An Agile Approach to Unleashing Data Value by Reducing Risk Exposure and Increasing Trust
Traditional, manual, and isolated silo approaches to data privacy management are sinking under a perfect storm of constant regulatory change, accelerating speed of data volumes and proliferation, and increasing demands for greater transparency. Consumer concerns over personal information abuse is rising along with demands for accountability and data protection.
That’s more than a compliance issue. It’s a business risk that blocks adoption of cloud platforms, limits your ability to democratize data for citizen analysts, negatively impacts customer experience and brand loyalty, and more.
Download your copy of “Six Steps to Intelligent Data Privacy” to learn how to implement a continuous, holistic process to operationalize data privacy that adapts to shifting priorities, evolving regulations, and new privacy risks:
- Enable transparency into data use with discovery and classification that maps data to identities for data subject reporting
- Automating analytics to model and evaluate priorities across data stores, locations and proliferation that help inform data stewards for setting policies on appropriate data use
- Orchestrating tools for risk remediation, including data protection, data subject and incident response reporting, and compliance and risk monitoring