Healthcare Services Company

Transforming Data Analytics to Protect $500K in Annual Revenues.

Learn how a leading healthcare GPO transformed its data analytics capabilities, protecting $500K in annual revenues through cloud migration and Medicare/Medicaid data integration. Discover how modernizing with Databricks unlocked critical insights and improved subscriber retention.

Services

Data & Insights

Industry

Health & Life Science

OVERVIEW

How Healthcare Data Analytics Transformation Protected $500K in Revenues

By modernizing their data analytics capabilities through a comprehensive cloud migration initiative, we helped a leading healthcare group purchasing organization (GPO) achieve transformative results. The client overcame critical challenges, including data access bottlenecks and subscriber retention risks, to unlock the full potential of their Medicare/Medicaid data.

Key outcomes included:

Automated CMS Data Processing: Reduced a year-long backlog to just 40 hours, enabling faster insights.
Subscriber Retention: Closed the capability gap with competitors, improving subscriber satisfaction and retention.
Data Integration Success: Enabled the integration of 16-20 terabytes of Medicare/Medicaid data, unlocking critical insights for consultants and subscribers.
Empowered Teams: Developers gained autonomy to manage their own infrastructure components, reducing reliance on cloud operations teams.
Modernized Data Platform: Initiated the migration to Databricks Unity Catalog, setting the stage for long-term scalability.

These results positioned the client to better serve their internal consultants and subscribers while maintaining a competitive edge in the healthcare market.

THE CHALLENGE

Overcoming Data Bottlenecks and Subscriber Retention Risks

The client’s Strategic Growth Unit faced significant obstacles in delivering timely analytics insights to healthcare subscribers and consultants. Their on-premise infrastructure created bottlenecks that hindered data access and impacted their ability to serve clients effectively.

These challenges were compounded by inefficiencies in team collaboration and outdated systems, leaving critical Medicare/Medicaid data untouched for over a year.

Key challenges included:

Infrastructure Inefficiencies: Collaboration gaps between development and cloud operations teams, along with multiple system logins, created delays.
Business Risks: Limited cross-subscriber data analysis capabilities and complex data decryption requirements blocked CMS data integration.
Competitive Pressure: Competitors’ integrated Medicare/Medicaid offerings threatened subscriber retention.
Siloed Architecture: A fragmented data system further impacted service delivery and modernization efforts.

Addressing these challenges was critical to unlocking the full potential of their data and maintaining a competitive edge in the market.

The Cost of Inaction

Without addressing these challenges, the client risked:

Losing $250K–$500K in annual revenues due to subscriber churn.
Failing to leverage 16-20 terabytes of Medicare/Medicaid data for actionable insights.
Falling further behind competitors with integrated Medicare/Medicaid offerings.
Continued inefficiencies in team collaboration, delaying critical analytics insights.

Download Our AI Guide

OUR SOLUTION

Cloud Migration and Medicare/Medicaid Data Integration

To overcome these challenges, we implemented a series of technical solutions while fostering better team collaboration. Drawing on our Data & Insights expertise, our approach focused on cloud migration and the integration of critical CMS data that had been stalled for over a year.

Key steps included:

Migration from On-Premise Spark to a Cloud-Native Databricks Platform: This modernized the client’s infrastructure and improved scalability.
Implementation of Azure Cloud Services: We deployed Serverless Compute Functions and Event Grid to streamline operations.
Automated Data Processing Workflows: These workflows reduced manual effort and accelerated data processing.
Development of CI/CD Pipelines: Automated pipelines for code promotion and cloud infrastructure components improved efficiency.
Code Refactorization for Databricks Unity Catalog Migration: This laid the foundation for future data platform modernization.

By modernizing their infrastructure and automating key processes, we empowered the client to unlock the full potential of their healthcare data analytics. Learn more about how our Data & Insights services can help your organization achieve similar results.

THE impact

Unlocking Insights and Retaining Subscribers

The impact of our solutions was immediate and measurable, addressing the client’s most pressing challenges and positioning them for long-term success.

Key impacts included:

Faster Data Processing: Automated CMS data processing reduced a year-long backlog to just 40 hours, enabling faster insights and decision-making.
Improved Subscriber Retention: By closing the capability gap with competitors, the client retained subscribers and improved satisfaction.
Operational Efficiency: Developers gained autonomy to manage their own infrastructure, reducing reliance on cloud operations teams and improving collaboration.
Data Integration Success: The integration of 16-20 terabytes of Medicare/Medicaid data unlocked critical insights for consultants and subscribers.
Future-Ready Platform: The migration to Databricks Unity Catalog set the stage for long-term scalability and innovation.

These results not only addressed the client’s immediate challenges but also ensured they remained competitive in the rapidly evolving healthcare market.

Technology

Scalable Solutions for Healthcare Analytics

We leveraged cutting-edge technologies to deliver scalable and future-proof solutions for the client’s healthcare data analytics needs. These included: