Clean &
standardise.
Fix inconsistent formats, identify duplicates and flag missing information. Keep the meaning. Remove the mess.
Sort out my filesDATA CLEANING & TRANSFORMATION
Your spreadsheets have potential.
Let’s make them ready for what’s next.
We clean, structure and validate Excel, CSV and database exports — for reliable reporting, smoother imports and better decisions.
| SKU | PRODUCT | CATEGORY | GBP |
|---|---|---|---|
| SKU-001 | Oak chair | Furniture | 129.00 |
| SKU-002 | Task lamp | Lighting | 49.50 |
| SKU-003 | Wool throw | Review needed | 75.00 |
| SKU-004 | Side table | Furniture | 210.00 |
| SKU-005 | Glass vase | Decor | 28.00 |
Synthetic sample. Not client data or a guaranteed result. Sample data stays in English.
From the files you have.
To the data you need.
01 / WHAT WE DO
A one-off file fix or a more involved migration.
One defined problem. A clear deliverable.
Fix inconsistent formats, identify duplicates and flag missing information. Keep the meaning. Remove the mess.
Sort out my filesTurn scattered files into one useful structure. Align columns, values and formats with your target import template.
Prepare my importCompare source and target data. Check record counts, key fields and agreed rules — with exceptions clearly documented.
Check my dataNeed a recurring check? We can scope a repeatable workflow — without replacing your existing systems.
02 / THE HANDOVER
You should know what changed, what was checked and what still needs a decision. That’s why the handover matters as much as the transformation.
Explore a sample handoverZIP · synthetic CSV files + a plain-English guideYour data, shaped to the agreed structure.
prepared_data.csvChecks, exceptions and unresolved questions.
validation_report.csvA traceable record of agreed transformations.
change_log.csvFinal formats and acceptance checks are agreed per project.
03 / HOW IT WORKS
Start with a description of the problem.
No long sales presentation required.
Describe your source files, target format and the issue you need resolved. Use an anonymised sample where possible.
INPUTYour brief & agreed sampleWe define the transformations, exceptions, delivery format and price before work starts. No vague “clean everything” promises.
PLANClear scope & acceptance checksReceive the prepared data, validation results and change log. Anything uncertain stays visible for your decision.
OUTPUTData, checks & documented changesPrecision is
in the details.
04 / SPECIALIST-LED
Tabulivo is run by an independent specialist with over 18 years of experience in industrial systems and data workflows.
That background shapes a simple approach: understand the context, agree on the rules and verify the result. Tools support the work. They don’t replace judgement.
One accountable specialistDirect communication with the person doing the work.
Data handling agreed upfrontTools, access and retention are part of the scope.
Unknowns stay visibleNo silent guessing of missing business information.
05 / A FEW ANSWERS
Clear expectations make
better projects.
Yes. A single Excel or CSV file can be a complete project. Describe the problem and the result you need; the scope and price are agreed before work starts.
Excel and CSV files, product and customer records, import templates, and exports from business databases. For database-specific work, we first agree on the source, permissions and checks. A sample helps establish feasibility before any commitment.
Not for every project. Many file-cleaning and comparison tasks can be scoped using authorised exports. Production access, when genuinely needed, is a separate decision — never an assumed requirement.
We agree on permitted tools, access and retention before receiving production data. AI-assisted tools may support appropriate tasks, but client data is not to be submitted to external AI services without explicit agreement. Start with anonymised examples, not sensitive files.
By the structure of your files, the required transformations and the validation effort — not just the row count. You receive a scoped quote and an agreed delivery plan. Ongoing checks or changes beyond the scope are quoted separately.
We validate against the target template and rules you provide. A successful test in the target system is a separate acceptance step when access is available. Unresolved data issues are reported rather than hidden or guessed.
LET’S MAKE YOUR DATA USEFUL
Tell us what you have.
Tell us what it needs to become.
Start with a description.
Please don’t include confidential data.
YOUR PROJECT BRIEF
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