IoT Data &
Analytics
Turn IoT telemetry into actionable intelligence: KPI dashboards, anomaly detection, alerting, and decision workflows. Tailored to your requirements.
- 100% IP Ownership
- Real-Time Insights
- AI-Ready Pipelines
What You Get With Zigron
Analytics solutions built around your actual operational workflows—not generic dashboard templates.
Telemetry Model & KPI Definitions
Single source of truth for telemetry schemas, KPI calculations, and data lineage documentation.
Operational Dashboards
Real-time dashboards for ops teams, executives, and support—built around actual workflows, not vanity charts.
Alerting Logic & Automation
Threshold-based, trend, and anomaly-detection alerting that produces actionable outcomes, not noise.
Data Quality Checks & Lineage
Automated validation, completeness checks, and lineage documentation for every data pipeline.
Analytics API Endpoints
Well-documented APIs for apps, partners, and internal tools to consume processed IoT data.
AI/ML Readiness Layer
Data pipelines designed for future predictive analytics, forecasting, and machine learning programs.
Who Is This For?
From fleet monitoring to AI readiness, we help teams make data-driven decisions.
Fleet Performance Monitoring
Problem
No clear visibility into fleet health—issues discovered only after outages or customer complaints.
Solution Approach
Real-time KPI dashboards with anomaly detection, SLA tracking, and drill-down diagnostics per device/site.
Outcome
60% faster incident detection, 35% reduction in MTTR.
Energy & Asset Insights
Problem
Energy data siloed across meters, inverters, and BMS systems with no unified view.
Solution Approach
Unified telemetry pipeline aggregating multi-source data into normalized KPI dashboards.
Outcome
15% improvement in energy yield through data-driven optimization.
AI/Forecasting Readiness
Problem
Data quality and schema inconsistencies prevent meaningful ML model training.
Solution Approach
Clean, validated, and documented data pipelines designed for downstream AI consumption.
Outcome
Reduced data prep time from weeks to hours for ML teams.
How We Deliver Excellence
Discover
Map telemetry schemas, device metadata, desired KPIs, and operational workflows
Design
Define data models, pipeline architecture, dashboard layouts, and alerting logic
Build
Implement ingestion pipelines, storage layers, dashboards, and API endpoints
Validate
Verify data quality, alert precision/recall, and dashboard accuracy against real data
Deploy & Tune
Production rollout with ongoing alert tuning, dashboard refinement, and performance optimization
Flexible Engagement Models
Whether you need a Dedicated Data Team to build and maintain pipelines or a Project-Based Delivery, we adapt to your workflow.
Technical Approach
End-to-end data flow from device telemetry to actionable insights.
Devices
Sensors, Gateways
Ingestion
MQTT, Kafka, HTTP
Storage
Time-Series, Lake
Analytics
KPIs, Alerts
Consumers
Dashboards, APIs
Data Quality
Validated, complete, and documented pipelines you can trust.
Real-Time
Sub-second data freshness for operational decision-making.
Security
PII minimization, role-based access, and audit trails.
AI-Ready
Schemas and pipelines designed for downstream ML consumption.
Tools & Technologies
Best-in-class tools for streaming, storage, and visualization at IoT scale.
Data & Streaming
Storage & Query
Visualization & Ops
Success Stories
TerraSmart Solar Monitoring
Services: Telemetry Pipeline, KPI Dashboards
Result: Real-time monitoring across 500+ solar installations.
Abode Smart Home Security
Services: Device Analytics, Alerting Logic
Result: 300,000+ devices monitored with 99.99% data freshness.
TerraTrak AI Performance Analytics
Services: ML Analytics, Energy Optimization Dashboards
Result: +12% energy generation through data-driven optimization.
Frequently Asked Questions
Ready to Unlock Your IoT Data?
Tell us about your telemetry challenges. Our data engineers will design a pipeline that turns raw signals into operational intelligence.