# “Let’s define a data strategy.” Translation: let’s argue about tools for 6 mo...
Canonical: https://social-archive.org/tgroenwals/npooPFcUSW
Original URL: https://www.linkedin.com/posts/sebastianhewing_lets-define-a-data-strategy-translation-share-7447190737261309952-fwUU/
Author: Sebastian Hewing
Platform: linkedin
## Content
“Let’s define a data strategy.” Translation: let’s argue about tools for 6 months. Here’s the thing nobody wants to admit: Most data strategies are just about data stacks. Not actual strategy. If you want a strategy that survives the next reorg, AI hype wave, or exec sponsor change - start here: 1. Problem: What are we solving? 2. Users: Who are you serving? 3. UVP: What's our data team's secret sauce? 4. Solution: What are we building and what are we NOT building? 5. Distribution: How will we get this in front of users without chasing them down? 6. Systems: What helps this scale without breaking us? 7. Outcomes: What will users actually do differently? 8. Costs: What’s the real investment? (Spoiler: it’s not just the software) 9. People: How will we grow a team that wants to stick around? 10. Vision: What guides our decisions when priorities clash? Answer those 10? You’ve got a data strategy. Ignore them? You’ve got a dashboard backlog and a stack no one uses. ♻️ Repost if you've ever watched a “data strategy session” turn into a Power BI vs Tableau debate. 👉 And follow me, Sebastian Hewing, for daily posts on data strategy.