In regulated industries such as finance, insurance, and health care, regulatory compliance can hamper the data discovery and analytic processes. Is it possible to enable data scientists to work within regulatory constraints while still performing exploratory discovery across a wide range of data assets? This session will explore:
- Appropriate ownership of data access and provisioning
- Security design principles focused on business context over system architectures
- A balanced approach to managing Risks and Controls
- Data Classification as an approach for enablement