Data management is a major challenge for today’s organizations. The exponential growth of data, the increasing complexity of IT environments, and the rising popularity of artificial intelligence have made it essential to implement data governance strategies. This is where the DAMA DMBOK2 data management framework comes in. DMBOK2 presents a comprehensive approach for effective data management.

DAMA (Data Management Association) International is a non-profit international organization whose mission is to promote best practices in data management. The DMBOK2 (Data Management Body of Knowledge) is the reference framework developed by DAMA, which provides a comprehensive and structured approach to managing data effectively.

The DMBOK2 is composed of six main domains of data management, each representing an essential aspect of data governance:

1. Data and expertise management: this domain concerns defining roles and responsibilities related to data management, as well as developing skills and training staff responsible for data management;

2. Enterprise data management: this domain aims to align data management with the company’s strategic objectives. It encompasses data governance, strategic planning, policy development, and data risk management.

3. Operational data management: this domain focuses on day-to-day data management activities, such as data collection, entry, validation, storage, and integration. It also includes data quality and metadata management.

4. Information and knowledge management: this domain concerns the creation, classification, management, and dissemination of information and knowledge within the organization. This includes document management, knowledge bases, and information repositories.

5. Data security management: this domain addresses aspects related to data protection, such as data confidentiality, integrity, and availability. It also includes access and authorization management, as well as compliance with data protection regulations.

6. Data technology management: this final domain focuses on the technical aspects of data management, such as the tools, technologies, and architectures necessary for effective data management. It also encompasses infrastructure, database, and information system management.

Each domain of DMBOK2 is detailed in the reference framework, providing practical guidelines and best practices for every aspect of data management. By following this framework, organizations can establish solid data governance, aligned with their strategic objectives, and ensure efficient and secure use of their data resources. The following diagram presents the knowledge areas of DMBOK 2.

In conclusion, by implementing the principles and practices recommended in DMBOK2, organizations can improve their data governance, strengthen regulatory compliance, optimize their operational processes, and fully exploit the value of their data. This framework is not a religion… It is essential to adapt this framework to the context of your organization and deploy the most critical elements according to the maturity level and priorities of your organization.

Our CIOs can assist you in deploying what is strictly necessary according to the context of your organization. See our Data Governance Services page