Messy spreadsheet in. Reviewable workbook out.
A constructed example showing how Vendrel can clean and QA a business spreadsheet. This is not a customer case study or claimed client result.
Demonstration, not testimonial.
This page is intentionally labeled as a constructed example. It demonstrates process and deliverable quality only. It does not claim that a named customer achieved these outcomes.
A workbook that grew faster than its rules.
Imagine a sales sheet with inconsistent date formats, duplicate customer records, mixed currency notation, blank invoice IDs and notes buried inside amount columns.
Example inputs
- Sales and invoice rows
- Customer names written multiple ways
- Mixed date and currency formats
- Missing or suspicious values
- Free-text notes mixed with structured fields
Normalize. Match. Flag. Verify.
Normalize
Standardize dates, headers, whitespace, casing and field formats without silently inventing missing business data.
Reconcile
Identify likely duplicate records and matching candidates while keeping ambiguous rows visible for review.
QA
Deliver a cleaned workbook plus an exception log so a human can see what changed and what still needs judgment.
Useful output, not a black box.
The finished package can include the cleaned workbook, a change summary, duplicate candidates, unresolved exceptions and validation notes.
Quality bar
- No hidden deletion of ambiguous records
- Clear separation of corrected vs. unresolved values
- Repeatable field formatting
- Human-readable exception notes
- Final workbook opens cleanly and preserves required columns
Use the same structure on your actual inputs.
Send the real scope and Vendrel will confirm the deliverable, constraints and price before work starts.