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.

FeatureWhy
Generic record PDF exportExtend raw data export to formatted PDF beyond the quality report.
Automatic quality alertsProactive notification when a quality score drops below a configured threshold.
DHIS2 connectorNative interoperability with Africa's reference tool for the health sector.
Extended test coverageStrengthen 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.

Ready to certify your data?

Let's discuss your use case and set up a first pilot schema.

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