Data Management is a subject that deals with the management of information in an organization as a valuable tool for analysis and decision-making. It encompasses a variety of procedures that ensure that all information is available at any time and can be trusted to drive action.

Effective Data Management enables organizations to make use of data as a strategic asset, regardless of where it’s located within the enterprise, and with greater visibility, reliability and security. It also enables scaling. It helps speed up, more accurate and reliable analytics that provide competitive advantage.

Data is an asset for companies but only if it is properly managed and trusted. Poor data management can be costly and erode the trust of those who rely on the data.

In addition, the growth of new sources of personal information has brought a whole new set if challenges for compliance with consumer protection laws, including GDPR and the California Consumer Privacy Act (CCPA). Data management processes help ensure that individuals are informed at the time of data collection, retain control over their information and can easily meet erasure requirements.

Data management requires a team with specific skills and roles. These vary from data architects, analysts and database developers to data stewards. In larger organizations it is common for the team to include experts in data engineering and quality who are working on data pipelines to support business analytics.

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