Data Maturity Assessment

97% of firms have reported investing in Data and AI initiatives as of 2022.

But only 26% report that they succeeded in creating a data-driven organization.

According to Gartner, organizations go through 5 stages of data maturity:

1. Basic
2. Opportunistic
3. Systematic
4. Differentiating
5. Transformational

Your stage determines the problems you need to solve. Governance and RoI are more important in Stage 4: Differentiating. But Productionization and Pilots are more important in Stage 2: Opportunistic.

Gramener's data maturity assessment is a survey that shows where your team lies on the data maturity spectrum (1-5).

It also shows you where you stand on five dimensions of the data science life cycle: Vision, Planning, Execution, Value Realization, and Data Culture.

If you are starting your data & analytics journey, this will help you understand the key enablers and plan for the journey

If you are midway through your data & analytics journey, this will help you assess strengths/weaknesses and move up in data maturity