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Business Impact

  • 70%

    Reduction in production release time

  • 50%

    Reduction in infrastructure cost

Customer Key Facts

  • About : World's leading Car-as-a-Service company
  • Size : 7,000+ Employees
  • Location : Amsterdam, The Netherlands
  • Industry : Automotive

Problem Context

LeasePlan, a specialized vendor in automobiles leasing and fleet management, had an in-house system where telematics data for each vehicle leased is collected in a time frame of 24 hours, pushed into a warehouse, and used to generate summary charts. This existing system does not provide for capability of real-time analytics.

Challenges

 

  • Streaming data was a pull model and not a push model. For example, the data had to be fetched from a central server rather than individual lot devices
  • No consistency in data capturing and data schema
  • Multiple data sources existed

Technologies Used

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

Digital Fleet Management Capability

LeasePlan’s vision was to enable real-time tracking so that they have direct control of their vehicles while they are en route; enabling them to make better decisions and improve customer and asset service.

Solution

Quantiphi built a highly scalable, fully managed, secure and cost-efficient platform capable of syncing with the existing functionalities as well as adapting to enhance features, such as real-time analytics with single click deployment. We delivered a fully automated infrastructure using serverless and managed AWS services, which not only decreased production deployment time, but also reduced infrastructure cost by 50 percent.

A foundational framework over the cloud was also developed which included setting up VPCs, implementation of IAM roles and policies, and securing the platform by configuring different subnets and security groups and enabling encryption at rest. An integrated development environment was designed on AWS using CICD configuration for agile development which helped the development team make faster validation of changes and reduced the feedback loop. Leveraging principles like Continuous Integration & Continuous Deployment, Infrastructure-as-a-code, and test-driven development helped to ensure proper quality and reduction in production release time by 70 percent.

Results

  • A fully digital, cloud enabled and flexible platform with an automated end to end pipeline for real time analytics & business insights.
  • Deeper Data Insights
  • Ad-hoc Analysis
  • Generate Insights for individual workflows
  • Modular
  • 50% Cost reduction

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