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Highlights

The primary goal for Data Governance platforms is to classify and protect files and other data sources in line with organizations policies and goals.

These tools can manage access requests, approvals, certification, and analysis of the entitlements at a more granular level. The picture is complicated today by the profusion of data repositories, in the cloud, on end points and on-premises - and the growth of applications available to access and share it across different users.

Data Governance allows building standard access request and approval processes for the fine-grained entitlement management below the level that is covered by typical Access Governance solutions.

The protection of sensitive customer data has become a critical issue of our time, especially for organizations that collect, process, and store PII (Personally Identifiable Information). Privacy laws, regulations, and initiatives are proliferating to address the growing concerns over the use and control of personal data. The European Union's General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA) are good examples that will punish organizations for poor Data Governance that results in data loss or privacy incursions.

  • The capabilities and use cases to consider when considering Data Governance platforms.
  • Why digital transformation, cloud and collaboration has made the governance of unstructured data essential.
  • How Data Governance can assist organizations in meeting compliance regulations and to reduce the number of data breaches.
  • Why creating business value from unstructured data has taken on a new importance for organizations of all sizes in the new competitive landscape.
  • How Data Governance architectures are now being assisted by AI and machine learning tools in new platforms.