Patrick Taggart

Data & Analytics nut. Forever curious. Always learning.

[Patrick Taggart @PatrickRTaggart]

@RVrijj @iandmacomber Possibly Hex. It’s a game changer and I fully agree here with the possibilities. I see ramp is listed as a customer: https://t.co/FuIlJPwJYA

[Patrick Taggart @PatrickRTaggart]

@IlirAliu_ Factory physics is really good. I see it’s been mentioned. Factory physics for managers is their management oriented book that provides the same core insights. Excellent for understanding factory flows, inventory etc.

[Patrick Taggart @PatrickRTaggart]

@SecretCFO We've deployed Hex as an AI Analyst. Awesome platform. It tracks token spend through credits per task per user. We're about to find out if the quick interactive answers we are getting are worth the cost or if the real hero all along was that old excel spreadsheet

[Patrick Taggart @PatrickRTaggart]

@SecretCFO If the team are Microsoft adverse then have a look at some of the content from @SeattleDataGuy . I am not as familiar with non Microsoft tooling but he has an article on data tooling options in 2025 (https://t.co/Q25MWgzTLq)

[Patrick Taggart @PatrickRTaggart]

I would look at Microsoft Fabric (Power BI) for a few reasons:
- Microsoft has designed it to have a low barrier to usage with low code / no code option. You do not need a full data team to start off with. Often people from Finance and Operations end up providing initial support
-Fully integrates with other Microsoft products
- Large user community. Lots of help and support out there
- Scalable service. You do not need to buy the full service and can start small
- It connects to pretty much anything. For example, you can store data in tons of spreadsheets in excel with names like 'Data Feb' and 'Data March' and it will connect and join these files
- Security etc is built in
If you want to explore more I recommend connecting with the team at https://t.co/8Q5NEty97n (@Mike_R_Carlo ) or https://t.co/n0DHLouy9v (@marcorus ) Both are business focused after you poke around a bit

[Patrick Taggart @PatrickRTaggart]

@tunguz The OG starlink😂

[Patrick Taggart @PatrickRTaggart]

@SeattleDataGuy - An accountant thinking the new BI sales report will reconcile with his financial records

[Patrick Taggart @PatrickRTaggart]

@SeattleDataGuy @Alex_TheAnalyst There is an interesting article from Data Goblins talking about some of this. You can find the link below:

https://t.co/qccoTbO85Y

[Patrick Taggart @PatrickRTaggart]

Thanks for sharing the video

My experience has been that:

You need the ability to constantly manage business expectations. Many senior executives will be exposed to new technologies (like Gen AI) through consulting firms or conferences, often shown in the most optimistic light. Some will expect you to implement what they have seen. You have to constantly manage up and keep them aligned to the basics that generate most of the tangible business value while not coming across as a luddite

You need to be able to keep your pulse on the heartbeat of the business, how it makes money and the constant challenges it faces. This is in line with what you have shared. I have seen a few senior data leaders appear aloof and out of touch as they try to build up some capability that ..may… only become useful in a few years time

You need constantly protect the time of your team from the inevitable barrage of business requests. This includes putting in the leg work to come up with a decent process that funnels and prioritizes business requests while not coming across as too rigid and tedious. It is a constant balancing act

You need to learn how to diplomatically say NO to many business stakeholders while not coming across as dismissive of their needs. A big part of this is having empathy for where they have come from and what they are ultimately trying to achieve

You need to constantly ensure your team are on the same page and also individually feel they have the opportunity to grow in their roles and gain the experience they need. You are only as good as they are

So most of this is non technical. However you need to also stay on top of technical discussions to be able properly ask the right questions of your team.