{"id":4473,"date":"2012-02-27T10:26:16","date_gmt":"2012-02-27T10:26:16","guid":{"rendered":"https:\/\/www.techopedia.com\/definition\/data-management\/"},"modified":"2024-11-18T12:12:37","modified_gmt":"2024-11-18T12:12:37","slug":"data-management","status":"publish","type":"definition","link":"https:\/\/www.techopedia.com\/definition\/data-management","title":{"rendered":"Data Management"},"content":{"rendered":"

What is Data Management?<\/span><\/h2>\n
Data management is the implementation of technologies, tools, and processes used to carry out data governance<\/a> policies. It involves the day-to-day operations of acquiring, storing, cleansing, integrating, analyzing, securing, and sharing data<\/a> to support organizational goals and meet regulatory compliance<\/a> requirements.<\/p>\n
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Key Takeaways<\/span><\/h2>\n
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Data management is the process of putting data governance policies into practice and ensuring data is handled effectively throughout its lifecycle.<\/li>\n
It is an ongoing process with its own structured stages, from creation to disposal.<\/li>\n
Effective data management strategies and tools enable stakeholders to easily access and use the data they need for informed decision-making.<\/li>\n
Different types of data management focus on various aspects of handling data, such as storage, integration, quality, and security.<\/li>\n
By combining data management tools and techniques, organizations can transform raw data into actionable insights that drive business goals.<\/li>\n<\/ul>\n<\/div><\/div>\n
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\n What is Data Management?<\/a>\n <\/div>\n <\/li>\n
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\n Key Takeaways<\/a>\n <\/div>\n <\/li>\n
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\n Why Data Management is Important<\/a>\n <\/div>\n <\/li>\n
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\n Data Management History and Evolution<\/a>\n <\/div>\n <\/li>\n
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\n How the Data Management Lifecycle Works<\/a>\n <\/div>\n <\/li>\n
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\n Big Data Management<\/a>\n <\/div>\n <\/li>\n
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\n 4 Types of Data Management<\/a>\n <\/div>\n <\/li>\n
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\n Key Elements of Data Management Processes<\/a>\n <\/div>\n <\/li>\n
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\n Data Management Tools and Techniques<\/a>\n <\/div>\n <\/li>\n
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\n 5 Best Practices for Data Management<\/a>\n <\/div>\n <\/li>\n
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\n Data Management Benefits and Challenges<\/a>\n <\/div>\n <\/li>\n
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\n The Bottom Line<\/a>\n <\/div>\n <\/li>\n
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\n FAQs<\/a>\n <\/div>\n <\/li>\n
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\n References<\/a>\n <\/div>\n <\/li>\n <\/ol>\n
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