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IBM Service Management

Data Governance Maturity Model

*Data Governance Maturity Model*
Item #	Category	Description
1	Organizational Awareness	Awareness Describes the level of mutual responsibility between Business and IT, and recognition of the fiduciary responsibility to govern data at different levels of management.
3	Policy	Policy is the written articulation of desired organizational behavior.
2	Stewardship	Stewardship is a quality control discipline designed to ensure custodial care of data for both asset enhancement, risk mitigation, and organizational control.
4	Value Creation	The process by which data assets are qualified and quantified to enable the business to maximize the value created by data assets.
5	Data Risk Management	The methodology by which data risks are identified, qualified, quantified, avoided, accepted, mitigated, or transferred out.
6	Security / Privacy / Compliance	Describes the policies, practices and controls used by an organization to mitigate risk and protect data assets.
7	Data Architecture	The architectural design of structured and unstructured data systems and applications that enable data availability and distribution to appropriate users.
8	Data Quality	Methods to measure, improve, and certify the quality and integrity of production, test, and archival data.
9	Data Classification / Metadata	The methods and tools used to create common semantic definitions for business and IT terms, data models, types, and repositories. Metadata that bridge human and computer understanding.
10	Information Lifecycle Management	A systemic policy-based approach to information collection, use, retention, and deletion.
11	Audit & Reporting	The organizational processes for monitoring and measuring the Data value, risks, and efficacy of Governance.

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