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Discover a new level of enterprise fleet analytics with Navixy DataHub

Andrew M., VP of Data and Solutions
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Andrew M., VP of Data and Solutions

September 18, 2025
Enterprise fleet analytics DataHub

Navixy launches DataHub — a telematics analytics platform that provides direct, fast, and secure SQL access to telematics and business data. It is designed for comprehensive analytics and visualization in BI tools, integration with CRM/ERP/MRP systems, and development of client applications, including those based on ML models to turn data into practical solutions. Navixy DataHub enables enterprise fleets with 500+ assets to work with fleet and geo data seamlessly without APIs limitations.

Key takeaways

  • Direct SQL database access eliminates API limitations and rate restrictions, enabling unrestricted querying of complete telematics datasets.
  • High-performance lakehouse architecture provides access to raw sensor data, processed analytics, or business-ready metrics based on technical requirements.
  • Real-time BI integration connects any business intelligence tool or custom application directly to your private telematics database.
  • Zero infrastructure overhead provides enterprise-grade data capabilities without managing servers, ETL pipelines, or technical maintenance.

When fleet operators need to analyze driver behavior patterns alongside fuel consumption trends, existing systems force costly custom development or unreliable and limited exports via API. DataHub changes this dynamic by providing direct SQL access to complete telematics datasets through dedicated cloud databases. No API limits. No predetermined reports. Complete control over your operational data based on your needs.

Navixy DataHub launch unlocks transformative business opportunities through advanced data modeling and comprehensive analytics. It enables you to prevent breakdowns with predictive maintenance, optimize routes based on real-time traffic and driver patterns, stop fuel theft with anomaly detection in real-time, and create custom analytics that align perfectly with your operational priorities.

Contact us to discover the opportunities DataHub can unlock for your business.

Why are classic reports and dashboards not enough for comprehensive analytics?

Dashboards have become a default response to data needs. For many organizations, they offer a comforting illusion of control: color-coded charts, drilldowns, and weekly KPIs that promise insight.
But the reality is far more sobering:

  • Lack of context. Users don’t understand why an event happened, only that it did. The reason is dashboards change how data looks, not the way it’s structured, connected, or explored.
  • Too slow for daily operations. Raw access via APIs requires technical teams to write, manage, and maintain every query.
  • Disconnected from real-time data. Some teams export CSVs weekly to upload into Power BI, making “insights” stale, delayed, and error-prone.
  • High cost. Building and maintaining a warehouse, pipelines, and dashboards requires more investment than many mid-size fleets can afford.

Analytical systems in telematics must be agile enough to process a large volume of data, ranging from GPS coordinates and vehicle speeds to static information like vehicle parameters, driver details, and geozones. Still, many fleet management companies face challenges integrating this data with their business intelligence tools. Bridging this gap requires systems that are both powerful and user-friendly.

The time has come to change this mindset. Data is no longer just a passive resource for monitoring performance; it is an active driver of software, systems, intelligence, and automation. This is a call for a new paradigm — one that treats data as a living foundation for continuous innovation, not a static input for monthly reports.

What matters most: access, integration, and customization without compromise

At the foundation of any сomplex analytical capability lies one non-negotiable requirement: unrestricted access to quality data. But access alone is not enough. It must be meaningful: centralized, intelligible, and immediately usable. This is the vision behind Navixy DataHub. It is built to serve as a fully operational backbone for analytical intelligence, integration, and decision-making. And it delivers on that promise in three essential ways:

  1. Seamless access. You get full uninterrupted visibility into your data, from raw telematics inputs to refined, structured datasets. Whether you're querying GPS points or analyzing aggregated trends, the product gives you direct flexible pathways to explore and act on your information without limitations or intermediaries.
  2. Effortless integration. Your data should not remain trapped inside a single system. Navixy DataHub is designed for interoperability, easily connecting with BI tools, third-party solutions, and enterprise systems like CRMs or ERPs. Data flows securely and efficiently into the environments where it's needed most.
  3. Precise customization. Every organization works differently, and this is why the product puts control directly into your hands. Define your own filters, build tailored metrics, and create time-specific analyses. Whether you're monitoring a fleet, developing an internal app, or feeding a machine learning pipeline, the structure adapts to fit your needs.

In short, Navixy DataHub is all about enablement, turning your telematics data into a living, evolving part of your operations, tools, and strategy.

Introducing Navixy DataHub product as the core of the analytics system

To deliver true flexibility in analytics, reporting, and integration, we knew the foundation had to be reimagined. Instead of building reports on top of fixed templates or limited APIs, we started from the ground up with a full-fledged data infrastructure.

“Navixy DataHub is our answer to the growing need for personalized, accessible, and deeply insightful data analysis — offering unrestricted SQL access to detailed telematics and business data, all structured within an intuitive lakehouse architecture. Through DataHub, we're empowering teams to ask — and answer — their most strategic questions without constraints”. Danil Nezhdanov, CEO, Navixy

At its core, Private Telematics Lakehouse (PTL) is the technical backbone of Navixy DataHub. Unlike traditional data delivery models that rely on narrow endpoints or predefined exports, PTL provides each client with a dedicated cloud-based database.

This environment consolidates all relevant data (telematics streams, business context, and operational metadata) into a single queryable system. The data is processed through pre-configured ETL pipelines, ensuring it arrives clean, structured, and immediately usable.

The advantages of the solution:

  • Performance and responsiveness. With direct database access, analytics and integrations run faster and more reliably than through conventional APIs.
  • Scalability and flexibility. Whether you're working with historical data, real-time events, or predictive models, PTL handles large volumes and complex logic with ease.
  • Zero overhead. No setup or infrastructure to manage: everything is maintained and optimized as part of Navixy DataHub.

To keep this system robust, navigable, and tailored to user needs, the data is organized into a structured three-layer model. Each layer supports different teams and use cases across the organization:

Layer Data Audience Purpose
Bronze Raw data: GPS coordinates, sensor readings, geofence events, and system logs Data engineers, technical support teams, and application developers Immediate access to raw, unprocessed telematics data for tasks such as troubleshooting, anomaly detection, and custom integrations.
Silver Processed and structured datasets: raw inputs are cleansed, filtered, and logically grouped Data analysts and data scientists Use the layer to explore driver behavior, trip patterns, operational trends, and early-stage predictive insights. The structure is both consistent and customizable, making it ideal for advanced modeling and experimentation.
Gold Business-ready analytics: pre-aggregated forms of data — aligned with key metrics, business rules, and reporting logic Business analysts, operational managers, and executive decision-makers Executive dashboards, operational reports, and decision-making tools. No further transformation is required — the data is ready to use, straight out of the Navixy platform.

Use cases: how Navixy DataHub opens your eyes on business

The examples below demonstrate how Navixy DataHub can change the way you address your business needs, moving from real-time dashboards and historical reporting to fully customized data models.

Bronze layer: multi-parameter correlation and anomaly detection for operational insight

Traditional approach:
Analysis of vehicle performance or driver behavior is typically siloed — limited to isolated parameters (e.g., speed or fuel usage) and simple rule-based thresholds. This often misses hidden patterns, cross-parameter dependencies, and early warning signs of anomalies.

With Navixy DataHub:
By leveraging Bronze layer data — raw high-frequency signals such as RPM, throttle position, braking force, altitude, acceleration, and speed variation — and combining them with static context (such as vehicle make, model, and assignment), users can:

  • Perform multi-variable correlation analysis to uncover how combinations of signals affect performance (for example, throttle + altitude vs. fuel consumption)
  • Compare operational behaviors across drivers, vehicle types, or routes by analyzing distributions and deviation patterns of key attributes
  • Detect anomalies in real time or retrospectively by identifying outliers, unusual parameter combinations, or behavioral drift from established norms

Tangible difference with DataHub:
Early detection of abnormal behavior (e.g., engine strain during regular conditions) before it results in failure. More informed operational tuning, such as driver coaching, route optimization, or parameter-based vehicle allocation.

Silver layer: dynamic trips analysis for logistics managers including geofence visiting

Traditional approach:
Standard reports usually may show entry/exit timestamps for trips or geozones, but cannot correlate them across vehicles and drivers in real time.

With Navixy DataHub:
Using the Silver layer, logistics teams can build queries to analyze trip data with additional parameters, like idle time in trips vs geozones segmented by:

  • Time of day or day of week
  • Driver and/or vehicle category

Tangible difference with DataHub:
Helps logistics managers identify inefficient zones (e.g., long wait times at distribution centers) and optimize routes or delivery windows based on historical and live patterns.

Gold layer: custom KPI dashboards for cross-border fleet operations

Traditional approach:
Fleet managers operating across multiple countries or regions struggle to build consistent dashboards due to localized formats, data silos, or language barriers.

With Navixy DataHub Gold layer:

  • Normalize data across geographies (units, time zones, currencies)
  • Build custom dashboards filtered by country, legal entity, or regional office
  • Generate consistent KPIs like fuel efficiency, idle time, and delivery time accuracy across all units

Tangible difference with DataHub:
DataHub enables regional comparison, benchmarking, and unified operational control in multi-national operations.

Wrapping up: a path to agile and custom analytics

Navixy DataHub is only the beginning of a new initiative designed to make telematics data more accessible. Today's Bronze layer, the hub's foundational component, launch provides the foundational component, delivering practical applications for raw telematics data with case studies appearing soon on our blog.

As we expand and refine data layers we empower enterprise customers to become informed decision-makers. Navixy DataHub transforms organizations from data consumers into owners of actionable insights, enabling meaningful, data-driven decisions that drive real impact.

Ready to implement unrestricted analytics for your fleet operations? Contact Sales to discuss DataHub implementation specific to your operational requirements and existing system architecture.