1) Do we need to standardize on a single BI tool?

Not necessarily. Many organizations succeed with more than one front end as long as steering metrics stay consistent and definitions are shared.

2) Who should own metric definitions: business or data?

The business should own meaning and usage. Data teams should own implementation and quality. The key is that ownership is explicit and visible.

3) How do we build trust in KPIs?

Trust increases when users can understand the definition (catalog/wiki) and validate it (evidence reports, drill paths).

4) How do we prevent departments from requesting random data?

Shift the conversation to decisions and outcomes. A service-oriented approach helps teams clarify why they need data and often leads to better metrics than what was initially requested.

5) How do we scale adoption beyond a few enthusiasts?

Invest in literacy, create multipliers, and have leaders role-model the use of agreed steering metrics in recurring meetings.