One workflow, five deliberate steps. Each step has its own screen and its own approvals. Nothing happens without you.
Give the analysis a name. Upload a CSV, XLSX or XLS. DataForge previews the file and shows the maximum file size and row limit up front.
DataForge identifies probable column types — date, customer, product, category, revenue, cost, quantity, region, status. You can override any classification before the audit runs.
Sales Performance, Revenue Analysis, Customer Analysis, Product Performance, Operational, or General Business. The audit and the report both adjust to the objective.
Every row is checked for missing values, duplicates, formatting drift, invalid values, calculation mismatches, category inconsistencies, statistical anomalies and date or currency drift.
Every issue shows the row, the column, the current value, why it was flagged, the suggested correction, and a severity. Approve, ignore, or edit manually.
DataForge produces an executive summary, key metrics, charts, findings, risks, opportunities and a prioritised action plan — computed from your approved, cleaned dataset.
Download the cleaned spreadsheet, download the report as a PDF, or come back later. Your original file is always preserved, unchanged.
Sign up and try it on your own file.