Our product
DataGov CI · Data Quality Engine
An operational SaaS platform that collects, validates, scores and traces an organization's business data, from the field to the dashboard.
The workflow
Five steps, one system
01
Collect
Form, CSV/Excel import, API, including offline
02
Validate
Multi-level review, a reason is required on rejection
03
Score
A–F quality score across four dimensions
04
Trace
Immutable audit trail, SHA-256 chaining
05
Deliver
Real-time dashboard, CSV/Excel/JSON export, REST API
Concrete proof
This isn't a mockup
429/429
automated tests passing, on a real database
7
business modules shipped and tested
SHA-256
chained audit trail, tampering detectable
RS256
asymmetric-key authentication
The firm is also exploring an advanced analytics track with CACAO-SECURE, a predictive model of Ivorian cocoa production currently under study.
Product roadmap
What exists, what's coming, what's ahead
Now · available and verified
Features deployed and tested end to end (429/429 automated tests).
- Multi-channel collection: dynamic forms, CSV/Excel import, API ingestion
- Human validation workflow with documented reason and decision history
- Automatic quality score (A–F) across 4 dimensions
- Immutable audit log, chained via SHA-256 hashing
- Real multi-tenant isolation (PostgreSQL schema per organization)
- JWT RS256 authentication, role-based permissions, brute-force protection
- Real-time dashboards, CSV / Excel / PDF exports
- Offline mode for field collection (automatic sync on reconnection)
Next · in preparation
Upcoming iterations, prioritized based on feedback from early pilot clients.
| Feature | Why |
|---|---|
| Generic record PDF export | Extend raw data export to formatted PDF beyond the quality report. |
| Automatic quality alerts | Proactive notification when a quality score drops below a configured threshold. |
| DHIS2 connector | Native interoperability with Africa's reference tool for the health sector. |
| Extended test coverage | Strengthen coverage on organization modules and async tasks. |
Later · long-term vision
- Dioula and Baoulé interface, alongside French
- Native BI connectors (Power BI, Tableau) beyond direct PostgreSQL access
- Packaged on-premise deployment for institutions with strong sovereignty requirements
- Library of ready-made sector schemas (health, agriculture, microfinance)
- Native mobile app for field collection in very low-connectivity areas
This roadmap reflects the studio's thinking as of the date shown; it evolves with field feedback and carries no firm delivery date, except under specific contractual agreement.
Another product from the studio
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