Resources • Data Governance • Data Quality
Data Governance Best Practices
Sustainable data quality requires more than data cleansing. Effective governance establishes ownership, accountability, standards and controls that maintain trusted information throughout the asset lifecycle.
What Is Data Governance?
Data governance is the framework of policies, responsibilities, standards and controls that guide how information is created, maintained and managed.
Within asset-intensive organisations, governance helps ensure asset, maintenance and material data remains accurate, consistent and trusted.
Key Governance Principles
Data Ownership & Stewardship
One of the most common causes of poor data quality is a lack of clearly defined ownership. Governance frameworks should identify who owns the data, who maintains the data and who is responsible for quality outcomes.
Effective stewardship ensures standards are followed and quality issues are identified before they impact operations.
Governance Supports Long-Term Quality
Data cleansing can improve information quality in the short term, however governance provides the controls required to prevent the same issues from returning.
Sustainable data quality depends upon standards, ownership, stewardship and ongoing monitoring.