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- Creating, collecting, storing, maintaining, securing, archiving, destroyingData management is the process of creating, collecting, storing, maintaining, securing, archiving, destroying and, most importantly, using data to bring value to a business. Most businesses create and collect an astronomical amount of data so they require quality data management to maintain and use the data in its lifecycle.
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What Is Data Management? (Definition, How-To Guide) | Built In
Learn what data management is, why it is important, and how to develop a data management model. Explore 11 areas of data management knowledge, such as data governance, data security, data integration, and data quality. See more
Merely accumulating data will not bring value to a business. Without a proper data management process, organizations can’t make use of high-quality data to make data-informed decisions. As a result, an organization will fail to compete in their respective … See more
The Data Management Association (DAMA International) has developed the Data Management Body of Knowledge (the DMBoK), which outlines the entire scope of data management. According to DMBoK, data management covers 11 separate knowledge … See more
Business growth brings a lot of data challenges such as data quality, accessibility, data redundancy, contradictory insights, security, scalability and so on. In other words, in the absence of proper data management, businesses will struggle to grow … See more
While, according to DMBoK there are 11 areas to consider when it comes to data management, you need to understand your business strategy first and prioritize the data … See more
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