Data Management Strategy discusses the elements of a sound data strategy, why it is important, how to organize and the components for implementation.
Data Management Business Case and Funding Model addresses the justification for the investment and the importance of engaging senior executives and key stakeholders.
Data Management Program discusses what’s organizationally needed to stand up a sustainable Data Management Program.
Data Governance defines the operating model, the establishment of a control environment and the importance of policies and standards as the mechanism for alignment among stakeholders.
Data Architecture focuses on the core concepts of “data meaning” – how data is defined, described and related (data domains, metadata, CDE, taxonomies and ontology)
Data Quality refers to the concept of fit-for-purpose data and the processes associated with the establishment of both data control and data supply chain management.
Technology Architecture focuses on the relationship of data with the physical IT infrastructure needed for operational deployment.
Data Control Environment defines the data lifecycle process and how data content management is integrated into the overall organizational ecosystem.
Data enters a bank and connects people as it flows through the bank. For this reason anyone creating data, impacting quality or using it to take decisions needs DCAM
