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

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

What is model drift? Model drift is the degradation of data analytics model performance due to changes in data and relationships between data variables.

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.

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.

Cyberattacks on U.S. critical infrastructure — including ransomware assaults, supply chain compromises, and state-sponsored ...

The Data Mapping product has been designed to address the issue wherein privacy professionals need to identify where data is stored and which systems contain personal information.

The Zero Trust Maturity Model’s five pillars — identity, devices, networks, applications and workloads, and data — are meant to be a guide for federal agencies zero trust strategy implementations and ...