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DataMosaic — Startup Profile
Startup

DataMosaic

Automated Data Verification For IT Retail

Sales & Customer Support
0 Momentum score
Signals per week, last 12 weeks
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  1. Launches DataMosaic launched on PeerPush

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About the startup

Your POS says one number. Your ERP says another. DataMosaic follows the difference back through the flow and tells you the reason — a rejected record, a mapping error, a rule that changed. You already have a way to find this out. It takes a morning, it runs on one person's laptop, and it starts from zero every time. Export one file per system, Copy into a sheet, VLOOKUP match the keys, Filter the rows that differ, Investigate one at a time, Send an email to ask the store, Fix it if the morning holds out + everything nobody wrote down — which keys join, which rows to ignore, which difference is fine. This means: Hours lost investigating, Business stakeholders start escalating, The answer arrives after the decision, One person holds the whole method Next month, the same question from zero. The spreadsheet isn't the real problem. The problem is that nothing you learn today is still there tomorrow. DataMosaic starts where the spreadsheet stops. Seven sales are missing. That is where a comparison ends. Mosaic follows those seven back through the integration layer until there is a reason. Not another report. An answer. Integration tools move the data. Data quality tools check the data is clean. Monitoring checks the pipeline is running. BI shows you the number. DataMosaic tells you why the numbers don't match. It can answer because it knows how the data was meant to travel. You model the flow once — what should move, how it should be transformed, what counts as an exception. Mosaic then checks reality against it, continuously. Built for the person who gets asked why the numbers are wrong. Usually the IT manager. Usually before nine. Usually with no way to answer except to open four systems and start looking. Runs on your infrastructure. Credentials encrypted on disk. No data leaves your network. On-premise available. Data you can trust isn't just data that matches. It's data you can explain.

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