La governance data (data governance, is the set of rules, processes, roles and technologies put in place to ensure the effective management, quality, security and compliance of data in an organisation.
1. Data governance frameworks and reference systems
There are several methodological frameworks for implementing structured and effective data governance:
1.1 DAMA-DMBOK (Data Management Body of Knowledge)
👉 Standard repository for data management, developed by DAMA International.
It covers the following 11 disciplines
- Data governance
- Metadata management
- Data quality
- Data security
- Data architecture
- Master Data Management (MDM)
- Data storage and management
- Business Intelligence & Analytics
- Content and document management
- Data integration and interoperability
- Big Data management
1.2 COBIT (Control Objectives for Information and Related Technologies)
👉 IT governance framework that includes data governance within a broader approach to information systems management.
It helps companies align their data with business objectives and risk management.
1.3 DCAM (Data Capability Assessment Model)
👉 Developed by EDM CouncilThis model assesses an organisation's data governance capabilities and suggests best practices.
1.4 CMMI Data Management Maturity (DMM)
👉 Assesses data management maturity and suggests progressive levels of improvement.
2. Data governance standards and regulations
Several standards and regulations define data quality, security and compliance requirements.
2.1 International standards
🔹 ISO 8000 - Data quality standard.
🔹 ISO/IEC 38505 - Extension of the IT governance standard to data governance.
🔹 ISO/IEC 27001 - Standard on information security, including data protection.
🔹 ISO/IEC 25012 - Data quality model defining 15 quality criteria.
2.2 Data protection regulations
🔹 RGPD (General Data Protection Regulation - EU) - Reference framework for the protection of personal data in Europe.
🔹 CCPA (California Consumer Privacy Act - USA) - Regulations similar to the RGPD for Californian residents.
🔹 HIPAA (Health Insurance Portability and Accountability Act - USA) - Standard on the protection of health data.
🔹 PIPEDA (Personal Information Protection and Electronic Documents Act - Canada) - Canadian Personal Data Protection Act.
3. Importance of data governance frameworks and standards
✅ Ensuring legal compliance in compliance with current regulations.
✅ Guaranteeing data quality by following established guidelines.
✅ Facilitating interoperability and data exchange thanks to universal standards.
✅ Reinforcing data security by adopting good cyber security practices.
✅ Optimising decision-making with reliable, usable data.
