Data Management is a field that focuses on the management of an organization’s information as a tool of analysis and decision-making. It encompasses a wide range of processes that ensures that all information is available when required and is reliable to drive the actions.
Effective Data Management enables organizations to make use of data as a strategic asset regardless of where it resides in the enterprise, with better visibility, security and security. It also enables scalability. It helps to provide faster, more accurate, and more reliable analytics that can give you a competitive advantages.
Organizations are faced with unprecedented amounts and types of data that could provide invaluable new insights into business’s performance but only if data is managed and trusted. Ineffective data management can be costly, and it can undermine the confidence of those who depend on the data.
In addition, the proliferation of new sources of personal information has created a whole new set of issues related to compliance with consumer protection laws, including GDPR and the California Consumer Privacy Act (CCPA). Data management processes help ensure that individuals are aware of data collection, retain the control over their personal data and can easily meet erasure requirements.
Data management requires a team of specific skills and responsibilities. They are a range of roles from data architects to analysts and database developers to data stewards. In larger organizations, the team often includes quality and data engineers who are working on data pipelines in order to support business analytics.
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