Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...

Data management: The processes define how an organization’s data assets are created, stored, accessed, and used. They also establish the rules for how those assets will be shared with internal ...

Data Processing Management (CT.DM-P): Data are managed consistent with the organization’s risk strategy to protect individuals’ privacy, increase manageability, and enable the implementation ...

Forbes contributors publish independent expert analyses and insights. The path to enterprise AI maturity runs directly through data. However, constructing AI-ready data platforms is more than just ...

Data lifecycle management covers the processes, policies, and procedures to ensure data is effectively managed through its lifecycle. It describes how data flows through the enterprise and beyond.

InfoVerge says companies need clear data policies and standards, solid data governance and robust security protocols in place ...

Firms are considering data risk in their group risk appetite statements. Here's how to build three lines of defense for data management and data risk.

The framework, which is an extension of the ICO’s existing Accountability Framework, provides nine distinct toolkits for areas that are likely to be analyzed during a data protection audit. These are: ...

The Office of the Australian Information Commissioner (OAIC) and CSIRO's Data61 have published a framework that aims to assist organisations to de-identify data appropriately and put strategies in ...