S4D COGNIVO™
AI & Data Intelligence Platform
Turning Data into Actionable Intelligence
Connect, analyze, and visualize national or enterprise data through one AI-powered intelligence platform.
Overview
Cognivo unifies data from multiple systems into a central lakehouse, enabling predictive insights, scenario modeling, and policy level decision-making — whether for national health, education, or enterprise systems.
Core Capabilities

Public Health Intelligences
Data integration across DHIS2, LMIS, HRHIS, Community Systems, CRVS

Education Analytics
Learning outcome prediction, dropout early warning.

Supply Chain Analytics
Stock visibility, quantification, & demand forecasting

AI Forecasting & Simulations
Predictive modeling & scenario planning

Governance
Fiscal & performance transparency
S4D AI for Health Intelligence (NHICs)
A trusted partner for digital education transformation
S4D AI powers National Health Intelligence Centers (NHICs) by transforming fragmented public health data into an integrated
ecosystem of actionable intelligence.
The platform connects multiple data systems—DHIS2, LMIS, HRHIS, HMIS, and financial databases—through automated ETL pipelines that standardize and clean data for seamless flow into a unified Data Lakehouse. This centralized repository becomes the single source of truth for all health indicators.
Once data is harmonized, the AI Layer applies advanced analytics and machine learning to identify trends, forecast supply
needs, predict disease outbreaks, and detect anomalies across programs. These insights are then visualized through interactive
dashboards and open APIs, giving Ministries of Health, funders, and implementing partners real-time visibility into national performance.
S4D AI turns static data into dynamic foresight—empowering decision-makers to move from reactive reporting to proactive
health management.
S4D AI for Education Intelligence (EduNexus)
A trusted partner for digital education transformation
Through S4D EduNexus AI, schools and education groups gain intelligent visibility across academic, financial, and operational performance.
The platform pulls data from diverse sources—student records, financial systems, learning platforms, and attendance logs— through automated ETL pipelines that prepare and unify information in a centralized Data Lakehouse. This ensures every data point, from classroom performance to transport tracking, contributes to a single, integrated school intelligence system.
At the AI Layer, machine learning models analyze performance patterns, detect at-risk students, and forecast enrollment or budget outcomes. Educators and administrators then access intuitive dashboards and APIs that visualize progress, compare performance across campuses, and guide data-driven decision-making. From classrooms to the boardroom, S4D EduNexus AI transforms everyday school operations into a continuous loop of insight,
improvement, and innovation.
Shared Tech Stack:
- Microsoft Fabric – Data integration, pipeline orchestration, and governance
- Azure AI – Predictive modeling and machine learning
- Power BI – Executive dashboards and real-time analytics
Impact
- 80% improvement in visibility of national KPIs
- 60% faster analytics turnaround
- Predictive forecasting accuracy: 92%+
Use Cases
- Zambia NHIC (Health Intelligence)
- Ghana HIE (Health Interoperability)
- RMS Rwanda (AI Market Forecasting)