Establish enterprise value hypothesis and baseline
Broad platform activity does not automatically become a shared story of value.
Different teams can see real progress while disagreeing about the outcome worth proving next.
“Usage is up everywhere, but I can’t point to one result that makes the case.”
Carlos Cardoso · Director of Data Platforms
Leads the customer’s central data team and must explain the value of expanding shared capabilities to business leadership.
What pulls against what
- engineering momentum vs. enterprise meaning
- speed narrative vs. reliability narrative
- observed activity vs. causal value
- shared direction vs. domain autonomy
What is at stake
Without a credible shared value hypothesis, expanding adoption may remain technically active but strategically unfocused
Why Databricks
This matters because customer value often becomes more durable when technical activity can be connected to a credible business direction.
Written for
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.