Leading Healthcare Franchising Company Transforms Decision-Making with Cloud Data Modernization

The client was navigating an accelerated growth phase, with 17 franchisees expanding into 28 new territories across the United States. This expansion presented an opportunity to modernize their decade-old on-premise Business Intelligence infrastructure and unlock greater value from their data assets. With over 380 franchise locations generating terabytes of operational data, the company recognized the potential to transform how they leveraged information for strategic decision-making.

The leadership team envisioned a cloud-based data platform consolidating franchise performance, employee records, and operational metrics into a single source of truth. This would enable real-time visibility and a scalable foundation for continued innovation. The company therefore sought a technology partner to centralize, automate, and scale its data environment for greater efficiency and insight.

• Built ELT pipelines using Azure Data Factory with incremental loading for optimized performance.
• Consolidated data from multiple sources including master files, databases, and external APIs.
• Implemented CI/CD practices for faster development cycles and reduced errors.

• Created single source of truth using Azure Data Lake Storage Gen2 with granular access controls.
• Addressed data quality issues related to structure, availability, and accuracy.
• Organized data hierarchy for efficient processing and retrieval.

• Enabled high-performance parallel queries for real-time insights.
• Deployed cost-optimized Azure SQL serverless warehouse processing terabytes of data.
• Standardized datasets across finance, customer, franchisee, and employee domains.

• Developed Power BI dashboards accessible on web and mobile with row-level security.
• Implemented comprehensive audit logging and created detailed data dictionaries.
• Rewrote and tested all stored procedures, removing bugs and simplifying logic.