01 · STRUCTURE
One business row per entity
Technical repetitions are consolidated into a readable master by product, item or other business entity.
1,109 raw rows → 300 clean products
Product data & operations
Turn messy exports into reliable business data.
Cleanup, consolidation and restructuring of Excel, CSV and ERP exports. You get a clean master file, a review queue for ambiguous cases, and a clear audit trail of what changed.
From €590 · defined scope
≈ 48 h after rules are confirmed
1 revision included
BEFORE 3 rows · 1 product
pn 01002REGULATOR [OLD]Unit(s)€ 24,70PN-01002Regulator testpcs24.70 EURpn_01002REGULATORPC24,70ConsolidateStandardiseQA
AFTER 1 business row
PN-01002Mini Regulatorpcs24.70 €READYOne clean masterinstead of a hard-to-reuse export
Explicit rulesagreed before transformation
Ambiguities isolatedfor human validation
Traceable changesso you know what was modified
Core service
Cleanup that makes data usable — not just prettier.
The goal is simple: make your data immediately reusable for imports, reporting, analysis or day-to-day operations.
02 · CONSISTENCY
Formats you can finally compare
References, categories, units, names and formats are standardised according to rules agreed in advance.
03 · CONTROL
Nothing is guessed
Conflicts, missing values and non-deterministic cases are separated into a dedicated review queue.
04 · EVIDENCE
Every transformation is traceable
The deliverable documents the rules used and includes a verifiable sample of the changes made.
Real deliverable demo
See exactly what you receive.
The demo uses synthetic data, but deliberately reproduces the problems found in real ERP exports: technical rows, duplicates, inconsistent units, unstable categories, conflicting values and noisy fields.
- Clean, filterable master data
- Review queue for ambiguous cases
- Documented cleanup rules
- Illustrative Business Insights when history supports them
Optional — only when the data supports it
Business Insights that can actually change a decision.
No generic dashboard sold by default. The analysis is defined only after reviewing the fields, dimensions and history available.
PRICING
Margin deteriorates before revenue does.
Cost +9.5% vs net price +3.3% on a SKU: a clear candidate for repricing or supplier renegotiation.
AVAILABILITY
Growth is being constrained by stockouts.
Six months of stockouts on a product with rising demand: the bottleneck is operational, not commercial.
QUALITY
A return rate that stands out from the noise.
8.4% returns on one SKU: a signal to investigate quality, packaging, compatibility or the product page.
MARKET GAP
The market is growing while the product is shrinking.
SKU -11.4% while its local category is +8%: a product-specific issue worth isolating.
What makes these analyses possibleDates · sales · costs · inventory · returns · country/site · customer IDs
BUSINESS INSIGHTSFrom €300after data review
Process
Three steps. No endless project.
01
Review
I inspect the structure, inconsistencies and what can realistically be corrected.
02
Rules + processing
We confirm the business rules, then the file is consolidated, standardised and quality-checked.
03
Delivery + review
Clean master, ambiguity queue, transformation audit and one revision within the agreed scope.
Standard scope
Data Cleanup from €590.
Typically: one Excel / CSV / ERP export, up to roughly 3,000 rows and 30 columns. More complex files are quoted after review.
Services for businesses only. Starting prices are indicative; scope and final price are confirmed by quote before any work begins. No payment is taken on this website.
✓ Clean master file
✓ Review queue
✓ Audit trail
✓ 1 revision
✓ Import CSV when useful
— No direct ERP integration
First conversation
Got an export that is painful to use?
Send the context and file type. I first tell you what is realistically possible, then confirm the scope and price.