Mailbag Time – Ep. 290

This episode is a classic mailbag: five community questions, a few quick news hits, and a bunch of practical “it depends” guidance grounded in real-world delivery.

The crew covers what it actually takes to bring Power BI into a non-Microsoft stack (BigQuery, AWS, etc.), why platform conversations got harder now that Fabric is part of the picture, and how small naming changes can create big confusion unless you treat definitions and documentation as first-class work.

News & Announcements

• FabCon Community Conference (Microsoft Fabric Conference) — The team shares the event dates (March 26–28, plus optional workshops) and the discount code Carlo100 for $100 off.
• Power BI Desktop (download) — A new desktop build dropped (Jan 31); if you’re developing locally, grab the latest version and keep an eye on upcoming release notes.
• Submit an idea or topic for the podcast — Send a question you want the crew to tackle in a future mailbag.
• PowerBI.tips Podcast — Browse the back-catalog and listen on your platform of choice.
• Power BI Theme Generator (Tips+) — Generate theme JSON to standardize report styling.

Main Discussion

Mailbag episodes are great because they expose the hidden constraints that make “simple” platform decisions messy in practice: operating systems, licensing, existing cloud investments, stakeholder language, and the communication overhead of constant change.

Here are the biggest takeaways from the crew’s answers:

• Separate “reporting” from “platform migration”: Power BI can connect to data wherever it lives (BigQuery, AWS, etc.), but a full Fabric conversation changes the scope from “build reports” to “rethink the whole stack”.
• Check the developer environment early (Mac vs. Windows): in a Google-heavy org, Mac usage is common; plan how authors will build PBIX files (Windows machines, VMs, or remote dev workflows) before you promise timelines.
• Plan your distribution + licensing model: embedding vs. PowerBI.com usage leads to different cost and access patterns; decide how consumers will view content before you scale adoption.
• Treat definitions as deliverables: renaming “datasets” to “semantic models” is a good reminder that words matter - a single term change can ripple through training, request forms, documentation, and stakeholder expectations.
• Build a change communication loop: assign ownership for monitoring platform changes (Microsoft updates, internal schema changes) and create a lightweight place to publish what changed and what actions are required.
• Document the “wiring”: keep a clear path from report → model → source (tables/columns used), so when something breaks you can triage quickly without reverse-engineering a PBIX under pressure.
• Technology influences process (and vice versa): new tools unlock new patterns (medallion architecture, faster iteration), but the goal stays the same - solve the business problem by saving money or making money.

Looking Forward

Pick one high-impact use case, prove Power BI value with the data where it already lives, and use that win to justify the process and platform investments that come next.

Episode Transcript

0:31 good morning and welcome back to the explicit MERS podcast with Tommy Seth and Mike good morning H good morning 290 we’re right 290 10 away from 300 getting pretty close we’ll have to do something not so amazing for 300 a bunch of memes memes we’ll do that one again was a good yeah let’s let’s do funny memes at 300 send us your mes on videos with no audio tag us on Twitter or LinkedIn with all your funny

1:01 Twitter or LinkedIn with all your funny powerbi memes and we’ll discuss them all for our 300 epis we’ll just laugh at them oh that’s a good one that’s hilarious who’s got who’s got another oh this one comes in from Mike Dar Carlo yeah oh super hilarious I get that one another Dar Carlo wow the whole lots of us we’re like a whole Army of people that would be great be great so today’s main topic is just going through the mailbag so we get a lot of questions in from our parb tips podcast page we have a form on there if you have a

1:31 we have a form on there if you have a question or topic you’d like us to discuss or review you’re more than welcome to go out and submit a question so we’re we go periodically we go through a couple of these just to go figure out what the community is talking about and we’ll interact and talk with them with you about these fun topics before we get that we do have a couple intros in our last episode 289 trying to get the number before 290 in the in our last episode 289 we had mentioned hey Microsoft you should give us a discount code because

2:02 should give us a discount code because we have five followers and all five of them would love to have a discount code for the Microsoft fabric conference well your your wish has come true there is a hey yes that’s awesome we do have a discount code for you if you are going to the Microsoft fabric conference this March the conference is the fabric Microsoft conference or the Microsoft fabric conference guess that’s way you say it you can visit the website Azure datac comp. com and the conference the main

2:33 comp. com and the conference the main part of the conference goes from the 26th to to the 28th 26 27th and 28th of March and then there are workshops on the 24th the 25th and the 29th those are extra but you can get $100 off if you use the promo code Carlo 100 for $100 off your tickets so I’ll put that in the description P more 100 more if you do p you 100 it adds 100 adds another 100 and that is that’s at the MGM Grand at the MGM yeah it’s in Las Vegas I should have mentioned the area it’s

3:03 should have mentioned the area it’s actually in Las Vegas a a chuckle I had today when I was looking at the blog is if you’re if if you’re not familiar with Microsoft Fabric in the new thing right like you land on the page and it’s save your seat at the ultimate fabric learning learning event there’s a lot of knitting yeah there’s a lot of knitting going on yeah yeah grab your free sweater at the Microsoft fabric event I feel like we’re getting spoiled if would you Microsoft branching into a new

3:34 would you Microsoft branching into a new area a new the clothing area my my consultant gig so but I feel like we’re getting spoiled would you rather have the power to change documentation on the Microsoft site or the power to provide discount codes at a whim for a conference Microsoft’s putting on and we get both I feel like we’re getting a little spoiled here just feel the power emulating from the podcast just feel the power I think I guess the better question is are we on the are we on the right are we on the

4:04 the are we on the right are we on the the rebel side or are we on the dark side which side are we on here from Star Wars perspective I we’re neutral man we’re neutral we’re we’re just a an engine an engine to turn out ideas and benefits to the community at largee you benefits to the community at largee we’re just we’re we’re altruistic know we’re just we’re we’re altruistic we’re the solos man we’re just we’re just there all right I like that I’ll go with that one yeah the only other update I have

4:34 one yeah the only other update I have that I have found out I saw Bernat give us a quick shout out or not us but a shout out across Twitter saying that there is a new powerbi desktop so yesterday on January 31st a new a major I major V revision Vision Revision of the desktop came out so there’s a new version of desktop out there if you download and install it locally on your machine you may want to go check out the newest version I’m guess it’s just a series of bug bug fixes since there’s no blog describing all the features that are supposed to be

5:04 all the features that are supposed to be coming out with the next release so I’m hoping for a solid release here in the next couple weeks for the February release what’s going on there and what new features are coming in through February so excited for that one looking forward to that as well any other kind forward to that as well any other news or announcements before we jump of news or announcements before we jump in for topics today all right I don’t ready go man let’s jump in I guess we should te this over one over give this one over to Seth Seth is our mailbag reader on these

5:34 Seth is our mailbag reader on these things so Seth you want to kick us off for our first question of our mailbag point of clarification Tommy do we have four questions today we actually have five so I try to separate them by Lin someone was very ambiguous with their questions that’s number numbers sometimes help but anyway we’ll we’ll start with I believe we’ll work on that I believe the first question is how can we sell powerbi to a Google shop company how easy can powerb how easy is it for powerbi to fit in a new

6:04 powerbi to fit in a new de I was trying to help out here how easy can powerbi fit in a new data platform in an org if we use Google big query Etc well you’re you’re out of luck powerbi doesn’t go over there see you see you all right next question this is this is whether it’s Google or other clouds as well it could be Google it could be AWS your data could sit anywhere honestly so I

6:34 data could sit anywhere honestly so I guess the question I would interpret this question is our data the tools that we use are living someplace else how do we leverage those tools to use use powerbi yeah but we get this one it’s it’s easier said than done I feel like we know this but I think a lot of organizations feel like they’re whether they’re ingrained in something like AWS or Google which has this basically its own Azure platform they don’t don’t think that transition to powerbi is as simple or there’s a whole other

7:04 is as simple or there’s a whole other set of skills to learn I think for me that’s where I’m I’m seeing this question come in is how can powerbi IIT into a new data platform usually they also have their own analytics one I know ad Amazon tried at one point still trying they still still have quick insights so it’s still there it hasn’t gone away right how successful it is it depends on who you talk to I guess I would agree Amazon solution is mean I would agree Amazon solution is like way more developed Centric and Amazon doesn’t really have a good business portfolio right product

7:35 business portfolio right product offering right they’re they’re not designed for a Excel word PowerPoint type solution Google seems much more positioned for that space because they’ve got Google Sheets and right other Google things that are googly are very googly yes well even I hear this all I I really do hear this all the time well we’re a Google data Studio company so I don’t we have to migrate over to powerbi and the Google data studio is nothing close to it’s a tool it’s not a

8:06 it’s a tool it’s not a platform right and access to data well it does do reporting too it does do some so there’s really no equivalent to powerbi in terms of the bread and depth of what powerbi can do the Microsoft business intelligence platform but that doesn’t mean organizations are utilizing and heavily dependent on those other platforms and to me that’s where the question comes in that’s really where that Crux of how do we sell powerbi would you ask the question around I I feel like there’s another clarifying question I would ask

8:36 another clarifying question I would ask here do you all run Macs or Windows yeah that was M because when you’re not in a in a Microsoft ecosystem PCS tend to start like PC usage starts dropping right Windows as as a thing so and Macs become much more prevalent so I would be that’d be my biggest worry right out of the gate it’s a great question cuz you can’t get you you well you can do a lot of things without desktop now because you can do loading data in fabric you

9:06 you can do loading data in fabric you can have all these pipelines so you can do a lot of your data engineering pieces that you would normally do and again you that you would normally do and again when I look at Google big query I know when I look at Google big query I have done projects in the past where we have let Google bigquery summarize the data for us and then we’ve directly connected to that data and loaded it into powerbi and produced our power Bay reports and things there to your point Seth one of the challenges was everyone the company was using Mac because it’s a Google product and everything that Mac everything that Google does is 100% in the web browser I I don’t think there’s

9:36 the web browser I I don’t think there’s anything hard software that you would download to your machine if you need to so because of that the challenge was who’s the developer that were going to hire to build things in desktop and they had to have a PC then there was trying to be this talk of like let’s do a virtual machine and then it got expensive and people were like why are we doing this so I so I think if you can get over that hurdle if

10:06 think if you can get over that hurdle if you already have Windows machines or if your development team around bi already understands those types of patterns you can just make Google big query or Google a data source to where you’re going to sem build your semantic models questions for you guys well a couple comments right one of the challenges going in here like so can powerbi connect to these data sources can you l them yeah yep you can are you integrating Microsoft Technologies into a different type of ecosystem if

10:37 into a different type of ecosystem if you’re heavily using these these areas in AWS and Google big query Etc yeah you are is that going to create a problem there’s another mailbag question which we’ll talk about like later on that speaks to that but potentially you’d have to worry about like Tech stack decisions I think MH and really in this scenario powerbi is the reporting tool correct because if you’re going down the route of like Google big query

11:06 down the route of like Google big query Etc you’ve already got your models your data formed the way you want Etc like to pull this in and then create semantic models for powerbi is bringing in that model into things yes so so you’re gonna you’re going to have to have that conversation does powerbi and it being accessible to the masses and business outweigh that because there’s going to be certain scenarios where Enterprise is going to be building reports on top of

11:36 going to be building reports on top of this but the rest of the organization has access to build these other models and reports maybe but I think it’s just a there’s more to it that you’d have to walk through in order to make that decision and say yeah this is this is a good fit for us right because there there is a lot to say I think about it being a tool that many many many bit different people can use and leverage for their own reporting that is a lot of value there’s just going to be some

12:07 value there’s just going to be some struggle points that you wouldn’t be encountering if you were more of a Microsoft shop or relied on backends of Microsoft I I like that as well because it’s there is a egress cost or Ingress cost out of Google into powerbi if you are going to do that so you want to optimize your information so this be this starts to become again I’m going to talk very ethereal here if you’re talking bronze silver and gold you’re having

12:39 silver and gold you’re having these different Landing areas Google is the reason I think you’re a Google shop and why you’re asking this question potentially is you’re probably around marketing and there’s probably advertisement stuff that’s happening in your ecosystem and that’s where most people I think start in that Google space is because Google made a platform that where you can do a bunch of advertising for companies and you Google like has 80% or some ridiculous 75% of the market share for advertising stuff so that’s where all the things happen so bronze and silver can definitely live or stay inside your your Google

13:09 stay inside your your Google environment but if you’re thinking about gold you may want to consider Landing that last step of curated cleaned wellb built tables over to fabric or powerbi because now you’re you’re now again to your point Seth this is a tech stack decision right you’re now splitting your Tech stack into to what else needs to happen to that data are you joining it with other data is there other things you need to merge it with is that stuff also stuck into Google or is it somewhere somewhere else so I’m going to challenge here not

13:41 else so I’m going to challenge here not saying any of that’s irrelevant but I’m going to say the primary issue of transitioning is honestly less around the technology but more around the process both from consumers and developers but especially the consumers of getting their data Seth I don’t think I said anything johnes but okay we’ll talk more later okay all right cool but okay but I I feel like there’s a lot more going on from the consumer transition of how they

14:11 from the consumer transition of how they get their data you’re not just transitioning a technology because again there’s no equivalent to powerbi in terms of the the stack the platform but you are going to tell now your whole organization and everyone who’s getting their data a new way to get it in a new location with a new experience and a new navigation a new click what you can click on albe it a better one like it’s better it’s easier to use I and I think that’s the reason why people are like looking at it from other clouds saying hey look this looks easier than

14:41 saying hey look this looks easier than what we’re doing today yeah let’s we should explore should we do it and it and honestly it’s probably cheaper at some degree than other places as well so that’s also another reason why people look for it but you’re still asking everyone in the org now to point to a different place and basically use this new application yeah but you’re assuming but you assume that people already like what they’re doing with their current data data oh I never assumed anyone likes what they’re doing with Google but it sounds like you it’s what you’re saying okay but I my assumption might be is it’s it sounds like you’re saying oh we already like what we have why

15:11 oh we already like what we have why would we go move to something else I would argue probably part of the reason we’re asking this question to ourselves is we’re not happy with where we’re at it looks like there’s a better tool out there how could we get over to though and can we do this without a lot of extra effort and that’s where I’m that’s where I was trying to say earlier like yeah maybe you land some of your gold data into powerbi and that becomes your place now if you’re a Google shop and you’re already buying Microsoft Word and Microsoft products inside your max okay you’re one step closer to becoming more Microsoft shop

15:41 Microsoft shop anyways even less of a barrier so in these scenarios I have a question in the question is and let me follow up fabric does this cause larger issues right up front for this conversation in winning people over as opposed to the way things used to be and the reason I pose that question is we are talking Tech stack differences but if if the proposal here is how do I how do I

16:12 proposal here is how do I how do I propose propose powerbi was it easier do you guys think it was easier in the past to slip in the 90% of the Microsoft architecture underneath the covers because we’re just getting a reporting tool versus now you don’t see powerbi like as a front up like yep we’re going to do powerbi oh my gosh what are you be like this entire data engineering tool underneath yes why did we get this when we already have big Google big query etc

16:42 we already have big Google big query etc etc is that a struggle point or is that just like something you got to talk past and say yeah we’ll just disable all that that’s a great question I I’m going to go all in or not necessarily all in but I think you’re 100% right the adop option side of powerbi is a lot harder if you’re trying to say it’s Microsoft fabric whereas before it’s like yeah whatever tooling you have on the back end doesn’t matter because all you’re going to be doing is creating a report and you have this whole service for your

17:13 and you have this whole service for your reports in your data models can come from anywhere if you’re now trying to integrate Fabric and say oh we’re going to transition everything that becomes a lot more of a technological push it becomes a lot more of a process push across the entire workstream that was never the case so almost adoption becomes harder if you’re trying to incorporate all of fabric whereas before the only thing you had to worry about is does powerbi connect to your Source I’m I’m I’m a little bit torn by your question Seth I think I

17:44 torn by your question Seth I think I understand where you’re going with this one I have to feel like I like the idea of fabric because it is sneaky it takes the best things that Microsoft has been building for the last I don’t know 10 years 15 years and smooshes them all together and says look we rebranded it as fabric here’s here’s pipelines here’s spark here’s storage accounts here’s you spark here’s storage accounts here’s Delta tables here’s data Lake gen know Delta tables here’s data Lake gen like so to me like doesn’t matter what cloud you’re in almost all clouds have equivalent products all all clouds have

18:15 equivalent products all all clouds have some data ingestion all clouds have some orchestration type tool there’s you if and if you don’t if the cloud doesn’t offer it directly there’s usually other tools that you can buy that go along with it like you could go buy data bricks datab bricks lives in every cloud you can go buy DBT and that helps you orchestrate the engineering of the data what you get with fabric I think is it’s this this more user focused business user focused area where it’s less I have to write a bunch of code and it’s a little bit more simpler to use so I I think I like

18:48 simpler to use so I I think I like the compelling part of the story of okay you’re just starting out with powerbi assuming that that fits your goal and you’re willing to spend the money maybe you do less data engineering inside Google and Google becomes more of a data source to what you’re doing inside the PBI ecosystem so again that I think it’s a very that’s a very important decision to decide if you’re willing to expand into a new tool it’s not just purely again let me let me put some color here when you look at AWS and

19:19 color here when you look at AWS and Google Google has looker AWS has quick insights that’s their reporting tool the data comes from wherever it comes from the data is engineered outside of that tool you have a unique story in the fact that all of the engineering of that data can be done inside fabric all of the heavier analytics or even data science could be done inside fabric now you have an opportunity to say well what do we want to do in the future do we need to go learn other tools maybe but in fabric maybe you

19:49 tools maybe but in fabric maybe you don’t maybe it’s all right there and that you just learn one tool that does more of the things you want does that make sense am I speaking in circles it does I I don’t agree though I your your point of it being sneaky I think it’s the exact opposite of that because sneaky in my mind would be a business unit that wants a new reporting tool and that I think flies under the radar a lot of places true with with powerbi you’re getting a lot more than just the reporting tool agree so I think potentially it makes it harder because

20:19 potentially it makes it harder because you can’t hide it it’s part of the conversation right up front and what you’re doing is you’re challenging a tech stack in an organization that or forcing the conversation of how this thing would fit into that architecture that’s a much larger conversation than just I need a reporting tool for my business people I agree whether whether or not I’m right I don’t know right it’s more waight to the decision it is should we move on or you got any other final comments no I’m I’m good with it my

20:50 comments no I’m I’m good with it my question would be are you go do you have PCS are you comfortable with that are you moving that direction in general do or do you have other Microsoft products engaged if you do then I think that the decision will be easier for you to make I’m going to put this in our topic board but can we close the book on just powerbi if you were only using powerbi and not fabric can we still close the book and say you’re complete or do we have to integrate because that’s that’s where I’m hearing the conversation go back and forth between you guys what do you mean I’m just saying upfront part of the conversation I me you can absolutely

21:20 the conversation I me you can absolutely disable stuff and like just use power that’s not what I’m saying you don’t have to use fabric with all that I just think it’s I think it gives you more opportunity right I think I think fabric just gives you more opportunity to build sure other things that are going to be cheap to run and get the reports out that you need for your team yeah and one other thing I just as you were mentioned here I didn’t write it down but I should have written it down so I almost didn’t forget it but I almost forgot it here was the idea of identity providing making sure you have the right users in the right environment and who can log

21:51 the right environment and who can log into what stuff again if your organization already has Microsoft 365 accounts or you’re paying for that and you’re paying for something in Google that’s another consideration again this is a very like you’re saying cooling up an entire tenant just to support this thing exactly right so do I really want again the I think the main hinge point for me is do you

22:12 main hinge point for me is do you already have Microsoft products and licenses for things already are you just buying office or are you actually buying like the full Suite of like the Microsoft things so if your company already has an M or an E license an M license or Microsoft 365 license for people people it’s much easier for you to get into PBI because by default you can go get the programs you can do use the things if you don’t have those things now you’re paying additional licensing for those things and now every user who touches powerbi either now you’re building a custom application where you’re embedding things which is fine there are

22:44 embedding things which is fine there are solutions out on the internet that make that easy to use or you now have to license everyone so that you can get into powerbi. com at a certain level so everyone can just use it again not wrong it’s just something to consider anyway anyways right your mileage will vary and despite our despite our pleading with all of our people to add names all of these are Anonymous today so hey maybe this is the same person just repeating the same thing over just Tommy asking these questions the next

23:15 Tommy asking these questions the next question yeah thanks Tommy Tommy’s mom questions another all these questions Tommy I didn’t know your mom is using gole question yeah hi hi guys love the show Tommy’s the best that’s it oh no yeah what the heck a question how I get in in there very handsome that’s that would be the time hi guys love the show all the topics have been very helpful and enlightening especially hearing your thoughts and opinions with Microsoft’s push changing from data sets renaming to

23:46 push changing from data sets renaming to semantic model I think someone forgot to change the wording in the service portal when requesting build permissions it still has data owner smiley face I suppose the subject to cover is about the issues that arise when the business changes but forgets communication and things get lost or forgotten in the process how does this feel relevant or what like the two two thoughts right off the top of my head are like how a bunch of words said in a podcast don’t relate to the technical documentation

24:16 relate to the technical documentation anymore feels like this hits home this really hits home recently how one word of change can change a mountain of documentation how relevant I I love the question obviously aside from what just happened on the last few episodes for us talking about goals and stakeholders and objectives and the words have meaning I’ve seen this even in the micro element of when I was a data analyst in building

24:47 of when I was a data analyst in building a report change the name of a title everyone threw everybody off and the little changes that we can do can have a big impact and I was is not aware of building a just a normal marketing report but changing the name of something just so it could fit into a into a visual can change everyone’s perspective and also change what they’re perceiving we have a lot of responsibility here and outside of just that micro instance of a report but man

25:19 that micro instance of a report but man our ability and our responsibility for definitions I I think always goes understated okay so you’re thinking you understated okay so you’re thinking the the report Builder to the know the the report Builder to the audience yeah and I’m saying that’s just a micro instance of that thoughts on this one Mike or you want me to dive in you go ahead and jump in I I have some thoughts but I’m not sure if I’m I’m writing I’m writing some notes Here down so I can put some stuff together here I I think it’s a simple question right so think the business changes and forgets communication it

25:49 changes and forgets communication it happen man forgetting communication between teams especially is a tough one I think this this doesn’t end kind a high the way I think think about this three levels on a higher level well I’ll walk through that like ways to solve longterm and then reactive fix I’m not going to spew them all right here but like the high level ones I think this is like I said tough until all parties recognize that there’s a data lineage right that there are systems of data that work together and there are teams that are owners of each of this

26:20 teams that are owners of each of this data so I think this on a on the larger level starts to fix itself as a company becomes more data literate because a lot of those efforts in pushing out how data can transform an organization how a d how a company uses data also push forward that there are different groups and those groups are aware of the dependencies between each other and there’s a lot more communication around how data changes versus I would say the

26:54 how data changes versus I would say the the modus Opera if you don’t have that is is groups aren’t aware or they’re just doing the changes based on some other requirements that they have to do and then you get disconnects between the systems that rely on each other because there is no process to make sure that change gets pushed out you want me to keep going Mike yeah I’ll throw a couple notes in here too like it’s it I I get disappointed sometimes when Microsoft takes a big pivot on direction

27:24 Microsoft takes a big pivot on direction for some of their communication on what they’re doing it would been nice if they just left some things alone and just let them let them be I think that’s more of a challenge for the people who are eventually it will all get fixed right someone’s going to go through all the the pages and go through and do the you contr f and find all the documentation even now Microsoft is moving their tools so fast that the documentation has sometimes a hard time to keep up you just look at the instructions and did yesterday I was looking the yesterday I was looking at

27:55 looking the yesterday I was looking at the new feature that was released by Microsoft which is like the cloud connections which is basically managing shared connections to data sources that are in the cloud and you can manage them you can rename them you can add people to them but the documentation is very light on what it’s supposed to be doing and why it’s there there’s even an admin setting that looks like it does nothing like it doesn’t really tell you what it’s there and what it’s doing so it’s up for us I think that’s the the community is to come back to Microsoft and say we don’t really understand this can you explain why this is here or you

28:25 can you explain why this is here or you can you explain why this is here or hey this is missing or this is know hey this is missing or this is named incorrectly now because Microsoft is going to Pivot they’re going to change things so that makes sense to them and maybe there was a very strategic way of positioning sales now because now they want to change it from data set to semantic model right in my opinion here the reason you make that change is because the language of the community or the language of what other tools are doing are using this concept of we need we can we can have a central semantic model and that’s The Language

28:56 semantic model and that’s The Language by which other companies are asking for well we need that well you only have this thing called data set Microsoft what what does that mean well and then Microsoft has to explain well so data set is a semantic model it’s the same it’s equivalent so I think maybe this is potentially the the industry aligning a bit more on terminology and Microsoft is adopting some of that and again you’re going to have these weird cases where the documentation doesn’t match that’s a people and a process challenge I think you guys are speaking to two really we are yeah yeah integral element here in

29:29 are yeah yeah integral element here in terms of you talked about data literacy which is more than just communicating but and then there’s also too a lot of organizations will constantly go through not just we’re good now we we understand our words and our terminology yeah but it changes Conant growth and a lot of times especially with adoption there’s rapid change and Rapid change usually leads to a lot of misunder understanding so we always have to be on top of it but we also have to know when we’re doing powerbi or when we’re op opting powerbi or integrating a new system there’s

30:00 or integrating a new system there’s going to be a lot of Rapid ex that Clos mode change that we have to do and evolve but that usually is where the literacy gets lost because like hey we just need to push these processes through push these new technologies through and that’s where the literacy gets lost but again that’s part of the culture so those two are hand inand because they’re never you’re never done with those you’re never done with literacy yeah I think I agree I I think I think we are I’m on a different

30:30 I think we are I’m on a different track I might be answering a different question because the way I took this was a something changes in the business and that’s a structural change to data right like an example of this is like there’s a data there’s a data change and because CRM system decides to change five key columns that we’ve been using for all of our reporting happens that’s where I took it as opposed to I think the like there is is a process that should happen but like marketing re

31:01 that should happen but like marketing re rebrands or re changes and rames like yeah somebody’s got to go through and get the whole bucket list of things that have to be updated and changed because yes otherwise you find yourself in this no man’s land of we change something and have something that doesn’t align to it anymore yeah I do want to complete the thought on on my take on it though because it is it is a problem that I I encounter quite a bit and have in the past where data struct not not completely changes but it it’s a

31:31 not not completely changes but it it’s a new column it’s a column name change it’s something breaks and I think longterm a couple solutions that I found work are and require that groups understand each other are shared erds right like a business I’m with a business unit we’re like here’s the data source our documentation here’s what we rely on from you so when you make a change just let us know and another way I think is also implementing like data governance committees so that like

32:03 data governance committees so that like as changes happen from system to system you’re forcing this conversation if it can’t happen neutrally so that that would be my long term and then a couple ideas for reactive fixes come along and I suppose the this first one could fit into documentation name changes as well but like your own team documentation is it properly architected and the reason I point that one out is is many times what I’ve seen is somebody Who develops a report and all of the data source connections and how they

32:34 data source connections and how they pull them in are all that report name well that means nothing unless you understand that report and or even when you do understand the report you have to go back spend the time to figure out what you connected to what you’re using etc etc no big deal versus the reports the documentation right the Excel file is the documentation just go just go read the Excel file and that just that the process isn’t there right versus properly architecting your own documentation where it’s like data source columns being used right and

33:05 source columns being used right and then where so the The Source system table model is is a a cadence I’ve I’ve used typically where then I can figure out what’s breaking and then also like

33:17 out what’s breaking and then also like monit the monitoring part of this every model and this is a no-brainer but falls into this every model that you’re setting up a Refresh on should have a a centralized failure notification email box because guaranteed if something changes in your structure it’s going to start failing and if you don’t have that mon at least that piece of warning you’re not going to be able to go figure out like what are the things that are broken and fix them it’s just going to be a giant Firestorm so those were my thoughts albeit probably in the wrong direction on this

33:47 on this point no I don’t think it’s I don’t think it’s the wrong thing I think what you’re speaking more to is communication is hard and it’s hard across everything you’re doing and this is just one indication of Microsoft trying to communicate to us they change something and then everyone needs to get on board with the change and what’s going on and there’s going to be always residual knowledge laying around I me there’s how many books and how many books and how many websites have been made with the old information like you look at powerb tips we’ve got hundreds hundreds of

34:19 tips we’ve got hundreds hundreds of pages talking about data sets with screenshots in it the day they changed the field pane to the data pane or the data pane to the field P whatever they did change there everyone’s and I I kept looking at this going I’m so glad I didn’t do General documentation for powerbi because all your stuff breaks and it’s a lot of work to stay up with the tool because the tool keeps shifting so fast they haven’t locked it down yet and so you look on even looking on Microsoft’s website you go to Power cory. com they have screenshots of

34:50 cory. com they have screenshots of powerbi desktop when it had a black bar on the right hand side for the the field pain yes Nostalgia it’s still there like they didn’t change it so they haven’t updated even their marketing materials like so it’s it’s going to happen but I think to your point Seth I really like your point around a central place so you can solve some of these problems with better communication having a plan on how to communicate is worth it I I’m looking I’m thinking initially for companies is a community of practice where there’s a documented

35:20 of practice where there’s a documented page you can go here everything you learn or everything you you build or knowledge that you’re Gathering goes there that way as you’re doing it part of the process is build my report build my data set or semantic model build my things document them put it in a central spot and that way when there are questions or to your point Seth when stuff does change because it will change you least you have a process to say here’s where we’re going to communicate it and hopefully as you continue to enrich that data culture people realize

35:50 enrich that data culture people realize oh the latest information is the is the cop oh I see there’s some things updating there oh here’s the next documentation of the data model and I’ll I’ll admit it’s hard to keep that stuff current and up to date it just is it takes it takes people it takes people and you’re G to have to spend real effort to make sure that’s a value like your data is valuable it’s going to take time and money to make sure that those things stay up to date but that is at the you’re doing that in a way you’re

36:20 the you’re doing that in a way you’re doing that because you don’t want to sacrifice confusion later on yeah I like that question good question Tommy any other final thoughts if you want to move on to the next one no I was I think the biggest thing is I would ask is the difference with us is we are always monitoring the new changes in powerbi my question would be do you assign people to be accountable for certain changes or like you said there’s a mailbox sure but are there people who are monitoring those changes that you’re talking about Seth that’s where I was basically

36:52 Seth that’s where I was basically pondering yes yes and they live on the obviously not a full-time job but be amount of their time you’re saying monitoring those changes proactively or proactively well yeah that you you need structure around that to M 100% like there is someone it’s a team of people that do that it’s the center of excellence it’s the people that are most passionate about it yeah I think the cue is the team that is respon like when a new setting in the admin portal shows up someone’s got to go look at it do we turn it on do we leave it off does it

37:22 turn it on do we leave it off does it default on automatically like fabric did like hey by the way it’s off for three months and then in a couple months just going to default on you’re going to get it whether you like it or not so I do think there should be a team regularly reading the blog regularly going to conferences either online or in person something like that getting knowledge and making sure that they’re following really smart people probably not this podcast because you’re not going to really get much from this thing but other places that have a lot of great knowledge follow the Chris webs blog follow the Microsoft blog follow kind Cube they’ve

37:53 Microsoft blog follow kind Cube they’ve got really good stuff to say and they’re going to regularly add value into you and you’ll hear other opinions and other things that are going to help inform your decisions about what you need to do as an organization so I think that’s strategic very important Christina Ferris in the chat makes I think a good point and she says I think a big problem for bi teams is not including documentation of their reports in their time estimates to the business so it never gets done nor prioritized true yeah right like and I think that’s where work item management tools help out but even allotting the

38:26 tools help out but even allotting the Capac capacity of your team’s time it’s a huge thing I don’t think many many business teams do it nor business intelligence but that’s the value there where you’re baking in the those extra efforts always right like it’s hey great I’m glad your estimate is like you you you can get this done in two days it’s two and a half right because you’re going to take a half a day you’ve got to lay out this documentation whether that belongs in the report whether it belongs in some central location etc etc it’s got to be there

38:57 got to be there right this is where documentation is something where I think co-pilot needs to really help out so good yeah I know if you want to spend energy stop spend like it’s almost table stakes and how simple co-pilot is for coding right where the big big value is explain this formula yeah it should bewhere I just made a bunch of changes here’s the documentation updated for me yeah here’s here’s my timle file of this model compare the last timle to the new timle

39:28 compare the last timle to the new timle summarize for me the changes between these two documents and by the way anything that’s new explain it how that F how that formula is written now you have to reread it click the button update documentation yes please yeah but the the challenge so here here’s where okay this is going to get very like Skynet version of this so this is actually dve tailes very well in here so I I actually have something here I want to share with you guys so I will I will put this one out here just because I think this is funny as well so

39:58 because I think this is funny as well so we we have our our last episode I was talking to Seth the other day and I was like I was like hey Seth we had made something up and and I have just recently purchased co-pilot for my Microsoft account well believe it or not you can have co-pilot prompt you for emails you can have co-pilot summarize a statement you can have co-pilot do things in things in teams I can literally say I want this this and this in bullet point items and it writes a nice hello welcome this other fluff that goes with it so what

40:29 other fluff that goes with it so what we’re doing now is we’re literally saying co-pilot told me to say it like this is what co-pilot told me to say so instead of just making an abbreviated dense conversation with a couple key items we’re now using AI to add fluff and all the other things into things and it feels like at some point in time we’re going to have two people on either end of an email writing bullet points to AI that will now create these long long so I’m going to write I’m going to write say hey Hey co-pilot write Tommy an

41:02 say hey Hey co-pilot write Tommy an email about this and it’s going to write two paragraphs and then Tommy’s gonna get the paragraphs and he’s gonna go hey co-pilot summarize this meeting into three bullet points and then he’s gonna see the bullet point so we’re gonna literally just be like adding words just to add words because co-pilot is writing it and then reading it and then reinterpreting it for the next person like we’re we’re literally just Vol voling data back and forth with AI nowadays like it’s going to be crazy I didn’t want to say this but I have to say I have a problem with this I have a problem I have a problem just because you’re communicating does not mean you’re

41:33 communicating does not mean you’re actually pushing data literacy or you’re actually communicating that’s a one side of communication if you actually break down the word just because I’m sending out a timle summarize this timle I push that out to Confluence I’m done that does not mean that we’re actually pushing it exactly what we’re saying what a definition is more importantly do people understand this more importantly we’re we’re talking about all these external things what happens in the power ba service but what about all the Nuance the more important things that an

42:03 Nuance the more important things that an organization goes through on their own business definitions you either are gonna build a co-pilot your own bot or your own co-pilot which you can do but more important just because you’re pushing out words into the your business spear does not mean that you are actually pushing your data literacy with I I was taught I was taught I was taught that with the right prompts I can do anything with AI you can do a lot but it doesn’t mean that people are understanding it and I know I’m the AI guy and I love it all I love it I love it all which which is but I would I

42:34 it all which which is but I would I would argue this is what this is a step in the right direction well so couple things have to happen here right if I just give you a Dax formula and say here you go is that enough for most people to understand what that measure is doing in the model usually probably not unless you actually are understanding and studying Dax then the second part of this is okay so if I can use AI to do some of that lightweight lifting lifting work around what that means great I agree with you Tommy there’s probably other enhancements that need to be made around these measures and why they exist

43:05 around these measures and why they exist and why they’re there but the other thing too is you have to make sure people read it and understand it I can only do so much to make sure I have documentation to support the models right but you’re missing I’m not worried about the other bi analyst understanding the measure they can figure it out they’re bi analyst they’re smart enough to understand some Dax I’m concerned about the consumer understanding the data that’s where my focus is here and you can push a measure saying this a two trains coming at each other at a certain distance or whatever your mathematical formula is

43:37 whatever your mathematical formula is but is pushing out those definitions that are a lot more nuanced that are a lot more call it ambiguous rather than ax measure yeah I think it needs a human involvement but I think a lot of the I think there’s a lot of low hanging fruit that if you’re just trying to check the box and get documentation at the door again I’m arguing co-pilot should be the tool or co-pilot like things should be the tools that are proliferating this documentation and making it easier like automation of that stuff I think is immensely helpful and I gotta be honest I have as

44:08 helpful and I gotta be honest I have as a developer I have used what does this code do and it explains for me very well what that code is doing so with a little bit of additional data context or context around why this thing exists co-pilot should be able to pick up on

44:21 co-pilot should be able to pick up on some very simple things and again my idea here is like okay is any documentation better than no documentation yes is it is is it perfect probably not but it’s a step in the right direction I’m just saying no I’d rather just have Microsoft make things easier for me to document like my whole there’s another whole area or conversation around this one around documentation that we’re we’re getting into now but it there’s a huge problem with figuring out where stuff comes from

44:51 with figuring out where stuff comes from there’s not a great way of going from the visual all the way to the data source you can’t and I think people ask those questions and people really do want those answers at some point so you need to get we’re going to have to get there eventually Microsoft’s just not willing to put the time to build that type of tooling into the tool today because there’s other bigger fish to fry like getting the data Lake to work but I think we’ll get there where it’s going to have to be more comprehensive like that yeah the Greggy

45:21 comprehensive like that yeah the Greggy is is going into like the some table field adds all numbers blah blah going to mean anything to be that’s not what I’m talking about like documentation for the purposes of data lineage and or on a high level having somebody have a repository of information that they can go and understand what we’re developing and what we built without having to ask me like what I what the the danger for b devs or anybody in general is we

45:51 devs or anybody in general is we build things and we answer all the questions and don’t understand how large that impact is into an organization when I leave right like all of that goes with me and what requires is if we didn’t do any of that documentation for other people or even high level I think it’s in two ways for other people and for highlevel reference for myself so that I can quickly triage a problem because I’m not going to remember everything hundreds or thousands of pipeline

46:22 hundreds or thousands of pipeline different things where data goes give like I don’t want Uber detail what I’m suggesting I think Mike is too is there is the Uber detail in documentation it’s in the code it’s in places where people can see it llms and Ai and co-pilot should be able to like on a high level summarize that for different purposes correct so I think we move on to the last question or at least one more question yeah and I’ll I’ll I’ll

46:54 question yeah and I’ll I’ll I’ll although it’s opposite where he leads the person leads with a question and then says a bunch of things or has a recommendation I’m going to start with that and then I’ll end with the question so big thank you for having these podcasts love listening to them still wishing for the day for which you would do them every day of the week but F this was me this Tommy for sure Tommy’s Tommy’s the funniest and the handsomest also had a had a recommendation or a request to add a other category in our podcast like

47:27 other category in our podcast like thing not everything fits into the the request form so with that being said thank you for your question per request I’d love a podcast on technology so this is the opposite Tommy this is why I was poking you in the first question I’d love a podcast on technology influencing process versus process influencing technology yes that’s a whole the answer is yes yes I think we actually discussed this partially not long ago related to like

47:58 not long ago related to like organizational streamlining of data culture where having a mixed grab bag of tools creates inefficiencies in organizations and on top of that right like knowledge gaps support problems Etc so like trying to Rally around Tech stxs I think is part of this conversation where technology is the focus and trumps or supersedes you focus and trumps or supersedes that conversation rather than know that conversation rather than process always defining like a direction which you go but what are some others

48:29 which you go but what are some others that you guys can think of well I think the irony here is almost could not be sweeter but the idea of the AI side I that’s a perfect example here of Technology influencing the pro process we do Mike I’ll give the perfect example you talked about the timle file or the timle project folder well I can now take that folder use a tool like Cruiser Ai and say hey explain everything going on you’re you’re basically give it a rooll explain what I want it to do and provide that

48:59 want it to do and provide that documentation what needs to be fixed if I was at data R if that was a role that’s exactly what I would be implementing saying everyone’s getting Cruiser AI everyone’s getting a license an open AI key and we timle files you’re going to look and take a through the lens of this Cruiser AI platform also with when it comes to a consumer point of view I’m absolutely integrating to your point llms whether it’s the Llama chat or whatever the some of the new

49:29 chat or whatever the some of the new lar lm’s platforms are and I’m implementing that part of my developer process but more importantly I’m implementing that part of co-pilot co-pilot studio right now that would be absolutely something that changes what I do changes not only the process of building a report but the plat the the funnels that it goes through so even though I just said co-pilot is not going to solve everything it’s absolutely going to change my process and it’s going to change how I perceive the data throughout this the

50:06 journey yeah I’m going to go on like so I I feel like this is a chicken and egg scenario to some degree right you use technology to try to solve a problem but then sometimes the problem isn’t the technology sometimes the problem is your process and you’re or there’s a new technology that it appears that is doing things more efficiently I I would I I would say most of what drives technology is time and cost and again that sounds very vanilla but let me explain a little bit more here I think what I what by

50:37 more here I think what I what by that is that is given enough time you can build the best solution you you would ever want and your the amount of money you spend on something or don’t spend on something is where you invest your your money right so for example I may want to go with power because it’s a better cost savings than us doing everything in Excel or another program or something else right so the reason I see people moving away from click and Tableau is because it’s expensive comparatively to

51:08 because it’s expensive comparatively to what they want to do with powerbi powerbi is a much more reasonable program so the technology has been able to compete change and that is now the technology now is influencing my process because I want to take advantage of the faster time because I can deliver quicker or I want to take advantage of lowering my costs by using this new tool so I I think those two pieces influence influence why why we we change with the technology

51:39 why why we we change with the technology pieces and what Microsoft’s doing there right so Microsoft also envisions a world where low code no code Solutions are going to rule the world they’ve done their analysis they know there’s going to need to be hundreds of apps across organizations and companies and instead of us being building like power apps in this case we build data apps these are apps around data so we’re building all these things and so what I think is happening here is Microsoft is saying look we’re going to produce something that’s easier now what does this do I think by changing the

52:09 this do I think by changing the technology and by thinking about things differently this another example here would be The Medallion architecture by changing your to from SQL what you’ve been doing previously to a medallion type architecture the technology under the hood changed but the principles of data warehousing have not those are still the same we’re still talking about star schemas facts and dimensions so in principle some of your process Still Remains consistent but you’re now able to do new things with new technology pieces so I I don’t know how if I even answered the question this

52:40 how if I even answered the question this is just maybe random thoughts around how technology influences process and how process is adapted to the technology because it goes both ways I don’t think you could have entirely One Direction or the other well I I like your point which is regardless of which dire Direction you’re going your the the goal is to solve the business problem and that’s typically with less time less money in one of two paths yep efficiencies to save money yep or Revenue generation to

53:10 save money yep or Revenue generation to make money that’s it that’s all we do it’s it should if you’re doing anything other than those two things as long as as long and I took this like my answer on more of a business level related to those because rather than like kind to those because rather than like RBI because if we think about what of RBI because if we think about what is or I think about how this question is posed all I could think is well if I’m technology influencing process that’s the act like it part of our phrase think

53:40 the act like it part of our phrase think like the business act like it right what are we already doing where we’re pushing technology and influencing process it’s one of the main things we talk about all the time automation of manual data processes we’re saying there’s a technology that should influence and stop you doing virtuous waste activities where you’re burning company time doing things that we can automate right that’s a that to me is an

54:10 automate right that’s a that to me is an example of Technology influencing a process and it should be done much much more and I think one of the most valuable points about data culture and literacy within an organization is people don’t know that this can that they can do this so that does scale because I think that short-term efficiency which there is gains in also elevates into having ETL for Enterprise systems right having processes where you’re centralizing da data allow you to

54:42 you’re centralizing da data allow you to scale for long-term efficiencies because data access and the arena of having all of this data together for people leads to smarter gen smarter decisions leads to better analysis leads to revenue generation in many areas or additional efficiencies so I think in many cases like choosing to implement technology to solve data problems is the answer like

55:13 solve data problems is the answer like is what is happening as you start going down this this path But ultimately it’s about it’s mainly about what we’re solving our efficiencies in data access in data collection and

55:27 data access in data collection and consolidation and like semantic models right like is even one of those we’re creating a repository of business in aggregated business information that allow for fantastic analysis across many different reports or across the business unit to allow them to gain more insights and these are all technologies that we’re pushing on the business that they otherwise are just going to fall into because they they need some reporting but don’t understand I think the scale at which we can help

55:58 I think the scale at which we can help solve them solve a lot of these problems by the technology that we’re pushing and that is powerbi it’s Thea models it’s fabric it’s all of this entire ecosystem that allows them to start at a point and then scale up but it’s still all under the efficiencies of Revenue generation and the power of data in an organization I don’t have to rehash like go out and read the articles that have been written for the last 20 years how large the proliferation of data has been but when

56:29 proliferation of data has been but when companies start to leverage that data they are setting themselves apart from their competitors by Leaps and Bounds and you guys know this right so like by going down this journey it you’re you’re adding so much value and I think in general pushing Technical Solutions to these data problems for organizations to rapidly evolve into now as opposed to it being this long-term long strategy and

56:59 being this long-term long strategy and that’s the only thing you can plug into is a return on investment way down the road versus incremental winds that are getting you down that path immediately you the more I think about this idea of process versus technology or which one influences I’m leaning so much I think to your point if you’d agree that technology really dictates process if I had a bike to get to work or I had a car to get to work that’s going to dictate what time I wake up what I bring with me and what route I take in the same

57:29 and what route I take in the same fashion if I had I’ve seen power apps dictate in completely change a team’s process what we have in powerbi the solution allows us to be more business facing so I don’t know if that’s agreeing with you or if I’m taking that another step further Seth but to me I’m leaning more that really technology is the not sole influencer but the primary influencer of what process is actually going to be put in place I think I think I don’t disagree with you I think the danger around and why people don’t like

58:01 danger around and why people don’t like technology technology first then is it it sometimes pigeon holes you right like yeah in it sectors you should be constantly innovating you have to be constantly looking for the next best thing and if some competitor comes out with a tool or a technology that far surpasses what you’re using like in every way shape or form and all you say is nope we’re not going to do it you’re choosing technology over a better

58:31 you’re choosing technology over a better path I think the the the thing I would caveat to your thing Tommy is whether it’s a new process that drives to a technology or a technology that is driving towards a process if the objective is for a positive net benefit to the business in efficiencies of Revenue generation or something along those lines that impact the business then yes it’s a good decision M but solely choosing something purely because it’s a technology that you’re familiar

59:01 it’s a technology that you’re familiar with or you want to push on people may not be like is is where I go because those are those are bigger decisions because people know Technologies they know skills they you’re revamping or reorganizing know you’re revamping or reorganizing depending on the decisions you make around that yeah For Better or For Worse the technology May influence it but it may not be a net benefit so completely agree I’m going up the reservation here and I know we need to wrap here for final thoughts but as I think about this particular topic and and exactly this question here

59:32 and exactly this question here technology versus process or people versus technology however you want to focus on this one I think what we’re seeing is there is a by making data engineering more of a commodity we’re now able to allow people to explore explore test people there was a barrier to this technology world because there’s a lot of you had to write everything in code not everyone knew how to write code the next generation of children that are going to be ra raised up even my

60:03 going to be ra raised up even my kids all of them know how to use computers devices has been a part of their life they’ve had high-speed internet since they were kids like do you we remember when you had a dial like the internet was thing when I was young like so Gateway I think original Gateway yeah people are making new careers on just making YouTube videos like this is stuff that never existed before so there there are things that are happening now in the technology world where the data and the analytics

60:36 world where the data and the analytics is now I think accelerating the importance of those things every company I think knew it before but it may have been cost prohibitive to store all the data it may have been cost prohibitive to hire really sharp people to manage databases the entire time what’s happening now and especially with parbi and fabric is we’re bringing data down to a commodity type level so what’s happening now is we’ve got more data than ever before it’s continuing to grow at an aeric rate AI is generating a whole bunch of content and or we can use

61:08 whole bunch of content and or we can use AI to analyze new video and video content like someone was talking in the chat window here about hey it’d be really cool if I could have like a recorded video of walking through my data model and then have that text be searchable where people could you could literally record your documentation have it in in micr roft has an AI video indexer that does exactly this you can have a whole bunch of videos talking about your data models and what your documentation is doing and that is the documentation the it’s going to save us time it’s going to save us money and we’re going to be able to use technology in new ways and this is why again I’m

61:39 in new ways and this is why again I’m going to be a bit weird here this is why I’m hearing all these companies I think dualingo I just saw an article dual lingo just fired a bunch of their contractors that were generating quizzes to help you learn another language du lingo is a a language app what they said is they can incorporate AI to build tests faster than hiring contractors to do the same thing if I can pay a computer program 50 cents an hour to run versus someone 35 or $40 an hour or whatever the contractor rate is that I

62:11 whatever the contractor rate is that I will do that every time so again the technology is saving you money and it’s saving you time potentially and so these things we have to take notice on them and companies are continually competing on data one great one great example of people come competing on data here is the Boston Red Sox I just said that just for Tommy because I want to hear I’m out thanks guys they isn’t isn’t the story around the Boston Red Sox where they started they were one of the first baseball teams to start trying to use Ai and analytics to try and they were using Advanced statistics with Moneyball I

62:43 Advanced statistics with Moneyball I think that’s what you’re Ai call AI whatever it is no well not AI they’re dumb they’re they’re non AI nobody’s better than the Yankees they got no intell there’s just a artificial oh my goodness spewing from the from the podcast mik Tommy has a platform he’s willing to use it Pok that bear oh I did I did po that that was that was a softball lob to You Tommy and you I think you knock that one out of the park so d but whether it’s

63:14 the park so d but whether it’s them or nothing else like you look at Amazon clearly they are a logistics company yes they sell you Goods but their whole like they have outperformed everyone else and they’re performing everyone else with their products because their data and their automation is second to none they can outd deliver anyone else and where do I buy most of my stuff all on Amazon because it’s a much better experience and the technolog has changed so all this to say basically is the technology will change people will find new innovative ways

63:46 people will find new innovative ways data is going to continue to increase so stay close to this space and continue working on more faster better more efficient ways of doing things because if you’re not making money or saving money with your reporting or your data you’re the Boston Red Sox you’re the Boston Red Sox wasting all your money that’s exactly where I was going with that one no not at all anyways let’s do quick final thoughts and we’ll wrap here Tommy final thoughts keep doing your mailbags guys I think all these questions are so

64:16 think all these questions are so relevant and they’re all related when you think about AI technology process and data literacy Technologies continuing to move faster than people can comprehend or people can stay up with much less an organization if you are someone who loves this stuff keep reading keep keep reading up on it because the role of someone being on top of this is going to be a requirement it’s going to be either that unicorn role or someone who’s going

64:46 that unicorn role or someone who’s going to be so heavily dependent on an organization to be on top like oh I know what’s going on with the technology I’ve seen these latest updates but more importantly I see how this can be a solution for us so if you love this stuff keep reading up on it keep being on top of it so Seth any final thoughts love these questions so thank you very much to those that submitted them keep them coming we we love your feedback we love talking about the the different ways in which you’re thinking about things in your business intelligence world or Journey and

65:18 intelligence world or Journey and we’ll we’ll keep we’ll keep doing episodes like this one excellent hopefully hopefully answering them or just VI our stupidity so in in true fashion here so I’ll end here with a with a great dad joke at the end of this this way this way people actually want to listen to the end here so how does Chuck Norris do data anal analysis analysis anybody he doesn’t need data he already knows the answer he already knows the anyways with that I will say

65:49 the anyways with that I will say thank you very much for the questions this is great things to think about stay close to data and career things and again keep remembering like it’s going to be is it making you money is it saving you money if I think if you if you focus on those things and Focus your efforts around those pieces that will definitely help your data career and move you forward there as well if all else fails just remember that co-pilot told me to say that just in case you ever need an excuse on to why you said something you did so that that is my new excuse from now on I’m using co-pilot everywhere it is

66:20 using co-pilot everywhere it is becoming my thing so co-pilot told me to say it anyways thank you all very much we appreciate your time on the podcast we hope you had a fun time and enjoyed the conversation today many more to come we’ll see you next

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