Analytics, governance, and AI readiness for African programme teams who need more than a dashboard — they need decisions backed by evidence their donors and governments will trust.
Thobelani Mfengwana, MBA
Public Health Informatics Practitioner
325 sentinel sites configured
DHIS2 STI Clinical Surveillance — Limpopo, Eastern Cape, Chris Hani
~2 million RDT gap quantified
Procurement analysis adopted in Gates Foundation Grant INV-067199
Adopted by NDoH, WHO & SANAC
Power BI STI cascade dashboards — national policy review tools
R900M procurement managed
Vaccines, pharmaceuticals & medical equipment — Amathole District
20+
Years in public health data — government, NGO, donor
325
National sentinel sites configured & trained on DHIS2
R900M
Annual procurement budget managed
3
Major donors whose grant reporting this work directly shaped
What this platform offers
Professional services, practical training, and healthcare intelligence — all focused on one outcome: better decisions from your programme data.
Public health informatics, supply chain analytics, DHIS2 systems, and AI readiness for PEPFAR implementing partners, Global Fund recipients, and government health departments.
Explore services →Short, applied online courses built for M&E officers, programme managers, and data teams across sub-Saharan Africa. Learn by doing, on your own data.
Browse courses →Independent healthcare intelligence — DHIS2, PEPFAR M&E, supply chain analytics, and AI readiness. Practitioner commentary, not academic theory.
Read insights →The real problem
Most PEPFAR and Global Fund programme teams are not short of data. They are short of the time, skills, and confidence to use it to make decisions.
Common challenges
DHIS2 data is collected but never interrogated beyond the target
Dashboards exist but no one is confident interpreting or acting on them
AI tools are emerging but leadership doesn't know where to start — or what to trust
Donor reports require evidence the team struggles to produce consistently
Supply chain decisions are made without commodity analytics, leading to stockouts
What changes
DHIS2 systems and Power BI dashboards adopted at NDoH, WHO, and SANAC level
Teams that can read, interpret, and act on their own data with confidence
A clear, practical path into AI — grounded in your programme context, without overwhelm
Quantified evidence adopted directly into Gates Foundation and Global Fund grant reporting
Supply chain gap analyses that close the distance between data and procurement decisions
The engagement model
Organisations move through a structured four-stage journey — from building basic data confidence to embedding AI-informed decision-making as a lasting organisational capability. Each stage builds on the last.
Helping senior leaders understand what AI is, what it is not, and why it matters for their programmes — without the hype or technical overwhelm. Executive briefing format.
Practical ability to use AI tools responsibly in day-to-day work — from writing reports and summarising data to interpreting outputs and knowing when not to trust them.
Connecting data and AI outputs to real programme decisions — not just dashboards, but action. Structured analysis and evidence-based planning built into your workflows.
Embedding data-driven decision-making as an organisational capability — not a one-off intervention. Systems, culture, and team confidence that outlast the engagement.
AI skills development
AI skills development is a core part of this practice — introduced at the right pace for your team, grounded in your programme context, and designed to build lasting capability rather than dependency.
Insights & analysis
Practitioner commentary for African programme leaders — published when available, distributed by newsletter first.
The gap between data collection and programme decision-making — and what it costs implementing partners.
Most dashboards show data. The best ones surface the decision that needs to be made.
The supply chain analytics gap that no one in PEPFAR commodity management talks about.
What AI can and cannot do for PEPFAR and Global Fund programme data teams right now.
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Every issue: one DHIS2 insight, one M&E mistake to avoid, and one practical tool — for programme data teams across sub-Saharan Africa.
Views expressed are personal and do not represent any employer or affiliated organisation. All analysis is based on publicly available information.
The difference
What I bring
20+ years in public health programme environments
NDoH, DHIS2, Global Fund, PEPFAR, CHAI — I know the systems, the reporting cycles, and the constraints your data team lives inside.
Analytics applied to real programme data
Power BI, DHIS2, SQL, R, Excel — used on HIV/STI surveillance, ANC commodity planning, and supply chain analytics. Not hypothetical examples.
Practical AI and data governance skills development
Building AI capability in programme teams — accessible, contextualised, and grounded in your actual workflows.
How I work
Programme outcomes, not technical outputs
Every engagement is designed to drive a decision or build a capability — not to demonstrate technical skill for its own sake.
No jargon, no intimidation
Built for programme managers who need results — not a data science lecture. The complexity stays on my side of the table.
Your independence is the goal
I invest in your team's capability — not your organisation's ongoing dependence on external consultants. Every engagement includes knowledge transfer.
Start here
Start with a conversation — no obligations, no jargon. We discuss what you are trying to solve and I will tell you honestly what an engagement would look like.