Data preparation
Create analysis-ready datasets with decisions and transformations recorded.
- Cleaning rules
- Variable harmonisation
- Reproducible checks
We prepare, analyse and communicate quantitative and qualitative evidence so teams can understand what happened, why it matters and what to do next.
We combine careful data preparation, appropriate methods and clear interpretation. The result is a transparent line between the source data, the finding and the decision it is intended to inform.
Create analysis-ready datasets with decisions and transformations recorded.
Select methods that match the question, design and limits of the data.
Organise and interpret interviews, focus groups and open-ended responses.
Connect indicators, implementation evidence and outcomes.
Build practical reporting views for teams that need recurring evidence.
Translate findings for technical and non-technical audiences without overstating certainty.
Understand the decision, design, provenance and limits of the data.
Apply documented cleaning, derivation and quality checks.
Use methods proportionate to the question and evidence.
Communicate meaning, uncertainty and practical implications.
Yes. We begin with a structured data audit and clarify definitions, missing information and quality constraints before agreeing which analyses are defensible.
Yes. Dashboard work begins with the decisions and user roles the view must support. We can prepare datasets and build or support reporting in tools such as Power BI and Tableau.
Yes. We design the synthesis around shared questions and explicitly show where sources converge, add nuance or disagree.