Data Audit
We review your existing data systems, find bottlenecks and gaps, then deliver a clear written report with practical recommendations.
A prioritized plan for improving your data workflow.
What we do
Audit what exists, automate what is repetitive, and keep it working.
We review your existing data systems, find bottlenecks and gaps, then deliver a clear written report with practical recommendations.
A prioritized plan for improving your data workflow.
We automate handoffs between collection, storage, your analysis tools, and reporting. Your team stays in control of the analysis.
A reliable data flow your team can understand and maintain.
Ongoing monthly support for data cleaning, recurring reports, dashboard updates, and small improvements to your workflows.
Consistent support as your data needs change.
Proof in practice
We build and use the kinds of connected systems we bring to research teams.
Field data pipeline
Data preparation
3 days to <2 hours
The workflow replaced monthly spreadsheet merges with automated cleaning, PostgreSQL storage, and an R-ready export, reducing data preparation from three days to under two hours. Future builds will prioritize open-source, low-cost tools for collection.
Built by our team
The EvolvLearn platform brings together Django REST Framework, Next.js, PostgreSQL, automated email, payments, and production deployment on Render and Vercel.