Navixy Platform · Fleet Data Analytics
    Query-first telematics data

    Navixy IoT Query fleet data analytics platformIoT Query

    Fleet data analytics platform

    Query fleet and IoT data with SQL instead of stitching together APIs, retries, and custom data pipelines. Built for fleets, TSPs, and integrators.

    Run SQL on IoT DataExplore Documentation

    Why fleet data analytics needs SQL, not just dashboards

    Most telematics platforms were never designed for serious fleet data analytics. You get rigid dashboards, nightly exports, and rate-limited APIs — fine for basic monitoring, but painful when you need joined-up business insight, ML, or custom reporting.

    query_fleet_efficiency.sql
    1SELECT
    2t.vehicle_id,
    3SUM(t.fuel_consumed) AS total_fuel,
    4AVG(t.safety_score) AS avg_safety
    5FROMtelematics.trips t
    6JOINcrm.drivers d ON d.id = t.driver_id
    7WHEREt.start_time > NOW() - INTERVAL '30 days'
    8GROUP BY1;
    Query Result (0.04s)
    vehicle_01
    452.5 L
    98.2%
    Direct Access

    Stop scraping APIs.
    Start querying data.

    The pain

    Dealing with pagination, rate limits, and nightly CSV exports just to get raw data.

    The solution

    Connect Power BI, Tableau, or DBeaver directly to the Lakehouse. Run complex SQL joins instantly on years of history.

    Explore SQL Recipe Book
    Custom Intelligence

    Define your own KPIs.
    Not generic defaults.

    The pain

    Stuck with "one-size-fits-all" scoring models that punish drivers for behaviors your fleet allows.

    The solution

    Author your own logic in SQL. Adjust weights for braking, idling, or speeding to match your reality, then push it to any dashboard.

    Create fleet dashboards tailored to your KPIs directly in Navixy
    Fleet safety score
    94/100
    Speeding compliance98%
    Cornering / Braking85%
    Eco-driving (custom)92%
    IoT Query Unified
    Telematics
    ERP / Billing
    CRM
    Maintenance
    Unified Schema

    The "single source of truth"
    is finally real.

    The pain

    Telematics data sits in one silo. ERP in another. Billing in a third. Correlating them requires fragile ETL scripts.

    The solution

    IoT Query treats business entities (drivers, customers, contracts) as first-class citizens alongside GPS data. Join them in a single query.

    Explore Navixy Documentation to learn more

    How fleet data flows from sensors to analytics

    A continuous flow from raw signals to business intelligence. IoT Query orchestrates ingestion, enrichment, and storage so you can focus on fleet data analytics.

    01

    Ingest & transform

    IoT Logic

    Decodes raw payloads from any device (GPS, CAN, sensors). Normalizes protocols and enriches streams in real-time before they hit the database.

    • Protocol decoding
    • Real-time enrichment
    • Unit conversion
    02

    Store & organize

    Private Telematics Lakehouse

    A managed PostgreSQL warehouse optimized for high-volume time-series data. Stores billions of records with hot/cold retention policies you control.

    • PostgreSQL compatible
    • AES-256 encryption
    • Auto-partitioning
    03

    Model & analyze

    Business Data Repository

    Maps telematics IDs to real-world entities: drivers, assets, jobs, and contracts. Exposes a rich SQL schema for BI tools, AI models, and apps.

    • Entity graph
    • OpenAPI access
    • Custom fields

    Fleet analytics data layers: from raw signals to KPIs

    IoT Query organizes your fleet data into refined layers. Start with the raw foundation, refine into trusted datasets, and deliver executive-grade analytics at the top.

    Gold layer
    The business layer

    KPI & AI-ready

    Business-friendly marts and feature stores: fleet performance, safety scores, logistics SLAs, vertical-specific KPIs. Built to power dashboards, ML models, and AI assistants without additional heavy data modeling.

    Silver layer
    The analytical layer

    Cleansed & time-aligned

    Normalized time-series tables and curated joins across devices, trips, and business entities. Designed to make common analytical questions fast and repeatable without reinventing the wheel in every query.

    Bronze layer
    The raw layer

    Raw & complete

    Full-fidelity telematics and business data with all the detail intact. Perfect for data analysts, data scientists, and engineers who need complete control and transparency.

    Explore the IoT Query Architecture

    Who uses fleet data analytics

    IoT Query is designed so fleets, TSPs, integrators, and OEMs can all build their own fleet analytics advantage.

    TSPs & white-label platforms

    • Launch new analytics-driven services without rebuilding your core.
    • Differentiate with advanced dashboards and reports for key verticals.
    • Reduce churn by giving customers direct SQL access to their data.

    System integrators & consultants

    • Start every project with a ready-to-use telematics schema.
    • Focus on business logic, not inventing pipelines from scratch.
    • Deliver faster, more maintainable solutions on top of Navixy.

    ISVs / OEMs

    • Embed telematics insights directly into your own applications.
    • Combine device data with your ERP/CRM/BPM systems in SQL.
    • Keep ownership of data while leveraging Navixy as the analytical engine.

    Enterprise fleets & operations

    • Unify vehicles, drivers, routes, and jobs in one analytical view.
    • Track utilization, safety, and service quality with your own KPIs.
    • Give operations, finance, and management a single source of truth.
    See real-world telematics solutions →Contact a Navixy partner →

    Security, residency, and compliance built-in

    IoT Query is delivered as a managed cloud service with strong isolation and governance. Each tenant's lakehouse is operated in its chosen region, with encryption and access controls aligned to modern security standards.

    • Regional hosting & residency

      Deploy IoT Query in specific regions so telematics data stays within required jurisdictions.

    • Encryption & tenant isolation

      Encryption at rest and in transit, strict tenant boundaries, and controlled access for users and tools.

    • Enterprise-grade practices

      Designed to align with SOC 2 / ISO 27001-grade processes across operations, monitoring, and incident response.

    Fleet data analytics security, residency, and compliance features

    Start your fleet data analytics in 3 steps

    Whether you're a TSP, an enterprise fleet, or a system integrator, IoT Query slots into your existing Navixy deployment and your existing fleet analytics stack.

    1

    Enable IoT Query

    Work with Navixy to enable IoT Query for your account, choose your region, and define initial scope.

    2

    Connect your favorite tools

    Use standard PostgreSQL connections with tools like pgAdmin, DBeaver, Power BI, Tableau, Superset, dbt, or Python notebooks.

    3

    Evolve to Silver & Gold layers

    Start with raw and joined SQL queries on Bronze. As your analytical needs grow, leverage Silver for optimized time-series analytics and Gold for executive-ready KPIs and ML workflows.

    Book a strategy sessionExplore IoT Query Documentation

    Not sure where to start? We can review your current telematics setup and sketch an initial IoT Query architecture together.

    Fleet data analytics FAQ

    What is fleet data analytics?
    Fleet data analytics is the practice of collecting, storing, and querying telematics data — GPS positions, fuel consumption, driver behavior, sensor readings — to extract actionable business insights. Unlike basic fleet tracking dashboards, fleet data analytics lets you run custom SQL queries, build your own KPIs, and feed data into BI tools, AI models, or third-party applications.
    How does IoT Query enable fleet data analytics with SQL?
    IoT Query gives you a standard PostgreSQL connection to your telematics data. Instead of scraping rate-limited APIs or exporting CSVs, you connect Power BI, Tableau, DBeaver, or Python directly to the database and run SQL queries on years of fleet history — trips, events, sensors, drivers, and business entities — all joined in a single query.
    What types of fleet data can I analyze with IoT Query?
    IoT Query stores and organizes all telematics data: GPS tracks, trips, fuel events, driver behavior scores, CAN-bus sensor data, maintenance records, geofence events, and business entities like drivers, vehicles, contracts, and customers. Data is organized into Bronze (raw), Silver (cleansed), and Gold (KPI-ready) layers.
    Which BI tools work with IoT Query for fleet analytics?
    Any tool that supports PostgreSQL connections works with IoT Query: Power BI, Tableau, Apache Superset, Grafana, Metabase, Google Looker Studio, DBeaver, pgAdmin, dbt, Python (pandas, SQLAlchemy), R, and custom applications via JDBC/ODBC drivers.
    How is fleet data secured in IoT Query?
    IoT Query provides enterprise-grade security: AES-256 encryption at rest and in transit, strict tenant isolation, regional data residency (deploy in your chosen jurisdiction), role-based access control, and processes aligned with SOC 2 and ISO 27001 standards.
    Can I build custom fleet KPIs instead of using predefined dashboards?
    Yes. IoT Query is designed for custom analytics. You write your own SQL to define safety scores, fuel efficiency metrics, utilization rates, or any vertical-specific KPI. Adjust scoring weights, combine telematics with business data, and push results to any dashboard or reporting tool.

    Related pages

    Architecture & Governance
    Learn about PTL and security
    Analytics & BI
    Visualizing data with IoT Query
    Use Cases & Solutions
    Real-world applications
    IoT Logic
    Real-time telematics pipeline
    Dashboard Studio
    Custom fleet analytics inside Navixy