Governance defines the processes and systems by which an organization operates. It is the act of affecting the administration or management of an organization while monitoring the long-term strategy and direction of the organization.
Within any organization, there are different subsets of governance with operational interactions: Financial Governance, Corporate Governance, and Information Governance and Regulations.
Data Governance is the formalization of activities associated with the definition, production, collection, usage, storage, and disclosure of an organization’s information. The goal of data governance is to leverage information as a reusable and reliable asset.
- Data Governance Guide for BCBS 239 and DFAST Compliance
- Chief Data Officer Handbook for Data Governance
- Data Governance Tools: Evaluation Criteria, Big Data Governance, and Alignment with Enterprise Data Management
- IBM InfoSphere – A Platform for Big Data Governance and Process Data Governance
- Big Data Governance: An Emerging Imperative
- Selling Information Governance to the Business: Best Practices by Industry and Job Function
- Best Practice Policies to Support Alation Data Catalog
- Data Governance in a Box with Oracle
- Data Sharing Agreements: A Solution to Data Hoarding
- Data Governance in a Box with IBM InfoSphere: Leveraging IBM’s Tooling to Operationalize Data Governance
- SAS®: A Comprehensive Platform for Big Data Governance, Data Management and Analytics
- Data Governance in a Box: An End-to-End Approach to Operationalize Data Governance
- Big Data Policies and Standards
- Big Data Governance with IBM BigInsights and IBM InfoSphere Information Governance Catalog