Introduction In today's data-driven business environment, organizations generate enormous amounts of information every day. From sales and customer transactions to financial performance and operationa
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Charlie from xSquads
The biggest thing I've found with Copilot in Power BI is that vague questions get vague answers, so it helps to be specific. A pattern that works: name the measure, the time window and the comparison, e.g. "Show total revenue by region for the last 3 full months versus the same period last year, and flag any region down more than 10%." A few habits that make it more useful: 1) Clean up your semantic model first. Give columns and measures plain-English names and add short descriptions, because Copilot leans on those. 2) Add synonyms for terms your team actually uses ("bookings" vs "sales"). 3) Ask for the summary and the visual separately, then sanity-check the numbers against a report you already trust before sharing. 4) Save the prompts that work in a shared doc so the rest of the team can reuse them. Curious whether you've seen it struggle more with messy data models or with ambiguous questions?