Data Management (DM)
Defines, implements, and oversees strategies and activities for effective data management, optimizing operational efficiency by focusing on essential data processes that align with performance requirements. Robust data management necessitates active stakeholder involvement at any stage of data management maturity. This engagement is crucial to foster long-term commitment, ensure organizational alignment, and deliver measurable value to the business in line with shared, approved goals and priorities. Effective data management not only requires a deep understanding of metadata attributes and the purpose of each data item but also emphasizes the importance of managing data context alongside data values.
The data management function highlights the critical need to comprehensively scope, plan, and allocate resources for data management as a sustained, long-term effort. It calls for leadership to actively demonstrate the value of data management, encourages collaboration across multiple stakeholders, and ensures that data management roles and responsibilities are clearly defined and well understood.
