Data Governance is the process of managing data to ensure it is clean, available, secure, and effectively utilized, supporting both defensive (compliance, security, risk management) and offensive (analytics, decision-making) strategies.

It addresses challenges like data silos, regulatory compliance (e.g., GDPR, CCPA), and improving trust in data for business users, analysts, and compliance teams. Examples include ensuring accurate data for fraud detection in fintech or customer analytics in business strategy

• Organize data for easy access by stakeholders (e.g., analysts for analytics, business users for decisions).

• Use AI for classification and anomaly detection to ensure privacy and quality.

• Align governance with digital transformation pace, starting small and scaling.

• Foster cross-team involvement, including IT for encryption and security.

• Measure success with KPIs like data quality improvements and compliance rates.​