From raw response to final table, with a clear trail throughout.
We clean, code, weight and tabulate research data using agreed rules so analysts can focus on interpretation rather than repairing the dataset.

Make the data easier to trust, analyse and explain.
Processing decisions shape the story a dataset can tell. We document assumptions, confirm ambiguous rules and retain a clear link between source data, transformations and final outputs, not just a clean file, but a defensible one.
Validation & Cleaning. Completeness, routing, consistency, range and quality rules applied with a documented decision log.
Open-end Coding. Manual and AI-assisted coding for verbatim responses across any language, with frame review.
Weighting & Tabulation. Rim weighting, cross-tabulations and bannerbooks in SPSS, Excel or your preferred format.
Output Automation. Repeatable workflows for recurring tables, charts or standard reporting packs.
Processing rules should be visible, not buried in someone's memory.
We maintain decision notes and version discipline so changes can be understood, reproduced and reviewed without rebuilding the project history.
How the work moves
Confirm
Input files, cleaning rules, banners and output formats agreed.
Prepare
Review structure, labels, routing and source completeness.
Process
Clean, derive, code, weight and tabulate as required.
Check
Independent review of bases, calculations and outputs.
Deliver
Final files with notes, versions and open decisions flagged.
Why teams choose StatEdge for data processing
Documented Processing Rules
Every cleaning, coding and weighting decision is logged, so the path from raw data to final table is fully traceable.
Fast Turnaround
Standard banner and tab requests are typically delivered within 48–72 hours of receiving clean data and specifications.
Custom Banners on Request
Bespoke cross-tabs, significance testing and ad hoc cuts are handled without disrupting the standard production schedule.
Common questions, answered directly
What weighting schemes do you support?
Which formats can you deliver in?
Can you code open-ends in regional languages?
How do you handle late data changes?
Share your data processing requirement.
Send the study brief, questionnaire or reporting spec. We'll come back with the questions that matter.
