The studies below are the programme Nishwik is building from platform-scale operational data. Each publishes only when the dataset is real and the methodology can be attached — no invented statistics, ever.
Each study ships with methodology, sample description, and date — or it doesn't ship.
How Indian schools digitise fees, attendance, and parent communication — from anonymised platform-scale data.
What reconciliation discipline looks like across institution types — and what its absence costs.
Collection timing, reminder effectiveness, and EMI adoption patterns in Indian schools.
Billing accuracy, pharmacy discipline, and collections across digitising hospitals.
Collection rates, reminder response, and corpus practices across Indian societies.
Expiry losses, reorder behaviour, and stock discipline across institutional stores.
Every study requires: a real anonymised dataset of sufficient scale, a methodology section, and a publication date. Each study is green-lit for publication as platform data reaches publishable scale with sound methodology. Empty research is worse than no research — so the programme page is honest about its state.
Research announcements will run through Insights — the blog is the channel.