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Comprehensive AWS Data and Analytics Solution​
Customer Success Story

Comprehensive AWS Data and Analytics Solution​

Comprehensive AWS Data and Analytics Solution​

Client

A leading provider in the waste management sector, delivering solutions for efficient waste collection, recycling, and disposal to enhance operational efficiency & sustainability.​​

Business Challenge

  • Unintegrated data sources cause scattered reporting and manual consolidation.​​
  • Decentralized platform hinders data management and access control.​​
  • Manual data processes lead to delays and inconsistencies.​​
  • Disjointed platform needs modernization for real-time fleet data.​​
  • Lack of advanced analytics limits proactive decision-making.​

Business Objective

Consolidate diverse data sources into an AWS S3 data lake for a single source of truth.​​
Leverage Amazon S3's scalability and durability for efficient data storage and management.​​
Utilize AWS analytics services for big data processing and machine learning capabilities.​​
Enable real-time data ingestion and processing​​
Enhance decision-making through insights from KPI’s and optimized operations.​​

Approach

  • Delivered a fully-integrated, AWS-native data and analytics platform for real-time decision-making.​​
  • Designed the platform following AWS's Well-Architected Framework for a secure data foundation.​​
  • Built a robust data lake using AWS Glue for seamless data integration & management.​
  • Implemented serverless, event-driven architecture with AWS Lambda for automated data processing.​​
  • Integrated diverse data sources, including IoT, fleet management, & ERP systems.​​
  • Utilized AWS Glue to catalog datasets for efficient metadata analysis & schema management.​
  • Developed 360-degree analytics around customers, vehicles, and drivers using AWS services.​​
  • Monitor performance and costs with CloudWatch for proactive infrastructure management.​​

Technology Components

Compute
AWS Lambda AWS Glue
Data Integration
AWS Glue AWS CodePipeline
Storage
Amazon S3 Amazon Redshift
Analytics
Amazon Athena Amazon QuickSight
Monitoring
Amazon CloudWatch

Transformational Effects

25%

Cost Saving

$80+

Saved in License Costs

40%

Reduced issue resolution time

30+

Reduced operational costs

  • Achieved over 25% cost savings by utilizing Amazon S3 intelligent Tiering for data storage, cleaning & curation​​
  • Saved $80K+ in license costs by migrating workloads from Cloud ETL to AWS Glue and Kinesis​​
  • Reduced issue resolution time by 40% through automated monitoring of Glue workloads​​
  • Reduced operational costs by an estimated 30% via adoption of serverless technologies​​

Ready to Transform Your Data Platform?

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