✦ AI Use Case

Self-Service Financial Analytics Platform
Governed Power BI with Natural Language Q&A

How a certified semantic model and Copilot in Power BI eliminated a 3–4 week IT reporting backlog, empowering finance analysts to answer their own questions in plain English.

🏚 Industry: Finance
🛠 Tools: Power BI, Copilot, DAX, SQL Server, Power Query, Row-Level Security
Impact: IT backlog reduced to zero

Business Problem

Scenario: IT-Dependent Reporting Backlog

Finance analysts had to submit an IT ticket for every custom report or analysis. This created a 3–4 week backlog, slowed decision-making, and frustrated both finance and IT teams. Analysts had strong analytical skills but no direct, governed access to reliable data.

AI-Powered Approach

Step 1 — Certified Semantic Model

Built a robust, certified Power BI semantic model on top of the financial data warehouse containing all key DAX measures, KPIs, and business logic — becoming the single source of truth for all financial reporting.

Step 2 — Row-Level Security

Implemented dynamic row-level security using Azure Active Directory groups so each department sees only their own data while executives retain full visibility — enforced automatically at query time.

Step 3 — Natural Language Q&A with Copilot

Enabled Copilot in Power BI with finance-specific synonyms and definitions, allowing analysts to ask questions in plain English (e.g., “Show Q3 variance by cost center”) and instantly receive accurate visuals and insights.

Step 4 — Governed Self-Service Workspace

Deployed a governed Power BI workspace where finance users can build their own reports using the certified model. IT reviews and certifies high-impact reports for broader distribution.

Step 5 — Targeted Training & Support

Delivered hands-on training sessions for the finance team on self-service report building, DAX fundamentals, and effective use of Copilot Q&A, supported by ongoing office hours and a dedicated Teams channel.

Key Outcome: Finance now self-serves 90% of analytical needs while maintaining full governance and consistency across all reports.

Measured Outcomes

Zero
IT reporting backlog
90%
Of analytical requests now self-served
3–4 Weeks
Average report wait time eliminated
60%
Reduction in IT time spent on one-off reports