CASE STUDY • Prescription Enterprise

How a Leading Prescription Processing Enterprise Accelerated Pharmacy Analytics with Modern Data Stack

Industry

Healthcare & Life Sciences

Our Contributions

AI Foundation & Data Readiness, Data Governance & Quality Management, Cloud-native AI Platform Engineering, Modernization & Migration, Intelligent process design

The Challenge

Our client, a prescription processing enterprise serving individual and chain pharmacies throughout the United States, was stuck with data infrastructure that couldn't keep up with their growth. They needed to deliver analytical insights through their Software as a Service platform, but their existing systems were holding them back from helping pharmacies make better decisions.

How We Did It

How We Did It Encora partnered with this prescription processing leader to build a composable data infrastructure that could scale with their diverse pharmacy network. Recognizing they needed modular components that could be reconfigured for different pharmacy types and sizes, we created a modern data stack using cloud-native architecture. The mission? Transform their platform into a flexible system that could deliver tailored insights to any pharmacy setup.

Product Management

We established project oversight with standardized processes that adapt to different pharmacy requirements, maintaining focus on scalable business solutions for diverse pharmacy configurations.

Composable Modern Data Stack Implementation

We built modular data components for flexible data collection, warehousing, and reporting that can be reconfigured for individual pharmacies or large chains as needed.

Product Development & Automation

We created adaptable automated workflows with modular data processing, comprehensive testing, and streamlined deployment that scales across different pharmacy setups.

The Result: Lightning-Fast Analytics Supporting Thousands of Pharmacies

Encora helped the client build a composable modern data stack that transformed how they serve the pharmacy industry.

99.4%

Reduction in Initial Data Migration Time

99.1%

Reduction in EDW Processing Time

Faster initial data migration cutting processing from 1800 minutes to just 12 minutes
Faster EDW processing reducing analytics time from 780 minutes to 7 minutes
350+ pharmacy chains supported with data from over 15,000 individual pharmacies
Targeted query performance with a data warehouse half the size of competitors
Cost reduction through improved operations including better medication use and prescriber database support
Enhanced technician utilization by identifying top performers in low-error pharmacies
Unified interface for streamlined database management across diverse pharmacy needs
Real-time insights enabling pharmacies to make better clinical and financial decisions

The client went from struggling with rigid infrastructure to having a flexible platform that can quickly adapt to serve any pharmacy configuration.

The Bottom Line

With fast processing and flexible architecture, the client can now deliver tailored insights that help pharmacies of all sizes operate more efficiently.

What once took hours now happens in minutes, and what once required custom solutions can now be quickly configured. This organization isn't just keeping up, they're built to rapidly adapt as new pharmacy models emerge.