Data Asset Management

Successful adoption of Data as a Service (DaaS) is based on three factors: the quality of data and content, underlying architectural principles used for management, and real-world experiences of how to distribute them to consumers in an effective manner. This chapter provides a detailed overview of the major categories of data that can be considered significant and shared across the enterprise including master data, reference data, analytical data, and big data. Data asset management (DAM) ensures that all of an organization's data content gets treated as corporate assets with tangible value. The chapter discusses how often most organizations lack a standard information delivery system in relation to sharing enterprise data. The implementation of DAM is most effective within an organization when they support enterprise information management (EIM) policies that aim to improve data quality and governance.