In this practical, informative white paper, you’ll learn:
- – Data analytics and controls and risks associated with it
- – Model governance, derived data, automated decisions and security analytics
- – Data encryption pros, cons and emerging techniques
- – Best practices for classifying information
- – Where data science and data analytics are beginning to overlap
- – Recommendations for big data policies and procedures