Regular guest Gordon Wong joins me to chat about the impact of AI on attention and expertise, product management, and much more.

Regular guest Gordon Wong and I chat about what you should think about if you want to work in data. Spoiler - it's probably not what you think.

Shoutout to GoodData and MonteCarlo for sponsoring this episode.

Dia Adams and Gordon Wong join me for a chat about data strategy in the age of AI.

It's December 31, 2024. Gordon Wong and I wrap up 2024 and chat about what we're excited about in 2025 in data and otherwise.

❤️ If you like my podcasts, please like and rate it on your favorite podcast platform.

🤓 My works:

📕Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/

🎥 Deeplearning.ai Data Engineering Certificate: https://www.coursera.org/professional-certificates/data-engineering

🔥Practical Data Modeling: https://practicaldatamodeling.substack.com/

🤓 My SubStack: https://joereis.substack.com/

Regular guest Gordon Wong joins me for a half hour to chat about tech stacks for analytics, semantic layers, and much more.

Gordon's LinkedIn: https://www.linkedin.com/in/gordonhwong/

Gordon Wong and I chat about why most data teams aren't that valuable, and ways data teams can deliver more value.

Imagine you're dropped into the middle of a failed data project - no data team, no documentation, and other horrific things - and have to figure out a way to make it work. What would you do?

Gordon Wong and I chat about various aspects of how we'd handle this scenario.

Gordon Wong has led data teams of all sizes, across many well-known companies. I consider him a Yoda in the data field, and this is a glimpse into the monthly chats that Gordon and I have. Unfiltered and uncut. Enjoy.

Please note - we had to cut it a bit short, as Gordon had another call at the top of the call. Again, this is literally a look at a normal chat that Gordon and I engage in.

Gordon Wong is on a mission. A long-time business intelligence leader who has led data & analytics teams at HubSpot and FitBit, Wong believes BI teams aren’t data-driven enough. He says BI leaders need to think of themselves as small businesses owners and aggressively court and manage customers. He says too many don’t have metrics to track customer engagement and usage. In short, BI teams need to eat their own dog food and build success metrics to guide their activities.

If you are a data or analytics leader, do you know the value your team contributes to the business? Do you have KPIs for business intelligence? Can you measure the impact of data and analytics endeavors in terms the business understands and respects? Too often BI and data leaders get caught up in technical details and fail to evaluate how their technical initiatives add value to the business. This wide-ranging interview with a BI veteran will shed light on how to run a successful BI shop.