Row by row, what doesn't add up.
Duplicates, files loaded twice, amounts with and without tax mixed together, the same store spelled three ways. Every issue is flagged with its cause.
Clean up your data
Data quality
“I have the numbers, but I don't know if I can trust them.”
We check where every number comes from, what's duplicated, what doesn't match between your systems and how much each error weighs. You get a trust index measured every week.
Duplicates, files loaded twice, amounts with and without tax mixed together, the same store spelled three ways. Every issue is flagged with its cause.
Every error is turned into money. That shows what to fix first and how much the number you decide with changes.
How to read it. It starts at reported sales and subtracts each error, step by step, until it reaches real sales.
We cross-check every record between your systems: what matches, what's in one but not the other, and amounts that don't add up.
Every issue found becomes a rule that checks the data every day and warns you before it reaches the report.
A data quality review compares what your reports say with what the source recorded: sales, inventory and accounting. It finds duplicates, double loads, amounts with and without tax and repeated stores, measures how much each error weighs and sets rules so data arrives clean.
If two reports give different numbers for the same thing, if someone tweaks the spreadsheet before the meeting or nobody knows where a number comes from, there's a quality issue. The review confirms it row by row and shows how much each error weighs.
Excel and Google Sheets, SQL databases, exports from your sales, ERP or invoicing system and camera counts. We work with read-only access.
A percentage that measures how much of your numbers match the source. It's calculated every week with the same rules, so you see if your data quality is improving or getting worse.
Every project is quoted. After the assessment we send you a written proposal with the scope, the stages and the price of each.
Further reading
La IA falla, pero muchas veces trabaja sobre Exceles del terror. Usar IA bien tiene menos que ver con prompts y más con revisar qué datos le entregas.
Read → Datos y decisionesDashboards con 47 gráficos que no cambian ninguna decisión. Entre el dato y la decisión hay un vacío que se llama interpretación, y ningún software lo llena.
Read → Datos y decisionesTodas las empresas tienen datos y dashboards brillantes, pero pocas entienden qué significan. El trabajo está en traducir números en decisiones.
Read →Everything documented and yours.
Every issue, its cause, how much it weighs and how to fix it.
Your databases corrected and unified, ready to use.
Automatic checks that warn you before the error reaches the report.
One number that says how much you can trust your data this week.
Book an assessment and we'll review together where every number comes from.