Aravo Solutions Case Studies Transforming Urban Mobility with IoT: A Case Study on Intelematics

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	Transforming Urban Mobility with IoT: A Case Study on Intelematics Aravo Solutions

Transforming Urban Mobility with IoT: A Case Study on Intelematics

Aravo Solutions

Technology Category	Analytics & Modeling - Real Time Analytics Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Construction & Infrastructure Transportation
Applicable Functions	Logistics & Transportation Procurement
Use Cases	Traffic Monitoring Transportation Simulation
Challenge	Intelematics, an Australian real-time traffic information provider, was grappling with the challenge of synthesizing massive amounts of data from various traffic and mobile sources. The company's ability to provide insights from historical and real-time traffic trends relied on converting 12 billion rows of traffic data into actionable insights. However, the native systems previously used were tedious and laborious, hampering speed, efficiency, and collaboration across different teams. The company recognized the need to move away from its legacy on-premises infrastructure to keep up with increasing customer requests. The challenge was to process 12 billion road traffic data points every 30 seconds, sourced from millions of sensors and IoT devices on commercial and private vehicles. The native systems impeded the speed and efficiency of the data pipelines used to process bulk data in real time, such as traffic patterns, vehicle movements, and extensive monitoring data. Read More
About Customer	Intelematics is an Australian real-time traffic information provider that offers game-changing solutions for traffic and transport professionals. The company provides traffic data covering more than 40,000km of NSW and Victorian roads across the states’ road networks. Its core mission is to make mobility safer, faster, and more sustainable by delivering high-quality traffic data at greater speed. Intelematics has multiple products under its core business and serves its customers via its INSIGHT web portal. The company is recognized as one of Australia’s leading traffic information providers. Read More
Solution	Intelematics turned to Databricks Lakehouse to unify its data, analytics, and AI workloads. This move allowed the company to create better workflows and foster greater collaboration across its data teams, enabling it to meet customer demands more efficiently. As a fully managed platform, Databricks Lakehouse helped Intelematics overcome complex analytics and ETL processes, significantly simplifying how it handles bulk data and processing. This reduced the time needed to understand the whole data architecture and respond to customer needs more efficiently. The lakehouse architecture made it easier for team members to manage the infrastructure, build highly performant data pipelines for downstream analytics, and create an environment that affords greater shareability and transparency across teams. With Databricks Lakehouse, Intelematics was able to streamline its processes, encourage cross-collaboration with non-technical functions across its departments, and deliver traffic data and insights for its customers at a greater speed via its INSIGHT web portal. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Construction & Infrastructure

Transportation

Applicable Functions

Logistics & Transportation

Procurement

Use Cases

Traffic Monitoring

Transportation Simulation

Challenge

Intelematics, an Australian real-time traffic information provider, was grappling with the challenge of synthesizing massive amounts of data from various traffic and mobile sources. The company's ability to provide insights from historical and real-time traffic trends relied on converting 12 billion rows of traffic data into actionable insights. However, the native systems previously used were tedious and laborious, hampering speed, efficiency, and collaboration across different teams. The company recognized the need to move away from its legacy on-premises infrastructure to keep up with increasing customer requests. The challenge was to process 12 billion road traffic data points every 30 seconds, sourced from millions of sensors and IoT devices on commercial and private vehicles. The native systems impeded the speed and efficiency of the data pipelines used to process bulk data in real time, such as traffic patterns, vehicle movements, and extensive monitoring data.

About Customer

Intelematics is an Australian real-time traffic information provider that offers game-changing solutions for traffic and transport professionals. The company provides traffic data covering more than 40,000km of NSW and Victorian roads across the states’ road networks. Its core mission is to make mobility safer, faster, and more sustainable by delivering high-quality traffic data at greater speed. Intelematics has multiple products under its core business and serves its customers via its INSIGHT web portal. The company is recognized as one of Australia’s leading traffic information providers.

Solution

Intelematics turned to Databricks Lakehouse to unify its data, analytics, and AI workloads. This move allowed the company to create better workflows and foster greater collaboration across its data teams, enabling it to meet customer demands more efficiently. As a fully managed platform, Databricks Lakehouse helped Intelematics overcome complex analytics and ETL processes, significantly simplifying how it handles bulk data and processing. This reduced the time needed to understand the whole data architecture and respond to customer needs more efficiently. The lakehouse architecture made it easier for team members to manage the infrastructure, build highly performant data pipelines for downstream analytics, and create an environment that affords greater shareability and transparency across teams. With Databricks Lakehouse, Intelematics was able to streamline its processes, encourage cross-collaboration with non-technical functions across its departments, and deliver traffic data and insights for its customers at a greater speed via its INSIGHT web portal.

Impact #1	The implementation of Databricks Lakehouse has unlocked operational efficiencies and new opportunities for Intelematics' entire data organization. It has fostered better collaboration with the rest of the business and enabled real-time decision-making to serve its customers quicker. The simplified and unified lakehouse has made it easier for Intelematics to access huge traffic data sets to unlock traffic insights for its customers. This continuous development supports customers with quality traffic insights so they can make more informed decisions to increase road safety and efficiency. The significant amount of time saved has allowed Intelematics to better leverage the data it has across its product teams, generating a world of possibilities for the kinds of products and services it can create to empower mobility.

Impact #1

The implementation of Databricks Lakehouse has unlocked operational efficiencies and new opportunities for Intelematics' entire data organization. It has fostered better collaboration with the rest of the business and enabled real-time decision-making to serve its customers quicker. The simplified and unified lakehouse has made it easier for Intelematics to access huge traffic data sets to unlock traffic insights for its customers. This continuous development supports customers with quality traffic insights so they can make more informed decisions to increase road safety and efficiency. The significant amount of time saved has allowed Intelematics to better leverage the data it has across its product teams, generating a world of possibilities for the kinds of products and services it can create to empower mobility.

Benefit #1	Reduced time to understand the whole data architecture and respond to customer needs more efficiently.
Benefit #2	Streamlined data processing and management capabilities.
Benefit #3	Enabled processing of 12 billion road traffic data points every 30 seconds.

Benefit #1

Reduced time to understand the whole data architecture and respond to customer needs more efficiently.

Benefit #2

Streamlined data processing and management capabilities.

Benefit #3

Enabled processing of 12 billion road traffic data points every 30 seconds.

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Overview

Transforming Urban Mobility with IoT: A Case Study on Intelematics

Operational Impact

Quantitative Benefit