What Is Data Management?

Data Management is the discipline that deals with the handling of data within an organization as an invaluable source of analysis and decision-making. It covers a broad range of processes that guarantee that all information is available when required and is reliable to drive action.

Effective Data Management enables organizations to make use of data as a strategic asset regardless of where it is in the enterprise, with better visibility, security and security, as well as capacity. It can provide quicker, more accurate, and more reliable analytics that give competitive advantages.

Organizations are faced with unprecedented amounts and types of data that can provide valuable insights into the dynamics of their business, but only if the data is supervised and trusted. A poor data management strategy can be costly and erode the trust of those who count on the data.

The increase in personal data sources has also brought about a new set of issues for ensuring compliance with consumer protection legislation like the GDPR and California Consumer Privacy Act. Data management processes help ensure that individuals remain informed at the time of data collection, have control over their information and are able to easily comply with the erasure requirements.

Data management requires a team of specialization and roles. They vary from data architects, database developers and analysts to data stewards. In larger companies the team is often comprised of quality engineers and data engineers who are working on data pipelines in order to support business analytics.

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This post was written by vladeta