PLATFORM
The questions your data can answer.
From treatment to customer care, see how utility data turns into decisions — with analytics first, and models only where useful.
Not every question needs AI. Each example shows the method it relies on.
- Analytics rules, calculations, KPIs, trends
- Predictive statistical forecasts and risk scores
- Model-assisted a model for a defined, controlled task e.g. sentiment, classification, recommendations
150+ digests every month. Two real examples below.
Real digests, anonymised.
Two digests a water utility's teams received from the platform, redrawn with their original figures and translated. Names, logos and links removed.
Real dashboards, anonymised data.
Calculated from the data of two operators — a water utility and an urban services operator — aggregated by month and by category. No names, places or accounts.
Predictive and model-assisted examples.
Invented figures, unless marked Real data.
Analytics first. Models when useful.
Most use cases rely on rules, KPIs and statistical analysis. When a model adds value, it is called for a defined task, under the same Sparkoper governance.