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- An identification of core campus systems that produce data of common interest and the respective data owning department(s), individuals, and data stewards.
- An assessment of the data collection and management practices and data quality of the systems.
- Entry of common data attribute names, descriptions, and descriptions into business rules into a campus data dictionary and catalogue of business rules, transformations, and possibly catalogue along with aliases.
- A data flow diagram per subject or data context of where the data is transmitted to and how often.
- An assessment of what it means to implement a "zero data defect" policy for this data set.
The maturity model goal isis separated into three areas, each with the goals:
People
- Data governance has executive-level sponsorship with direct CIO and Executive Leadership support. Executive-level decision-makers view data as a strategic asset. Management understands and appreciates the role of data governance – and commits personnel and resources.
- Business users take an active role in data strategy and delivery
- Data stewards emerge as the primary implementers of data management strategy and work directly with cross-functional teams to enact data quality standards
- A data quality or data governance group works directly with data stewards, application developers and database administrators
- Organization has "zero defect" policies for data collection and management
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