Data is a vital asset for enterprises of all kinds. Smart businesses are seeking new strategies to manage their growing data repositories.
Data governance ensures that the data is relevant and that identified changes to the status quo, like internal processes and system changes and market disruptions, are judiciously reviewed to ensure that they do not negatively impact the relevance, timeliness or quality of the data.
Governance ties all the information assets and technology components together and is responsible for achieving the synergies needed for operational excellence; this typically includes data/information governance framework, charter, policy, process, controls standards and the architecture to support enterprise-wide data governance.
How can your organization comply with data-privacy laws and still perform effective data analytics, including analysis of historical data? Anira's Data Governance module makes it possible to meet enterprise priorities while remaining compliant with ever more stringent data-privacy laws.
The foundation of this multi-level structure is the Data Management Maturity Model (DMM), which is a branch of Capability Maturity Model (CMM), a registered service mark of Carnegie Mellon University.
Aspects of data governance were blended into this model to come up with specific characteristics of each level.