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Example workflow · Spreadsheet analysis

Turn sales records into an operating workbook and dashboard

This example shows how to clean inconsistent spreadsheets, preserve transformation rules, verify key metrics, and deliver an editable workbook and interactive dashboard.

This product example uses simulated sales data and contains no company data.
Sales analysisJan–Mar
Revenue
$842k
+12.4%
Margin
38.6%
+2.1%
Refunds
2.8%
−0.6%
Revenue by region
RegionRevenueMarginStatus
East268k40.2%OK
South211k34.8%!
The request
Combine January through March sales files, standardize region and product names, calculate revenue, margin, order value, and month-over-month change, flag unusual refunds, and create a filterable executive dashboard.

Source material

sales-jan.xlsx
January order and refund records
sales-feb.xlsx
February data with region aliases
sales-mar.csv
March export with different date and amount formats

What the agent did

  1. 1

    Inspect data quality

    Identify duplicate orders, missing values, types, and naming differences.

  2. 2

    Define cleaning rules

    Standardize region, product, date, and refund state and save mappings.

  3. 3

    Calculate and balance

    Generate metrics and reconcile them against monthly source totals.

  4. 4

    Create deliverables

    Output an editable workbook, exception list, and filterable dashboard.

Result

Metrics remain traceable to cleaning rules and source records

The workbook preserves formulas, details, and mappings; the dashboard supports scanning, while the exception list identifies records needing review.

sales-analysis.xlsx

Cleaned data, formulas, summaries, and charts

dashboard.html

A dashboard filtered by month, region, and product

exceptions.csv

Duplicate, missing, and unusual refund records

data-method.md

Metric definitions, mappings, and reconciliation results

What this example demonstrates

Metric definitions matter more than chart design at the start.
Cleaning rules and mappings should remain deliverables, not disappear inside one run.
Dashboards support scanning, while important numbers still need workbook-level traceability.
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