RGAnalyzer
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Product • Method

How it works in 60 seconds.

Upload • verify columns • analyze • export.

From raw file to a decision-ready report

RGAnalyzer analyzes your business files, detects key columns, normalizes usable data, and generates clear reports adapted to the analysis type.

Before upload

Choose the reading that matches the file.

The method stays the same: upload, column review, report. KPIs change depending on the selected business file.

SalesRevenue, margin, customers, products. ExpensesCategories, suppliers, VAT, recurring costs. PipelineOpen, weighted, forecast, sources. DuesExpected, paid, follow-ups. RentCollections, arrears, properties. RetailTickets, basket, items, hours.

1. Upload

Upload a business file: sales, expenses, pipeline, dues, rent, or retail/restaurant data. CSV, TSV, TXT and Excel are supported.

Imperfect files accepted

The tool automatically detects the real header row, even if your file contains a logo, a title, or text before the table.

Multi-languages & formats

French or English columns, mixed date formats, amounts with currency symbols or local separators: everything is normalized automatically.

2. Business-column detection

RGAnalyzer automatically detects the likely role of each column from its name and observed values.

Roles detected by analysis type

  • Date or period
  • Amount / revenue / rent / due
  • Customer, supplier, member, tenant, or ticket
  • Product, category, stage, status
  • Quantity, price, cost, margin, or VAT when available
  • Owner, source, region, or channel when available

Confidence score

Each detection includes a confidence score. You always remain in control.

3. Column review

Before the report, you confirm the detected columns. If a column looks wrong, adjust it and run the analysis again.

Unlimited corrections

After you start an analysis, you can adjust the recognized columns as many times as needed without consuming extra quota.

Nothing is implicit

If a column is missing (amount, order id…), the report explains it and adapts KPIs transparently.

4. Analyze & decide

Generate a decision-oriented report: KPIs, trends, points to watch, data quality and next actions.

KPIs adapted to the file

  • Revenue, expenses, rent, or dues
  • Average basket, collection rate, or weighted pipeline
  • Customers, suppliers, members, tenants, or tickets
  • Concentration, top items, statuses, or categories
  • Period trends when dates are available

Points to watch

Detection of anomalies, amounts to check, unpaid items, concentration, variations and reading limits: without opaque calculation.

5. Professional exports

Clean CSV

Export clean data for Excel, Google Sheets or BI.

Adapted exports

PDF, Excel, clean CSV and, for some modules, PPTX: exports vary depending on the analysis type.

6. From your CRM, ERP or business-tool exports

You do not need a native connector to use the platform. An export from your CRM, ERP, POS, management tool or spreadsheet is enough in most cases.

Common sources

  • HubSpot
  • Shopify
  • Salesforce
  • Odoo
  • monday.com

What works best

A raw export with visible headers, one row per sale / order / opportunity, and date or amount columns that are not merged.

What RGAnalyzer replaces

RGAnalyzer avoids rebuilding a dashboard for every one-off need: start from an existing export, review the columns, then get a readable report.

Transparency