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Data Processing & Delivery

Transform raw survey output into clean, structured, and well-documented datasets ready for analysis.

data processing and delivery

Data processing and delivery that makes analysis faster and more reliable.

We take raw survey output from multiple sources and convert it into cleaned, harmonized, and clearly structured datasets. Our goal is to remove noise and ambiguity so that analysts and stakeholders can focus on interpretation, not troubleshooting files.

From basic cleaning and coding to derived variables and simple tab views, we align our deliverables with your internal workflows and tools.

What Our Data Processing Covers

We can work with single-country or multi-country data, combining files where needed and ensuring consistent labels, scales, and codes across markets.

  • iconRemoval of invalid and low-quality records
  • iconCode frame alignment across markets and waves
  • iconCreation of derived variables and recodes
  • iconBasic tabulations and structure checks
  • iconDelivery in preferred formats (SPSS, Excel, CSV, etc.)
  • iconDocumentation of all transformations and exclusions

Why Structured Delivery Matters

Well-structured, well-documented data shortens the path between fieldwork completion and decision-making. It also reduces rework in future waves or related studies, because definitions and transformations are captured clearly.

400+

Datasets Processed

30+

Markets Harmonized

95%

Repeat Engagement

48hr

Typical Turnaround Post‑Field

How We Approach Processing & Delivery

We start by agreeing on target formats, variable naming conventions, and any derived metrics you need. This upfront clarity makes later waves of the study easier to compare and extend.

Throughout processing we keep a log of changes – from removed records to new variables – and share this alongside your final files, so every decision is traceable.

data processing workflow
FAQ

Questions about data processing & delivery

We commonly deliver in SPSS, Excel, and CSV, but can support other formats on request as long as specifications are clear.

Do you document which records were removed?

Yes. We provide counts and, where appropriate, IDs or flags for removed or down‑weighted records, along with the rules used.

We can design variable naming and coding conventions with future waves in mind, making it easier to append data and run trends.

On request, we can supply simple tabulations or diagnostic views to help you quickly review fieldwork outcomes and data quality.

Our Service

Data Processing & Delivery

We clean and structure survey data, apply exclusion rules, and prepare files in formats that align with your analysis workflows.

Our team documents all quality actions and transformations, so you know what changed between raw and final data and why.

Cleaning & Harmonization

Remove invalid records, harmonize codes and labels, and ensure variables are consistent across markets.

Structuring & Tab Outputs

Create structured files and simple tab views that make it easier for analysts to explore results.

Documentation & Handover

Deliver clear notes on exclusions, derived variables, and any caveats that might impact interpretation.