When companies are using their data towards an AI-future, who should be measuring the ROI of those data products?
As a data leader, if you're not measuring & communicating your ROI, someone else is measuring it for you, in their own way.
In this clip from my conversation with Robin Patra (ex-Cisco & BlackRock), he shares his own experience & learning with managing the ROI of data products, both his successes and failures. Find out why connecting your data investments to business objectives is crucial, and why never ever ask for budget to do a Snowflake / Databricks migration! XD

I've always been an advocate for data leaders to have cost awareness when building and growing their data platforms. However, my podcast with Marcia Stipanich Martins has opened me to a new perspective: cost itself is not the key—ROI is. When data leaders maintain a clear and concrete view of their product ROIs, they don't need to stress about high costs or exceeding budgets.

I'll quickly set the stage, now let's hear it from the pro:

I hope everyone is having a great start to 2025! As I promised during the holidays, here is the first of my series on managing data estate effectively. I'm starting with a tangible yet challenging topic for many data leaders: The operating cost of running a data function in the cloud:

🎄 Whereever you are, Merry Christmas and Happy Holidays! 🎄 If you are online, taking a phone break from the rest of your holiday celebrations, hopefully you will enjoy hearing me talking about enterprise data and value for a few minutes. 😃