What is a data maturity model? Frameworks, Stages & Tips

This post details the concept of data maturity models, their importance, and outlines a five-stage progression (Initial/ad hoc, Emerging, Defined, Managed, Optimized). It emphasizes the role of data governance, technology, people, and culture in achieving maturity, particularly in the context of AI adoption. The post also provides guidance on how to assess current data maturity using frameworks like DAMA DMBOK, focusing on evaluating governance, technology, and culture.