Dictionary category: data management
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Data management

Data management is the process that involves the acquisition, verification, processing, storage, and protection of data necessary to ensure that users are given reliability, accessibility, and timeliness.

Data management platforms enable companies to leverage big data from all real-time sources, in order to interact more effectively with customers for the long term. Such management software is essential because we create and use data at an unprecedented rate. The top-level data management platforms give businesses a 360-degree view of their customers, as well as a deeper understanding of consumer behavior and key information needed to give the brand an competitive advantage.

The best data management practices lead to better analysis

By properly managing and preparing data, you can optimize more effectively. Some of the best practices for this kind of management, which organizations and companies should strive to achieve, include:

  • Simplify access to traditional and emerging data
  • Clear data to inject quality into existing business processes
  • Form data with flexible operational techniques

With the help of this management platform, organisations can collect, organise and store their information and then repackage it in a visual way, which is useful for marketers. The best-performing management platform manages all data from all sources in one central location, giving marketers and managers more accurate business and customer information.

Data management can be likened to the symphony orchestra that is composed of strings, brass, wind, and percussion instruments; each part of the orchestra has a clearly related instrument that creates music harmoniously. Data management is similar to symphony operation because several parts of related tools manage the data together.

Here we describe the main tools and processes and will be glad to explain any terms related to data management. Please send your questions to marketing@magora-systems.com and we’ll add the explanations in the very near future.

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