Client
One of the leading medical technology companies, this client provides imaging equipment, monitoring devices, and analytics solutions to enhance patient care and operational efficiency
Business Challenge
- Required modernization of fragmented datasets to facilitate seamless integration of real-time health data
- Aimed to enhance the effective use of data and insights for driving product innovation
- Sought consolidation of purchase history, surveys, and call center records to improve customer issue resolution capabilities
- Needed enhanced integration with 3rd-party delivery services to gain valuable insights into speed and fulfillment
- Desired a robust data foundation to unlock the potential of advanced analytics use cases.
Business Objective
Client aimed to enable analytics for omni-channel sales and marketing:
- 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
- Designed a modern analytics platform using AWS best practices with a secure foundation based on HVR and AWS services
- Leveraged loosely coupled AWS services for scalability as client analytics needs evolve
- Utilized serverless, event-driven architecture for near-real-time data processing to S3, Redshift, and Snowflake
- Integrated diverse data sources, including IoT, unstructured data, demographics, ERP, and POS data
- Analyzed real-time customer data to enhance engagement through personalized campaigns
- Used customer insights for product innovation & improved resolution of issues through consolidated records
- Developed 360-degree analytics for comprehensive insights into patients, customers, stores, and products
- Enabled advanced analytics use cases for sustainable growth while ensuring compliance and secure handling of PII data
Technology Components
- Data Integration: HVR, AWS Glue, Lambda
- Data Warehouse: Redshift
- Storage: AWS S3
- Data Processing: AWS Glue, Spark
- Data Governance: Collibra
- Monitoring: CloudWatch, SNS
Transformational Effects
- Achieved over 40% cost savings by switching to Reserved Instances for EC2 and EMR servers.
- Automated server provisioning cut new customer onboarding time by 75%.
- Reduced issue resolution time by 20% through automated monitoring of Glue workloads
- Enabled 10+ unique data products (Customer 360, Store 360, etc.) providing valuable insights for improving customer loyalty, engagement, and retention
