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Development of a Custom Telematics Data Visualization and Scoring Platform for Insurance Applications
  1. case
  2. Development of a Custom Telematics Data Visualization and Scoring Platform for Insurance Applications

Development of a Custom Telematics Data Visualization and Scoring Platform for Insurance Applications

altoroslabs.com
Insurance
Automotive

Challenges in Building a Unified, Customizable Mobile Telematics Application Ecosystem

The client requires a suite of mobile applications built on a common SDK to collect and analyze telematics data for auto insurance purposes. The applications must be tailored to regional user needs across multiple countries and cities, while ensuring that modifications in one app do not impact others. Additionally, the client faces difficulties in maintaining a consistent development approach and implementing sophisticated, custom data visualizations, with no existing market-ready solutions available.

About the Client

A technology-driven insurance provider specializing in usage-based telematics solutions, with a focus on improving customer safety and personalized policy offerings across multiple regions.

Key Goals for Developing a Modular, Maintainable Telematics Application Suite

  • Develop a set of interoperable mobile applications using a shared SDK that can be customized for different regional and client-specific requirements.
  • Implement a flexible architecture that allows individual application updates without affecting others.
  • Create a unified development framework promoting code reuse, easier maintenance, and consistent quality standards.
  • Design and integrate sophisticated, customizable data visualization tools for telematics data analysis.
  • Build a scoring system to evaluate driving behavior, incentivizing safer driving through rewards or bonuses.
  • Achieve significant user adoption, with initial applications reaching 100,000+ installations and others maintaining steady download rates.

Core Functional System Features for Custom Telematics Applications

  • Shared SDK for building region-specific telematics mobile applications
  • Modular architecture enabling independent updates and customizations without cross-impact
  • Custom data visualization framework capable of rendering complex, explicit telematics data charts
  • Teardown and inheritance support for code base unification and maintainability
  • Driver profiling and scoring system based on telematics data
  • Integration of GPS and external data services for accurate location and incident tracking
  • User engagement features for delivering insights and rewards based on driving scores

Technology Stack and Architectural Preferences for Telematics Application Development

Android platform
Java programming language
RxJava for reactive programming
Google Play Services and Maps for location-based features
Facebook SDK, Picasso, MPAndroidChart, OkHttp for app functionality and UI
Code inheritance principles and modular design patterns for maintainability

Essential External System Integrations for Data and Functionality Enhancement

  • GPS and location services for real-time telematics data
  • External analytics and behavioral data sources
  • Notification and reward delivery systems
  • Third-party crash and incident reporting services

Performance, Security, and Maintainability Standards for the Mobile Telematics Platform

  • Scalable architecture supporting over 100,000 initial installations with room to grow
  • Robust data security and compliance with privacy regulations
  • High performance with minimal latency in data collection and visualization
  • Ease of maintenance through code reusability and clear inheritance hierarchies
  • Cross-region adaptability and localization support

Projected Business Benefits of the Custom Telematics Application Solution

The development of a modular, customizable telematics mobile application ecosystem is expected to enable the client to serve multiple regional markets efficiently, achieving extensive user adoption—initial applications expected to surpass 100,000 installations, with ongoing applications maintaining healthy download rates. Enhanced data visualization and scoring features will promote safer driving behavior, thereby reducing insurance claims and increasing customer engagement across diverse markets.

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