Research shows that 92% of organizations are subject to one or more data use rules and regulations. Among the most prominent is the California Consumer Privacy Act (CCPA). In November 2020, just over two years after the CCPA initially went into effect, California’s electorate voted to amend it.
Now known as the California Privacy Rights Act (CPRA), this amendment builds upon the CCPA and brings regulatory requirements — and the punishments for violating them — closer to the GDPR. The changes have critical implications for organizations that use sensitive data. So, what do data teams need to do to strengthen their compliant data protection measures and live up to the CPRA’s standards?
In this white paper, you’ll learn:
- The specific updates in the CPRA and how they differ from the CCPA
- How to leverage automated data governance to achieve CPRA compliance within data science environments
- How to use self-executing policies to meet the CPRA’s privacy and consumer rights requirements
- How to use smart reporting to improve the quality of data monitoring and auditing