Assessing data maturity

Data maturity refers to the extent to which an organization can effectively and efficiently utilize its data. It encapsulates several facets, including data management, data governance, data quality, data integration, and the ability to derive insights and value from data. There are some well-recognized data maturity frameworks from the Enterprise Data Management Council (EDMC) (https://edmcouncil.org/) and Data Management Association (DAMA) (https://www.dama.org/).

You can refer to Figure 4.5 in Chapter 4, Developing a Comprehensive Data Management Strategy, for the gap analysis of data maturity.

When you want to show the gap between the current and target state to the stakeholder, and when you want to keep track of the improvement in data maturity level for the organization, you need to know where you are now. That is why you need to have a data health check via a maturity assessment.

Why is a data maturity assessment vital to your organization? Here...