Data science and data governance programs are built on competing objectives. Compliance and privacy programs require increasingly strict limitations on who can use what data and why, due to increasing regulations on data while data scientists need access to as much data as possible, as quickly as possible to maximize the value of their analysis. Businesses are stuck in the middle and have no choice but to satisfy both demands.
Fortunately there is a solution to this conflict of interest, Automated Data Governance. Automated Data Governance introduces speed, agility, and precision into the process of applying rules on data.
Read Immuta’s white paper to learn how you can effectively run your analytics and data science programs while protecting sensitive data and preserving privacy.