Compliance & Controls Testing Power BI Dashboard

Track regulatory obligations and audit findings with this professional Power BI dashboard featuring control testing and remediation KPIs.

This comprehensive dashboard provides an end-to-end view of organizational compliance and control effectiveness. The Overview page tracks regulatory obligations in the register, deadlines within the next 90 days, and real-time testing execution rates. It features detailed breakdowns of compliance status by major regulators such as SAMA, NCA, and ZATCA, allowing for granular tracking of attestation progress across different domains. The Executive Summary page shifts focus toward audit findings and remediation actions. It visualizes closure trends, repeat finding ratios, and aging analysis for overdue remediation tasks. By combining high-level KPI cards with detailed tables and trend lines, this template enables risk officers to identify systemic control failures and prioritize remediation efforts effectively.

What core metrics does this dashboard track?

The dashboard tracks compliance obligations, control test execution rates, failure rates, audit finding severity, and remediation timelines.

Can I filter the data by specific regulatory bodies?

Yes, the template includes a dedicated regulator filter to view compliance status for entities like SAMA, NCA, ZATCA, and others.

How many report pages are included in this template?

There are two main pages: the Overview page for obligation monitoring and the Executive Summary page for audit remediation analysis.

Does this template support year-over-year comparisons?

Yes, many KPI cards and charts include comparative data against last year (LY) figures to track performance trends over time.

What software is required to use this template?

This is a Power BI template and requires Microsoft Power BI Desktop or Service for visualization and data management.

Is the remediation aging data automated?

The dashboard visualizes aging data based on the due dates and close dates provided in your source data set.