Supporting service
Reproducible R pipelines, decision and financing models, and dashboards that turn routine health and financing data into evidence your team can update.
Many ministries, insurers and programmes hold valuable data — claims, routine health information, budgets — but analyses are rebuilt by hand each year in spreadsheets that are hard to check or update. Decisions then rest on numbers nobody can reproduce, and knowledge leaves with each consultant.
Version-controlled R pipelines that clean, analyse and report data the same way every time.
Transparent models for budgeting, forecasting and scenario analysis that your team can maintain.
Lightweight dashboards that present key indicators and model outputs to decision-makers.
Map data sources, quality issues and the decisions the outputs must support.
Write documented, tested code that turns raw data into analysis-ready tables and results.
Deliver models, reports or dashboards designed for the people who will use them.
Train your team to run and update the pipeline without us.
Every engagement follows our reproducible pipeline with three expert sign-off gates.
No. Outputs can be reports, models or dashboards. The underlying R code is documented, and we train your team if you want to run and update it yourselves.
Typically 4–8 weeks for a reproducible pipeline, model or dashboard.
2 min read
How to add a clear, fundable economic evaluation aim to a research or programme grant, with example wording, design choices and budget lines.
Tags: economic evaluation · grants · methods
2 min read
The cost of a health costing study depends on a handful of choices. Here is what drives the price, and how to scope a study that fits your budget.
Tags: costing · methods
2 min read
A step-by-step method for a defensible cost per beneficiary, with a worked example and the mistakes funders notice.
Tags: costing · value for money · methods
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