesn’t matter join us live every Tuesday Thursday a. m. Central and join the conversation on all of powerbi tips social media channels and if nothing else maybe we’re just like the the therapy session for your data problems if nothing else maybe I feel Tommy and I for sure think this is a a place where we can rant and Rave about this this stuff and I need this this they’re describing my problem they’re describing my problem exactly exactly right so

67:44 problem exactly exactly right so thank you all for participating we we love your community you guys are doing such a great job keep winning with powerbi and check out these articles I think it’ll help you make your your paths smoother thank you all very much and we’ll catch you next

68:22 [Music] time

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