The need for data governance is universally accepted, but organizations often struggle to understand how this translates into roles and responsibilities that can be realistically fulfilled.

All too often, organizations get as far as identifying data owners, but find it difficult to describe exactly what the data owners need to do to achieve adequate data governance.

At Data Clan, we understand this challenge and have developed an achievable and robust data governance framework that we use to help our clients.

The framework is grounded in best practice from the Data Management Association (DAMA), and focusses on two drivers:

Reducing Risk

  • Oversight of the risks that data poses to finances or reputation, including response to legal (E-Discovery) and regulatory issues.
  • Protection of data assets through controls for the availability, usability, integrity, consistency, auditability and security of data.

Improving Processes

  • The ability to respond efficiently and consistently to regulatory requirements.
  • The ability to contribute to improved business performance by making data more reliable (improving data quality).
  • Establishing a business glossary to define and locate data in the organization and wider metadata management.

Working in concert with our Data Management Maturity Assessment, the framework positions data governance in the context of more than a dozen other aspects of data management, and describes a menu of ten discrete roles that an organization may need to consider, from executives to the supply chain.