Enterprise data architects are facing a triad of challenges in the current state of analytics due to the shift to cloud data platforms, the need to support varied workloads across BI and data science, and the growth of sensitive data being collected for analysis from increasingly digital channels. Amid all of these changes, how are they supposed to keep up with manual and legacy approaches to secure data collaboration?
This might be why 49% of survey respondents reported feeling overwhelmed by the number of data policies they need to manage, and 39% felt burnt out and ready to change jobs.
This solution brief explores the top 3 challenges cited by enterprise data architects, including:
- Reliance on manual steps to provision data for users
- Inability to get necessary auditing detail for data use
- Lack of data security to migrate or consolidate cloud analytics
But it doesn’t have to be that way. In the brief, you’ll learn how a data security platform makes life easier for enterprise data architects by securing and governing access control across cloud data platforms.