Unlocking Fast, Trusted Insights for a National Pharmacy Network

A national pharmacy platform supporting more than 6,000 pharmacies and 300,000 users was struggling to keep pace with increasing data demands. Its aging ETL processes and significant data lag made it difficult to deliver timely, accurate business insights to users.

Scalence stepped in to modernize the platform’s data architecture. By introducing optimized pipelines, real-time integration, and scalable infrastructure, we helped the client create a foundation for faster and more reliable analytics, turning data into a true business enabler.

See how Scalence tackled data management and security for healthcare by migrating sensitive data to a private cloud in this healthcare data migration case study.

Delayed Decisions Due to Data Silos and Outdated Systems

The client’s legacy environment was becoming a roadblock to growth. Its data processing depended on more than 40 DTS packages, which were prone to frequent failures and time-consuming fixes. These breakdowns created data latency, delaying critical financial and purchasing insights.

Scalence also helped another organization modernize legacy data center infrastructure for improved scalability and compliance in this storage network transformation case study.

For pharmacists relying on timely information to guide decisions, visualization delays often meant working with outdated or incomplete data. Altogether, the system not only slowed down day-to-day operations but also created rising costs and operational inefficiencies. To overcome these challenges, the pharmacy network needed a modern data solution that would eliminate failures, reduce latency, and provide business leaders and pharmacists with insights they could trust in real time.

Future-Ready, Integrated Analytics Ecosystem

Scalence addressed the problem through a carefully designed two-phase modernization approach. In the first phase, we focused on stabilizing and optimizing the client’s ETL processes. By introducing a dedicated UAT data hub, integrating with SAP HANA, and scaling compute resources, we ensured that the system delivered stronger performance and reliability.

In the second phase, we moved the focus toward long-term scalability by centralizing data on Snowflake. This involved creating feature-specific micro-databases and setting up bi-directional master data flows for flexibility across business functions. Together, these improvements transformed the platform into a modern, high-performing ecosystem capable of meeting current and future data needs.

Fast, Reliable Decision-Making Across the Network

The pharmacy platform experienced a major improvement in performance and reduced technical issues. ETL failure rates decreased by 90% and financial insights became 30% faster and more accurate. This transformation boosted the team’s confidence in daily operations and provided decision-makers with timely information.

Most importantly, the network of over 6,000 pharmacies enjoyed increased reliability and smoother operations, enhancing client satisfaction and trust in the platform’s ability to support future growth.

If you’re looking for more information on pharmacy analytics transformation or want to discuss your own data challenges, connect with us at  inquiries@scalence.com.

Read more related success stories and resources on our case studies page.