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Customer Success Story
Developed an End-to-End Data storage and Automated ingestion framework using AWS
Client
One of the largest QSR companies globally, generating over $40 billion in annual sales from more than 30,000 restaurants across 120 countries.
30,000
Restaurants
$40 billion
Annual sales
120
Countries
Business Challenge
- Fragmented datasets lacked real-time customer data for personalized campaigns.
- Ineffective use of insights for product innovation and engagement
- Customer history & support data needed consolidation for issue resolution
- Limited integration with delivery aggregators impacted speed insights
- Weak data foundation blocked advanced analytics adoption.
Business Objective
Planned to migrate and integrate data from various source systems including 3P vendors, customer data platforms, and POS systems
Sought to accelerate analytics-centric innovation in customer, store, and product initiatives
Customer history & support data needed consolidation for issue resolution
Targeted strategic initiatives to develop "ground-up" analytics capabilities
Focused on enhancing business growth, operational efficiency, and customer satisfaction and retention.
Approach
- Built a secure AWS data lake using Glue, employing a serverless and event-driven architecture.
- Integrated multiple data sources including POS, ERP, demographics, and API Gateway for comprehensive data ingestion.
- Established secure S3 data drop zones, utilizing Glue Crawlers for effective cataloging and partitioning of data.
- Implemented PII (Personally Identifiable Information) data zones to ensure secure handling and ETL (Extract, Transform, Load) processes.
- Enabled near-real-time analytics for insights into customers, stores, and products to support business intelligence.
- Monitored CI/CD pipelines using CloudWatch and Checkmk, triggering alerts for operational issues and ensuring system reliability.
- Managed operations with Confluence-based runbooks to facilitate monitoring and troubleshooting processes effectively.
- Employed Agile methodology for development, testing, and deployment, with progress tracked in ServiceNow to ensure transparency and collaboration.
Technology Components
AWS Services
Glue
Lambda
S3
Redshift
Snowflake
CloudWatch
Monitoring
CloudWatch
Checkmk
Data Integration
API Gateway
Glue Crawlers
ETL
AWS Glue
Pyspark
Project Management
Confluence
ServiceNow
Agile methodology
Transformational Effects
30%
Cost Saving
$100K+
Saved in License Costs
20%
Reduced issue resolution time
10+
Unique Data Products
- Achieved over 30% cost savings by switching to Reserved Instances for EC2 and EMR servers.
- Saved $100K+ in license costs by migrating workloads from Cloud ETL to AWS Glue and Informatica.
- Reduced issue resolution time by 20% through automated monitoring of Glue workloads.
- 10+ unique data products (Customer 360, Store 360, etc.) providing valuable insights for improving customer loyalty, engagement, and retention.
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