Pricing

Data Cleaning

“Clean, structured, and accurate data prepared for reliable reporting, analysis, and decision-making.”

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•  Define objective — know what problem the cleaned data must solve.
•  Inspect raw data — quick scan: columns, types, sample rows, missing patterns.
•  Create a copy — always work on a copy; keep original intact
• Standardize formats — dates, numbers, text casing, units.

Remove duplicates — identify exact and near-duplicates, then dedupe carefully.

Handle missing values — drop, fill (mean/median/mode), or flag, based on context.

Correct data types — convert strings to dates, numbers, booleans as needed.

Fix inconsistent entries — normalize categories, spellings, abbreviations.

Validate ranges & rules — check min/max, outliers, foreign-key integrity.

Address outliers — investigate, transform, cap, or remove with justification.Derive useful columns — create calculated fields, flags, or buckets.

Document changes — log transformations, assumptions, and reasons.

Automate repeatable steps — build scripts, Power Query, or macros.

Quality check — sample checks, summary stats, and reconciliation with source.

Save & version — store cleaned dataset with version and metadata for traceability.

Intermediate Excel Report (Upto 5-7 Reports and

 1 Page Dashboard)

“Professional Excel reports with KPIs, dashboards, and insights for smarter business performance.”

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•   Define 5–7 report types (Sales,         c Trends, Product, Region, KPI).
• Gather all data sources.
•  Combine data into one master sheet.
• Clean data and remove duplicates.
•  Fix date, number, and text formats.
• Create lookup and reference tables.
•   Add calculated fields (Profit, Margin, Year).
• Build a clean data model.
• Create PivotTables for each report.
• Add interactive charts and visuals.
• Insert KPI cards for quick insights.
  
• Use slicers and timelines for filters.
• Apply conditional formatting highlights.
• Maintain consistent layout across reports.
• Add report-specific insights and metrics.
• Create a navigation sheet with link
• Validate totals with source data.
• Speed up performance by removing unnecessary columns.
• Automate data refresh using Power Query.
• Export final workbook or PDF for sharing.