Mizan Data · complete prototype
Spot inconsistencies. Make the data behind your decisions reliable.
Mizan Data collects, validates, scores and traces an organization's business data, from the field to the dashboard. Doubtful data is flagged and documented, never silently used.
The demo runs on fictitious health data (choose demo mode on the login screen).
How it works
Five steps, one system
01
Collect
Dynamic forms, CSV/Excel import, API, including offline
02
Validate
Human validation workflow, reason required on rejection
03
Score
A–F quality score: validity, completeness, uniqueness, consistency
04
Trace
Tamper-evident audit log chained with SHA-256, plus an access log
05
Deliver
Real-time dashboard, CSV/Excel/PDF exports, REST API
Concrete proof
Software that is built and tested
520
automated tests passed on a real PostgreSQL database (September 2026)
AES-SIV
encryption of personal data, masked for anyone not allowed to see it
SHA-256
chained audit log: any tampering is detectable
1 schema / org.
data isolation at database level: one PostgreSQL schema per organization
Status
What exists, what's next, what's being prepared
Available in the prototype
Features developed and tested end to end. Mizan Data has not yet been used by a client: the first pilot is still to come.
- Multi-channel collection: dynamic forms, CSV/Excel import, API, offline collection synced when the network returns
- Human validation with documented reason and decision history
- Automatic A–F quality score, with an email alert when it drops below a chosen threshold
- Suggested validation rules based on data already collected, never applied without approval
- Encryption of personal fields, role-based permissions, protection against repeated login attempts
- Tamper-evident audit log and access log
- Real-time dashboards, CSV / Excel / PDF exports
Next · based on feedback from the first pilot
| Feature | Why |
|---|---|
| DHIS2 connector | Exchange directly with the reference tool of the health sector in Africa. |
| Library of sector schemas | Start faster in health, agriculture and microfinance. |
| Deployment on your servers | For institutions that require their data to stay in-house. |
Later · long-term vision
- Interface in Dioula and Baoulé, alongside French
- Native Power BI and Tableau connectors
- Native mobile app for collection in very low-connectivity areas
This roadmap evolves with field feedback and commits to no firm delivery date, unless specifically agreed by contract.
Another Mizan platform
Your data is reliable. Your routes can be too.
Want to make your data reliable?
Tell us about your data and context. We will tell you honestly whether a Mizan Data pilot makes sense for you.
Discuss a pilot →