The Data Management Body of Knowledge (DMBOK) is a comprehensive framework and guide for managing data as a critical enterprise asset. It was developed by the Data Management Association (DAMA) International, and the second version, DMBOK2, was published in 2017. DMBOK2 is an updated and expanded version of the first edition, published in 2009, and includes several new chapters and revisions to existing chapters.
What is the DMBOK?
The DMBOK2 framework covers ten knowledge areas, each of which is critical to effective data management. These knowledge areas are:
- Data Governance: This knowledge area covers the overall management of data within an organization, including the development of policies and procedures for data management, the establishment of data standards, and the monitoring of data quality.
- Data Architecture: This knowledge area covers the design and management of data structures and systems within an organization, including the development of data models and the selection of database management systems.
- Data Modeling and Design: This knowledge area covers the process of creating data models, including the identification of data entities, attributes, and relationships.
- Data Storage and Operations: This knowledge area covers the management of data storage and processing systems, including the selection of hardware and software solutions and the development of backup and recovery procedures.
- Data Security: This knowledge area covers the protection of data from unauthorized access, use, disclosure, and destruction.
- Data Integration and Interoperability: This knowledge area covers the process of integrating data from disparate sources and ensuring that data can be shared and used across systems.
- Data Quality: This knowledge area covers the process of ensuring that data is accurate, complete, consistent, and timely.
- Master Data Management: This knowledge area covers the management of critical data elements across an organization, including the development of master data models and the establishment of data governance policies.
- Data Warehousing and Business Intelligence: This knowledge area covers the design, development, and management of data warehousing and business intelligence systems, including the selection of data analysis tools and the development of reporting and analysis processes.
- Reference and Master Data: This knowledge area covers the management of reference data, which is data that is used to categorize, classify, or describe other data.
What is the DMBOK2?
DMBOK2 also includes several new chapters that were not included in the first edition, such as chapters on big data, data ethics, and data privacy. These new chapters reflect the changing landscape of data management and the increasing importance of ethical considerations and data privacy in the field.
In addition to the ten knowledge areas and new chapters, DMBOK2 includes several other features that make it a valuable resource for data management professionals. For example, the framework includes a glossary of key terms, a set of data management principles, and a maturity model that organizations can use to assess their data management practices.
DMBOK2 is a valuable resource for organizations seeking to improve their data management practices and ensure that data is properly managed and used to achieve business goals. It is used by data management professionals, consultants, and academics around the world as a guide for developing and implementing effective data management strategies.
Final Thoughts
In conclusion, the Data Management Body of Knowledge (DMBOK) framework is a comprehensive guide for managing data as a critical enterprise asset. The latest version, DMBOK2, covers ten knowledge areas and includes several new chapters that reflect the changing landscape of data management. DMBOK2 is a valuable resource for organizations seeking to improve their data management practices and achieve their business goals.
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