Excel and Power Query for Better and Faster Audit Testing

📋 Overview

Many auditors spend hours on manual data manipulation that could be handled in seconds. This session focuses on using Power Query to build automated testing templates that don't break when new data arrives. The firm will see how to transform raw accounting exports into clean, testable datasets for journal entry testing and gap analysis. The instructors walk through the mechanics of a three-way match and Benford’s Law analysis, showing how to document these steps so the logic is transparent for reviewers. By the end of the block, attendees will understand how to create a refreshable audit workpaper that maintains integrity and provides better evidence than traditional manual methods.

👥 Who Should Attend

Audit practitioners and data analysts who want to move beyond manual sampling and build repeatable, automated testing workflows within their existing spreadsheet software.

🎯 Learning Objectives

• Construct a refreshable data transformation pipeline in Power Query to automate repetitive audit testing procedures.
• Apply Benford's Law and stratification techniques to identify high-risk transactions within large financial datasets.
• Execute automated three-way matches and gap analyses using merged queries to detect control failures.
• Implement documentation standards within Excel to ensure automated queries meet professional evidence and review requirements.

🚀 What You'll Walk Away With

• You'll build testing templates that update instantly when you drop in new data.
• You'll stop doing manual data cleanup for every journal entry test.
• You'll use Benford's Law to spot high-risk transactions automatically.
• You'll turn raw accounting or ERP exports into clean, testable datasets without broken formulas.
• You'll document your logic so reviewers can follow your work easily.

📚 Major Topics

1. Connecting to and transforming ERP data exports
2. Automating journal entry testing for completeness and accuracy
3. Building duplicate and gap analysis queries
4. Statistical testing and audit analytics in Excel
5. Performing multi-source reconciliations with the three-way match
6. Documenting query steps for audit file compliance
7. Creating reusable templates for year-over-year efficiency

🏷️ Topics

❓ Questions

✍️ A Note from the Author

I watched my team struggle through the same manual data cleanup every busy season until I realized we were solving the wrong problem. We don't need faster fingers, we need better systems that remember our steps for us. I wrote this for the auditor who's tired of fixing the same messy spreadsheet every single quarter.