Data Governance
What is data governance?
Data governance refers to how an organization creates, collects, retains and uses data. An organization with a well-implemented data governance practice will have identified data owners and data stewards of enterprise data, formal processes for managing data through its lifecycle, and a governing body for enforcing and ensuring compliance with those processes. So, in essence, data governance explains an organization’s philosophy on information collection, use and management. This is a big job that literally grows every day, given the amount of data in the expanding digital universe.
Data governance is continuing to evolve in its definition as enterprises further understand the potential of data for their organizations. While regulatory compliance and a focus on data protection and risk management traditionally has been at the heart of data governance, the focus of today’s data governance teams has expanded to include improving data quality, raising data literacy and enabling governed data self-service. Learn more about our definition of data governance.
Why data governance is important but challenging
Drivers & benefits of enterprise data governance
Regulatory compliance
Operational efficiency
Revenue growth
Privacy & security
Accurate analytics
Data literacy
Data quality
Improved decision-making
Innovation
Customer satisfaction & trust
Reputation management
Governed data accessibility
Why trust erwin for your data governance program?
Leading organizations worldwide rely on erwin Data Intelligence by Quest to provide the data catalog, data literacy, data quality, data marketplace and automation capabilities needed to make data governance truly achievable. erwin Data Intelligence brings IT, data governance teams and business users together to discover, understand, govern and share data assets, so that enterprises know how to best use and protect their data to the greatest advantage.
erwin Data Intelligence provides the customizable governance framework and out-of-the-box glossaries and templates, backed by a knowledgeable team of experts, to help organizations quickly stand-up data governance programs. Market-leading data catalog automation capabilities for metadata-harvesting, data mapping, data lineage, impact analysis, data quality and sensitive data identification make full enterprise data visibility achievable. Data governance teams have the needed business glossary management and data stewardship automation to effectively assign business meaning to data and drive data governance forward. And all stakeholders have the self-service data discovery, literacy, marketplace and collaboration capabilities to truly be a part of a data-driven culture.