Canada
Puerto Rico
USA
Belgium
France
UK
India
Client Background
The client is a Big Data Platform centralizing payer, provider, and clinician data.
Client Need
The client’s acquisition strategy resulted in fragmented data across numerous independent systems, leading to data silos and inefficient replication; other challenges included:
Lack of unified data storage solution, hindering efficient data consumption and analysis across the organization
Need to support the development of new products, generate actionable insights, and enable AI/ML capabilities
Solution
We addressed these challenges by implementing the following solutions:
Unified Data Foundation: Built a centralized Data Lake Platform on AWS S3, powered by Apache Spark, to consolidate millions of transactions from diverse sources
Accelerated Tenant Onboarding: Developed a user-friendly Pipeline Development Kit, enabling quick integration of new data sources and accelerating data accessibility
Automated Data Pipeline: Implemented an Orchestration Development Kit using Apache Airflow, automating the scheduling and execution of AWS EMR data pipelines
Self-Service Data Access: Integrated with Elastic Search, developed generic data pipelines that enable end-users to extract and store their respective healthcare transactions easily
Realized Benefits
The implemented solutions yielded the following outcomes:
Enabled the client to leverage a diverse data asset totaling 4 petabytes, with cross-enterprise financial, operational, and clinical information, for deeper business insights
Achieved $400,000 in annual cost savings by implementing AWS S3 intelligent tiering and object lifecycle rules, optimizing data storage efficiency
The “Build Once, Use Multiple” framework accelerated operational efficiency, development, and onboarding
Established an authoritative source of large datasets, providing a solid foundation for integrated products, linked cross-functional data, and the enablement of machine learning and artificial intelligence capabilities
Tools & Technologies
AWS
Spark
Apache Airflow
Kafka
Elasticsearch
PostgreSQL
Dev Ops
GotLab
HashiCorp Terraform
Docker
Trending Success Stories
Modernizing Enterprise Data Warehouse for Smarter & Faster Healthcare Insights for a Leading Value-Based Caregiver
Implementing Data Lakehouse for a Leading Biotech Major for Faster, Deeper Insights
Reducing Legacy Data Costs While Migrating 12,000+ Tables to a Cloud-Native Platform
Modernizing Epic and EHR on Azure for Scalable, Secure Healthcare Operations
Ready to Innovate with Us?
Let’s Talk!
Connect with us on social media
Write to us at
[email protected]