BI Dashboards
Review dashboard-level exposure of personal and sensitive information.
Illustrative Case Study
A practical example showing how dashboards, reporting layers, warehouse access, and analytics consumption can be reviewed for privacy risk.
Last Updated: May 2026
Important note
This educational example demonstrates how privacy risks can emerge across dashboards, analytical marts, reporting environments, warehouse access, exports, and downstream analytics consumption.
The objective is to show how organizations can begin operationalizing privacy governance inside analytics ecosystems.
Analytics environment
Consider an organization operating multiple dashboards for sales, operations, product analytics, marketing, executive reporting, and customer success.
Over time, dashboards begin exposing increasingly detailed customer-level information, often without consistent governance around purpose, minimization, masking, retention, or access.
Potential analytics risks
Assessment areas
Review dashboard-level exposure of personal and sensitive information.
Assess whether analysts and business users have excessive warehouse permissions.
Review whether marts unnecessarily duplicate customer-level data.
Assess governance around CSV exports, shared reports, and downloaded data.
Review whether reporting systems reflect consent and communication preferences.
Evaluate whether leadership reports contain more personal detail than necessary.
Governance roadmap
Recommended controls
Remove direct identifiers unless operationally necessary.
Provide aggregated and masked views for broader business audiences.
Restrict warehouse and dashboard access according to business purpose.
Ensure marketing and analytics reporting reflects consent state changes.
Monitor report downloads, exports, and external sharing behavior.
Apply deletion and archival policies consistently across marts and reporting environments.