A trusted analytics foundation for DNS Africa
The visible request was better analytics. The real problem was fragmented and untrusted registry data.
The problem
DNS Africa came to Tyto asking for better analytics and reporting. Underneath that request the real problem was different: data about domain lifecycles, billing, registrar activity and operations was fragmented across systems and could not be trusted as a single, coherent picture.
Building dashboards on top of that would only have made the wrong numbers easier to find.
Context
Domain registry data is high-volume and operationally sensitive. Lifecycles, billing events and registrar activity all interact, and small inconsistencies compound quickly into ecosystem-level confusion.
What Tyto built
Tyto built the trusted data foundation first. We engineered what DNS Africa already had — connecting and modelling the registry data so a single, reliable view existed before any reporting was attempted.
Once the foundation was trusted, the useful layers followed: dashboards, forecasting, classification and ecosystem-level reporting all became genuinely useful rather than merely available.
What this proves
Trust was the first thing we shipped. No dashboard fixes untrusted data — and AI on messy data is just faster confusion. Get the foundation right and everything above it starts to work.
- A single trusted view across fragmented registry data.
- Forecasting and classification became reliable, not just possible.
- Ecosystem-level reporting that stakeholders could act on.
Your business has a story like this waiting
It usually starts the same way — better analytics requested, a data foundation problem found.