CSD Consulting

Typical Principles of Data Governance

The Data Governance Guiding Principles come from the Data Governance Institute.

1. Integrity

Data Governance participants will practice integrity with their dealings with each other; they will be truthful and forthcoming when discussing drivers, constraints, options, and impacts for data-related decisions.

2. Transparency

Data Governance and Stewardship processes will exhibit transparency; it should be clear to all participants and auditors how and when data-related decisions and controls were introduced into the processes.

3. Auditability

Data-related decisions, processes, and controls subject to Data Governance will be auditable; they will be accompanied by documentation to support compliance-based and operational auditing requirements.

4. Accountability

Data Governance will define accountabilities for cross-functional data-related decisions, processes, and controls.

5. Stewardship

Data Governance will define accountabilities for stewardship activities that are the responsibilities of individual contributors, as well as accountabilities for groups of Data Stewards.

6. Checks-and-Balances

Data Governance will define accountabilities in a manner that introduces checks-and-balances between business and technology teams as well as between those who create/collect information, those who manage it, those who use it, and those who introduce standards and compliance requirements.

7. Standardisation

Data Governance will introduce and support standardization of enterprise data.

8. Change Management

Data Governance will support proactive and reactive Change Management activities for reference data values and the structure/use of master data and metadata.