IoT & Edge Analytics — key capabilities
- Edge computing architecture for low-latency, on-site data processing
- Real-time analytics pipelines for sensor and connected-device data
- Integration with existing IoT platforms and device fleets
- Selective cloud sync for longer-term storage and cross-site reporting
Where this is used
01
Real-time equipment monitoring on a factory floor with alerts triggered on-site
02
Fleet or asset tracking with location and condition data processed near the vehicle
03
Environmental or facility sensors triggering immediate automated responses
Advanced Analytics — key capabilities
- Predictive modeling scoped to a specific business decision
- Statistical analysis and hypothesis testing on your own operational data
- Scenario and sensitivity modeling for planning decisions
- Clear documentation of model assumptions and limitations, not a black box
Where this is used
01
Customer churn prediction to prioritize retention outreach
02
Price sensitivity analysis to inform a pricing change
03
Scenario modeling for a headcount or budget planning decision
Business Intelligence — key capabilities
- Custom dashboards in Power BI, Tableau, or your existing BI platform
- Data pipeline work to keep dashboards accurate without manual updates
- Metric definitions agreed on across teams, so everyone's looking at the same numbers
- Self-service reporting enablement so teams don't wait on a request queue
Where this is used
01
An executive dashboard tracking the handful of metrics leadership actually reviews weekly
02
Sales and operations dashboards that stay in sync without manual reconciliation
03
Self-service reporting so individual teams can answer their own questions
