Analytics & BI

Build the fleet analytics you actually need

IoT Query turns telematics data into a first-class analytical data source, compatible with all major BI tools and Python/R ecosystems.

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Holographic analytics cockpit showing a SQL query console connected to bar charts, line charts, and a data table around a central database node

Navixy-native BI

Dashboard Studio: BI built right into Navixy

Not every team wants to stand up an external BI stack. Dashboard Studio is Navixy's own no-code analytics tool, built directly on top of your IoT Query raw, transformation, and business-metrics layers — so you get production-ready fleet dashboards without writing a line of SQL or connecting an external BI tool.

No-code dashboard builder

Drag and drop stat tiles, charts, and tables directly on your IoT Query data — no SQL or BI license required.

Ready-made templates

Start from prebuilt dashboards for fleet, maintenance, and compliance use cases, then tailor them to your own KPIs.

One-click custom reports

Deliver stakeholder-ready reports in Excel, HTML, or PDF without rebuilding analytics or reworking data.

Explore Dashboard Studio

BI integration

Connect your favorite BI tools in minutes

IoT Query works with any SQL-capable tool. Choose what fits your team best — from enterprise reporting platforms to lightweight open-source dashboards.

Power BI

For corporate reporting & governance. Enterprise-grade dashboards with Active Directory integration.

Enterprise

Superset / Metabase

For embedded or lightweight dashboards. Open-source, easy to deploy, great for internal tools.

Open source

Python + Streamlit

For custom domain apps and open-source dashboarding projects. Maximum flexibility and control.

Custom

Tableau / Looker

For advanced visualizations and enterprise analytics. Connect via standard Postgres driver.

Premium

See detailed BI connection guides

SQL-native access

SQL-first, tool-agnostic analytics

IoT Query provides a PostgreSQL-compatible endpoint — connect from any SQL-capable tool. API-less means no rate limits and complete schema visibility.

PostgreSQL-compatible endpoint

Use standard Postgres drivers and SQL syntax. Connect from anywhere — Power BI, Tableau, Python, R, or even Excel.

No API rate limits

Query as much data as you need, whenever you need it. No throttling, no pagination, no waiting for exports.

Complete schema visibility

Browse all tables, columns, and relationships. Understand your data structure at a glance with full metadata access.

How it works:

Get credentials → add Postgres connection in Power BI/Tableau/Superset/Metabase → start building dashboards.

fleet_analytics.sql

SELECT

v.vehicle_id,

v.license_plate,

COUNT(t.trip_id) AS total_trips,

SUM(t.distance_km) AS total_distance

FROM bronze.vehicles v

JOIN silver.trips t

ON t.vehicle_id = v.id

WHERE t.start_time > NOW() - INTERVAL '30 days'

GROUP BY 1, 2

ORDER BY total_distance DESC;

Raw layer → feature engineering

Access raw sensor data for custom feature extraction with SQL & Python

Transformation & business metrics → precomputed features

Use cleansed, enriched data with derived KPIs for ML training

Deploy models

Integrate trained models back into Navixy platform via IoT Logic or APIs

Back into your workflow

Predictions and AI-driven features flow into Dashboard Studio, BI tools, and IoT Logic automations — closing the loop from raw data to action

Machine learning & AI

From dashboards to ML & AI

IoT Query's layered architecture enables data science teams to build predictive models, optimize operations, and create AI-driven features using full-fidelity telematics data.

Predictive maintenance models

Build models to forecast component failures weeks in advance based on sensor patterns and historical repair data.

Route optimization & ETA prediction

Train models on historical trip data, traffic patterns, and weather to optimize routes and predict accurate ETAs.

Risk scoring for insurance

Calculate driver risk scores and eco-driving metrics for insurance underwriting and tender evaluations.

Roadmap

Future analytics capabilities

IoT Query is continuously evolving. Here's what's coming next to make your analytics even more powerful.

PostGIS-compatible geospatial functions

Perform geofence and route analysis directly in SQL. Check if coordinates fall inside zones or calculate distances between points.

Time-window helpers

Filter by shift schedules, working hours, or custom recurring time periods inspired by iCalendar logic — no complex SQL required.

Pre-built business metrics data marts

Ready-made analytical datasets for eco-driving, maintenance, logistics, and support — plug and play for common use cases.

Natural-language querying

Ask a question about your fleet in plain English and get an instant, accurate answer — conversational AI built directly on top of your IoT Query data, no SQL required.