Data analysis

We process and analyze your own or third-party datasets: past surveys, customer records or public data. We deliver them clean, weighted and coded, with the same quality checks we use in our own studies.

01What it is

Many organizations collect data that never gets analyzed: satisfaction surveys with thousands of open-ended responses, unsegmented customer databases or measurements that were never weighted. Processing them properly can answer questions without new fieldwork.

Afiches handles the whole process: cleaning and validating the dataset, weighting where appropriate, building indices and segments, statistical cross-tabs and AI coding of open-ended responses reviewed by the team. Results are delivered in a report and, if needed, an interactive dashboard.

02When to use it

  • Survey datasets with uncoded open-ended responses.
  • In-house measurements that need weighting or a methodological review.
  • Customer segmentation from existing data.
  • Combining several sources into one analysis.

03How we work

  1. AssessmentWe review the structure and quality of the dataset.
  2. Cleaning and weightingWe remove invalid cases, fix inconsistencies and weight the data.
  3. CodingWe code open-ended responses with AI, reviewed by the team.
  4. AnalysisWe build cross-tabs, indices and segments.
  5. DeliveryWe present results in a report and an interactive dashboard.

04What we deliver

  • Clean, weighted dataset.
  • Coding of open-ended responses.
  • Tables, cross-tabs and segments.
  • Report and interactive dashboard.

05Questions

Which data formats do you accept?

Excel, CSV, SPSS and exports from the most widely used survey platforms.

How is personal data handled?

We work with anonymized datasets whenever possible and never share information with third parties.

How many open-ended responses can you code?

AI coding can process thousands of responses; the team reviews the themes and a sample of the assignments.

Tell us what you want to measure and we’ll put together a proposal.

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