Turn raw telemetry into usable analytics.
Ponte builds the processing and analytics layer around your connected products: normalized telemetry, trusted data models, dashboards, alerts, and reports your teams can act on.
Data in the cloud is not the same as intelligence in the business.
Data Processing & Analytics turns device events into reliable information: what changed, what matters, what needs attention, and which team should act next.
Raw telemetry is not business-ready.
Device events arrive with inconsistent names, units, timing, and context before they can support service or product decisions.
Signals need context before action.
Thresholds, anomalies, and trends need asset, site, customer, and service context before teams can trust the next step.
Reports lag when pipelines are weak.
Teams end up with spreadsheets and one-off queries instead of repeatable analytics products built on trusted data models.
Data products should answer operational questions.
We design around data contracts, roles, and decisions, not chart inventory. Operators need current state. Service leads need risk and priority. Management needs trend, cost, and customer context.
Normalized Events
1.8M
Active Rules
42
Data Quality
98%
Analytics has to reach the people who act.
The dashboard is only one surface. The same analytics model should feed alerts, reports, service workflows, customer views, and the future action layer.
Telemetry Model
Normalize raw events into assets, sites, metrics, states, incidents, and operating windows.
Role Views
Give service, product, management, and customer teams the views they need without one overloaded dashboard.
Signal Rules
Tune alert logic with hysteresis, deduplication, severity, and escalation paths.
Workflow Routing
Push the right events into service tickets, customer portals, email, Teams, BI, or operations tools.
01
Analytics Map
We define the questions each team needs answered and map them to your available device, site, customer, and service data.
02
Pipeline Pilot
We build a production-shaped processing path, dashboard, and alert loop against real or representative telemetry, then tune it with the people who will use it.
03
Operational Rollout
We deploy access, reporting, notifications, governance, and runbooks so analytics becomes part of daily service operations.
Once teams trust the data, service decisions move faster.
Data Processing & Analytics gives your connected product program the operating layer: trusted metrics, reports, alert paths, and clean historical context for action intelligence and automation.
Analytics outcomes
A trusted information layer for the installed base.
Live
Fleet
Alerts