Our client is a key global player in mapping and navigation, empowering OEMs, enterprises, smart cities, and intelligent transportation systems worldwide with innovative cloud-based location solutions. For the company, putting their location data to work was a tough challenge. They realized that raw data generated by sensors could become more valuable when turned into visuals that are easier for people to grasp.
Our client has taken on the mission of creating a full data ecosystem for location-based, real-time data services. Their ambition for the platform has been to provide:
- A comprehensive library of highly accurate, on-time, and reliable location-related data
- A strong technology foundation for companies and developers to build location-enriched, data-driven services and solutions
- Accelerated development and time to market of groundbreaking location-centric products
- A hub for global location data exchange, interaction, and enrichment
- A powerful framework for geodata processing and sophisticated analytics
Through years of working with routing, mileage, mapping, and navigation solutions, Intellias has accumulated extensive expertise in location-based systems. It was a natural choice for our client to select us as their technology partner to tackle these challenges.
Powered by location intelligence, our client’s solution is now an open B2B cloud-based big data analytics platform that has become the go-to tool for major location players and the powerhouse behind hundreds of data-rich applications. Our client continues to expand their platform’s capabilities. The next step is to implement and finalize efficient data visualization.
For over two years, Intellias has been contributing to the development of a data visualization service for our client’s location platform. We started out with a team of four, and as the project gained momentum, we grew to a ten-strong team. The concept debuted as a pilot project to build 3D maps with the help of vector graphics. Initiated by our client’s Chief Technical Officer, the project was later handed over to Intellias engineers to build on the existing rendering engine library.
Our primary goal was to create a proof of concept (PoC) to demonstrate how the solution can add value by visualizing location-centric data in a vector format. We spent the first four months developing this use case and came up with a demo that won high acclaim during internal presentations held by all departments of our client’s organization. Our next important milestone was to implement the product-level solution.
The platform provides several key data visualization components:
- Catalogs and layers – All geospatial data is organized into catalogs containing layers. These layers represent different types of data and can be overlaid to construct a complete digital map. Layers are also used to segment data based on semantics. For example, a catalog can contain a map that includes layers for road attributes, topology, and signs.
- Notebooks – Data analysts can do ad hoc development and data analysis using a notebook and a web-based environment to transform and analyze data. Notebooks help data scientists build machine learning algorithms to make customized routing recommendations based on current conditions.
- Visualization library – This is a TypeScript library for rendering 2D and 3D data on a map to make sense of large sets of geospatial data and identify gaps in data coverage.
Last year, our client showcased their capabilities at the world’s largest technology show, CES 2018. The open location platform received positive feedback from industry insiders and influencers as a compelling product not only for automakers but also for organizations from any industry that relies on geolocation data and services, including insurance, logistics, IoT, machine learning, retail, and urban planning.
The solution we’re developing brings these advantages to our client:
- Provides access to highly accurate, rich, and up-to-date location-related content and services, including built-in map matching, geocoding, routing, and weather and traffic data
- Supports the development of world-class, location-centric applications
- Establishes a secure and scalable marketplace that simplifies data exchange within the ecosystem and speeds up time to market
- Allows users to manage their data visibility and control privacy and licensing
- Provides critical information that autonomous vehicles need to maintain road safety
- Offers an environment to perform interactive data analysis and develop machine learning models