excel-analysis

To automate Excel data analysis, ask Copilot to evaluate headers, data types, and key columns in your workbook tables or named ranges. The skill produces pivot-ready summaries and chart-ready outputs using Power Query for repeatable, auditable results.

Yes, Copilot can create decision-ready charts from Excel data for financial dashboards. The skill generates explicit pivots and charts with named dimensions, applying schema-first evaluation to ensure your KPI sheets and headcount reports produce reliable visualizations.

The best way to run variance checks in Excel is using Copilot to compare sources, identify inconsistencies, and surface variance drivers. The skill delivers narrative notes alongside reconciled data, applying Power Query to ensure auditable results for your financial reports.

Yes, you need an Excel workbook with tables or named ranges to analyze spreadsheets with Copilot. The skill relies on structured tabular data to perform schema-first evaluation, apply Power Query transformations, and generate reliable pivot-ready analyses.

Schema-first evaluation works by examining headers, data types, and key columns in your Excel workbook before generating summaries. This approach ensures Copilot produces reliable, pivot-ready analyses and chart-ready outputs without misinterpreting your tabular data structure.

A key limitation is that Copilot requires your Excel data to be in structured tables or named ranges; unstructured spreadsheets will not process correctly. The skill leverages standard Excel features and Power Query, so outputs depend on your workbook's existing data quality.