Data Extraction

Data extraction pulls the fields you need out of databases, documents and unstructured sources and puts them into a structured format. The result is data you can sort, filter and analyse, instead of information trapped in files.

Databases, documents, spreadsheets and unstructured sources, including files that were never designed as datasets. Tell us the source and the fields you need, and we confirm whether the scope is workable before starting.

Fields are defined with you in advance, then the extracted data is cleaned and de-duplicated so the same record does not appear twice. The output follows one consistent structure across the whole dataset.

Extracted data is checked for accuracy and consistency against the source before it is handed over. Any values that cannot be verified from the source are flagged, not filled in with a guess.

You receive the structured dataset in your preferred format, plus a short summary of the sources used and the fields included. Anything excluded or unreadable is noted, so there are no silent gaps.

The source files or access you can provide, the fields you need, the output format and the scope. A sample is usually the fastest way to confirm that the extraction is feasible.

It depends on the quality and structure of the documents, which is why we assess a sample first. If parts are unreadable, we tell you before work starts and agree how those parts should be handled.

Pricing depends on volume, source complexity, the number of fields and how much cleaning is needed. Because those factors vary widely, share your sources and requirements for a quote on your scope.

Timing depends on the size and messiness of the source material, not on a standard turnaround. We confirm a timeline after reviewing a sample and agreeing the full scope.

We work only with sources you provide and confirm you have the right to use. Your data is handled securely, and extracted results are delivered only to you.