From the course: Microsoft Copilot Essentials by Microsoft Press

Exploratory analysis workflows - Microsoft Copilot Tutorial

From the course: Microsoft Copilot Essentials by Microsoft Press

Exploratory analysis workflows

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Individual queries are useful, but the real power comes from building repeatable patterns. This learning objective helps you develop a consistent workflow, from quick data checks to deeper analysis loops, so you can approach any new dataset with confidence. The real power of Copilot and Excel isn't any single feature. It's building workflows you can repeat every time you face a new dataset. Here's a pattern that works. Start with a quick data check. Summarize this dataset. Before diving into analysis, ask Copilot for an overview. How many rows? What are the data types? Any obvious gaps? Then move on to targeted questions. Show outliers in column D. Once you understand the shape of your data, start probing specific areas. often tell you more than averages. Ask for comparisons. How does this month compare to last? Comparative analysis is where insights live. Copilot excels at generating variance reports and trendlines. Request visualizations. Create a chart showing distribution. Sometimes you need to see the shape of your data, not just the numbers. Ask for histograms, box plots, or scatter charts. Update your prompts so you can reuse them next time. Keep a simple text file with prompts that worked well. Next quarter, you copy the prompt, update the date range, and get consistent results. Copilot is powerful, but it's not magic. Understanding where it can go wrong helps you use it more effectively and avoid embarrassing mistakes. Copilot can misinterpret ambiguous headers or messy data. If your column header says Q3, but Copilot thinks it's a product name, your analysis will be wrong. Clean, descriptive headers prevent confusion. Large datasets may take longer. Be patient with agent mode. Agent mode iterates until results are verified, which means complex requests can take a minute or two. Let it finish. Don't assume Copilot's first answer is correct or complete. The first response is often a starting point, not the final answer. Create copilot outputs as drafts that need your review. Verify any formula before using it in financial or compliance work. If the formula affects budget decisions or regulatory filings, manually verify it. Use EXPLAIN FORMULA to understand the logic. Keep sensitive data inside your organizational data boundaries. Copilot in Excel for Enterprise respects your tenant's security policies. Don't paste sensitive data into consumer tools. Pro Tip! Adventureworks learned this the hard way when an analyst accepted a copilot-generated SUMIF without checking. Now they require every copilot formula to be reviewed by a second analyst before publication.

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