Data maturity · Self-assessment
Implementing AI means trusting your own data. See how ready your company really is to make the leap.
Answer 20 questions and get an honest read on where your company's data maturity stands today, and what it takes to move to the next level.
20
Questions
5
Pillars
3
Profiles
What we measure
01 The foundations
Data functions and structure
Is data a core business function, or a side project?
02 The value
Trust and quality
How much do people actually trust the data as a product?
03 The mechanics
Capabilities in practice
Is there a real person behind each role, actually exercising it?
04 Daily habits
Operational maturity
Is data governance a routine, or an emergency response?
05 The vision
Leadership and strategy
Is there top-down support for data initiatives?
BONUS
When you finish, you get the maturity report for your level: a diagnosis, a roadmap, and a real case from a company we helped that was in the same situation.
When you finish, you get the maturity report for your level: a diagnosis, a roadmap, and a real case from a company we helped that was in the same situation.