Data Management is the field that handles the handling of an organization’s data as a valuable source of analysis and decision making. It covers a broad array of procedures that ensure every piece of information is accessible whenever needed, and that it can drive decisions.
Effective Data Management allows organizations to utilize their data as a strategic resource, regardless of its location within the organization. It gives better security, reliability and visibility, while also allowing for the possibility of scaling. It facilitates faster more precise, more precise and more trustworthy analytics that deliver competitive advantages.
Data is an asset for organizations, but only when it’s properly managed and backed by trust. A poor data management strategy is costly and can erode the trust of people who rely on it.
In addition, the proliferation of new personal data sources has brought a whole new set of challenges to compliance with consumer protection laws such as GDPR and the California Consumer Privacy Act (CCPA). Data management procedures can help to ensure that people are aware at the point of the collection of data and that they are in control over their own personal data and that the systems are able to meet erasure and portability requirements.
Managing your data requires an expert team who have distinct expertise and roles that range from data architects and stewards, to analysts and database developers. In larger companies, data engineers and quality specialists who manage pipelines for data analytics are usually part of the team.
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