The data management framework is a business capability that delivers the structure in which all other data management sub-capabilities operate. Rules and roles are the core components of the framework.
The data management maturity model framework includes best practices in six key categories that helps organizations benchmark their capabilities, identify strengths and gaps, and leverage their data assets to improve business performance.
Data quality is a set of practices that aim at maintaining a high quality of information. It goes all the way from the acquisition of data and the implementation of advanced data processes, to an effective distribution of data. It also requires a managerial oversight of the information you have.
Metadata management describes the proactive use of metadata to govern data in a way that ultimately supports well informed business decisions and efficiency.
Metadata management tools include data catalogs, or assemblages of data organized into datasets (e.g. searchable tables or other arrangements).