Data Governance: Ensuring Compliance and Quality in Analytics

Building Trust in Enterprise Datasets

Data analytics is only as reliable as the underlying data quality. Data governance defines who has access to records and how datasets are maintained.

Key Governance Steps

• Metadata Cataloging: Maintain clear definitions of all columns and tables in your warehouse.
• Access Control: Enforce role-based restrictions, ensuring only authorized employees view sensitive customer records.
• Quality Audits: Automate scripts to identify duplicate records, missing values, or format inconsistencies.

Governance programs ensure data remains accurate, audit-ready, and compliant with privacy laws.