Structured maturity models can address program, reliability and safety improvements while ensuring regulatory compliance.

The Data and analytics maturity model is a tool to chart a path toward improving overall organizational capability.

In this article, I have taken Gartner’s four-phase data maturity model (pg. 9) and customized it to help assess the maturity of your data-driven customer retention program.

CLE Center offers Law Firm Data Maturity Model: Is Your Firm Being Left Behind? course for continuing legal education credits individually or part of a compliance bundle. Learn more about this ...

Four stages help organizations evolve the business value of data privacy programs from compliance to customer trust ATLANTA, Feb. 6, 2024 /PRNewswire/ -- OneTrust, the market-defining leader for ...

See how your enterprise can leverage data as a strategic asset, going from reactive to transformative in your data analytics journey, and translate insights into revenue.

AI-based analytics form the most impactful pillar in the model, enabling digital twins to conduct pattern recognition, demand ...

Know the stages and where you land Data maturity is represented by a five-stage model. Where your organization lands is dependent on how important data is to your operation, as well as your investment ...

Alation has launched a Data Culture Maturity Assessment to enable organizations to quantify the true value of data initiatives. The pioneering framework will allow companies to demonstrate how a ...

The data maturity journey is one towards mastery, a state in which data and analytics are integral to the way the business as a whole, and every process within it, works.