This post has been republished via RSS; it originally appeared at: Healthcare and Life Sciences Blog articles.
Leveraging data for Analytics, Reporting, and self-service Business Intelligence can provide great value to an organization. Most large organizations (especially those in Regulated Industries) also need to ensure that Sensitive Data such as PHI, PII, PIFI, Company IP, and Company Financials are properly managed and controlled. With Microsoft Power BI and some thoughtful planning, organizations can scale out an Analytics, Reporting and self-service Business Intelligence platform that ensures Security and Compliance for Sensitive Data.
Below is a recorded version of a presentation reviewing considerations and best practices for planning a secure and scalable Power BI Enterprise Architecture with Sensitive Data at the core. Topics include:
- Securing Power BI Tools such as Power BI Desktop and Gateways
- Planning Azure Active Directory (AAD) based authentication and Workspace Architectures
- Row Level Security (RLS) and Object Level Security (OLS)
- Microsoft Information Protection (MIP)
- Microsoft Cloud App Security (MCAS)
- vNets / Private Links
- Azure Data Lake integration