Data Management is the discipline that manages the handling of data within an organization as an important resource for analysis and decision making. It covers a broad array of procedures that ensure all information can be accessed when needed, and that it can be used to drive decisions.
Effective Data Management allows organizations to utilize their data as an important resource regardless of where it is within the company. It gives better security, reliability and visibility, while also allowing for scalability. It can provide faster, more accurate, and more reliable analytics, which can provide competitive advantages.
Data is an asset for companies however, only when it’s managed and trusted. Ineffective data management can be costly and undermines the trust of those who rely on it.
The proliferation of personal data sources has brought about a new set of challenges for compliance with consumer protection legislation such as the GDPR and California Consumer Privacy Act. Data management processes can assist to ensure that people are notified at the time of data collection, that they retain control over their own data and that the systems are able to meet erasure and transferability requirements.
The management of your data requires an expert team with different roles and skills such as data architects and stewards, to analysts and developers of databases. In larger companies it is common for the team to include experts in data engineering and quality who are working on data pipelines in order to support business analytics.
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