Business Impact

  • 50% reduction in monthly costs

  • Improved safety

  • Track vehicle movement

  • Improved maintenance

Customer Key Facts

  • Location : United States
  • Industry : Automobile leasing and fleet management

Problem Context

LeasePlan, an international company in automobile leasing and fleet management, had an in-house platform where telematics data for each leased vehicle was collected in a time frame of 24 hours, pushed into a warehouse, and used to generate summary charts. This existing system did not provide real-time analytics.


  • Streaming data was a pull model and not a push model
  • No consistency in data capturing and data schema
  • Disparate data sources

Technologies Used

AWS Lambda
Amazon S3
Amazon SQS
Amazon Athena
Amazon Glue
Amazon DynamoDB
AWS CloudFormation
Amazon Kinesis Data Firehose
Amazon Kinesis Data Analytics

Digital Fleet Management Capability


Quantiphi built a highly scalable, fully managed, cost-effective platform capable of syncing with existing functionalities while also adapting to enhance features such as real-time analytics with visibility into each stage of data processing.

Key Features

  • AWS Lambda is leveraged to pull raw telematics data seamlessly from the Internet of Things (IoT) devices installed in the fleet to AWS in real time
  • Telematics data is extracted from IoT devices and buffered into Amazon Kinesis Data Firehose, containing diagnostic-level data such as oil pressure and battery life percent
  • Amazon Kinesis Data Analytics analyzes the events in the combined raw data by parsing them and then generates event logs data in a near real-time mode
  • Different data points extracted from the processed data for summarization are tire pressure, average miles per hour, average miles per gallon, and total trip distance

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