Edition 4z: Data Management - Conclusion

Edition 4z: Data Management - Conclusion

Conclusion

??????????? Organizations recognize the importance of data as an enterprise asset, providing insights about customers, products, and services. However, few actively manage data to derive ongoing value from it. Data management involves developing, executing, and supervising plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles. A Data Management Professional is someone who works in any facet of data management, from technical management of data throughout its lifecycle to ensuring proper utilization and leverage of data to meet strategic organizational goals.

???????????Data management activities range from consistent decisions on how to derive strategic value from data to the technical deployment and performance of databases. Both technical and non-technical skills are required for data management. Responsibility for managing data must be shared between business and information technology roles, and collaboration is essential to ensure high-quality data that meets strategic needs.

????????????Data and information are not just assets; they are vital to day-to-day operations of most organizations. They have been called the "currency," "life blood," and "new oil" of the information economy. DAMA International has produced the second edition of The DAMA Guide to the Data Management Body of Knowledge (DMBOK2) to support data management professionals. This edition outlines principles for data management, discusses challenges related to following those principles, and provides the context for work carried out by data management professionals within various Data Management Knowledge Areas.

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