Automated Data Access Control 101
Data science and data governance programs are inherently at odds. Data scientists need access to as much data as possible, as quickly as possible; data governance teams, on the other hand, must be able to ensure that only the right people are accessing the right data for the right purposes. Organizations are caught in the middle, with a responsibility to satisfy both needs. The question is – how?
Data access control is the solution that maximizes data’s privacy and utility. In this white paper, you’ll learn:
- The distinction between data governance and data access control
- Why passive access control models are no longer efficient or effective as cloud platform adoption accelerates
- The five pillars of a modern automated data access control model
- How organizations across industries are successfully meeting their data governance and analysis needs with automated data access control