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Budget Deep Analysis

Data Analysis Updated 2026.08.30

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About this skill

Problem it addresses

Budget analysis often breaks when reports quote pre-filled totals, mix duplicate account names, treat monthly rate fields as annual rates, or compute growth rates for newly added items. This skill turns the path from raw Excel data to a verified Excel and Word report into a repeatable workflow, so every figure can be traced to a validated variable.

How it works

  • Structure recognition: distinguishes actual-data sheets from budget sheets and checks column layout before extraction.
  • Full extraction: pulls revenue, cost, gross profit, expense subtotals, expense details, headcount, and summary rows.
  • Cross-validation: flags material variances, traces them to driver accounts, and blocks unvalidated numbers from entering the report.
  • Output rules: produces an Excel workbook with color codes, ★ markers, and monthly trends, plus a structured Word report.

Boundaries

Best suited to finance workbooks with clear budget and actual structures. It does not resolve missing account definitions, disordered rows, or audit-grade evidence needs. It assumes sheet roles can be identified and that rates should be recomputed from totals.

Use Cases

  • During monthly reviews, reconcile prior-period operating Excel files with budget sheets and flag expense risks.
  • Before annual budget reviews, extract revenue, cost, gross profit, and expense details into comparison sheets.
  • When auditing expense anomalies, identify new, zeroed, and non-comparable account items with explanation columns.
  • When delivering reports, insert validated figures into fixed Word sections and mark abnormal monthly trends.

Best For

  • Finance analysts who need budget-versus-actual Excel checks and traceable reports.
  • Business analysts who need consistent expense breakdowns and monthly budget outputs.
  • Data operations staff who need rules for duplicate accounts and rate-field pitfalls.
  • Report writers who need structured Word drafts with flagged anomaly risks.