Data processing and analytics

Turn research data into clear, decision-ready outputs.

Transform fieldwork results into clean datasets, clear visualisations, and practical findings your team can use.

Data processing and analytics in practice

Capabilities

Flexible support built around your research objective.

Every project is reviewed for audience relevance, methodology, feasibility, timing, and the quality controls needed to deliver dependable outcomes.

8 capabilities across this service line.

  • Data cleaning
  • Open-ended coding
  • Tabulation and cross-tabulation
  • Statistical analysis
  • Data visualisation
  • Dashboard preparation
  • Presentation-ready reporting
  • Data export and formatting

What it delivers

Research outputs designed to move decisions forward.

Well-organised deliverables that make patterns easier to understand, communicate, and act on.

  • Clear scope, feasibility, and expectations before launch
  • Responsive project communication throughout fieldwork
  • Quality controls aligned with audience and methodology
  • Organised, transparent, decision-ready delivery

How it runs

A predictable path from brief to delivery.

  1. 01

    Scope and feasibility

    We confirm audience definition, incidence, markets, and realistic timing before anything launches.

  2. 02

    Set-up and testing

    Screening logic, quotas, and links are tested end-to-end against the specification.

  3. 03

    Fieldwork and monitoring

    Live monitoring of completion behaviour, quotas, duplicates, and response quality.

  4. 04

    Validation and delivery

    Final checks, documented exclusions, and organised outputs your team can use.

Start a conversation

Planning a data processing and analytics project?

Share the audience, markets, methodology, and timing. We’ll confirm feasibility and recommend a practical approach.