The Pillars of Traditional Data Governance

Data governance manages data availability, usability, consistency, security, and policy alignment within the enterprise data ecosystem.

Data Quality

Ensuring accuracy, completeness, reliability and validity of data for business usage through validation, monitoring and remediation processes.

DATA SECURITY

Safeguarding data from unauthorized access and breaches through controls like encryption and cybersecurity measures.

Metadata Management

Cataloging and documenting data context, meaning, structure, interrelationships and lineage across systems.

Data Policies

Establishing policies and standards aligned to regulations for data acquisition, storage, retention, usage, privacy and lifecycle management.

DATA ACCESS

Provisioning authenticated, policy-based access to enterprise data by various personas across lines of business.

DATA LIFECYCLE MANAGEMENT

Managing data from inception through usage till retirement across the data supply chain.