Spot trends and anomalies with the Analyst agent
Hand a spreadsheet to Copilot's Analyst agent and have it reason through the data step by step to find what's unusual.
One region is reporting impossible margins.
Find the 5 transactions responsible for the data skew.
| TransactionID | Product | Region | Revenue | Cost | MarginPct |
|---|---|---|---|---|---|
| TX-1014 | Premium Support Contract | West | 4739 | 4170 | 12 |
| TX-1009 | Premium Support Contract | West | 3939 | 3309 | 16 |
| TX-1040 | Standard License | West | 1673 | 1221 | 27 |
| TX-1038 | Standard License | West | 4409 | 3483 | 21 |
| TX-1057 | Training Bundle | West | 2200 | 1452 | 34 |
Prompt idea:
This region's transactions show margins far outside our usual range for this product line. Given the sample rows below, what data-entry patterns (decimal errors, duplicated discounts, wrong unit price) would produce this kind of skew, and how would you flag them in Excel?
Which product line do all 5 anomalous transactions belong to?
Sort by MarginPct descending — the anomalies cluster at the very top.
The solution files contain the completed challenge. Review the approach to see if you missed any edge cases.
Hand a spreadsheet to Copilot's Analyst agent and have it reason through the data step by step to find what's unusual.
Merge cost and revenue data to find hidden margin drains.
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