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Client Overview

A leading healthcare provider aimed to enhance their data management and operational processes. With vast amounts of data across multiple sources and inefficient systems for managing appointments, referrals, and vaccine trials, the client required a comprehensive solution to centralize data, improve efficiency, and ensure robust analytics and security.

Challenge or Business Objective

  • Data Fragmentation: Over 100TB of dispersed data.
  • Operational Inefficiencies: Slow appointment scheduling, referral management, and lab sample monitoring.
  • Vaccine Trial Delays: Reward distribution took 30 days.
  • Data Security: High priority for managing sensitive data.

Strategy or Solution

  • Centralized Data Management: Migrated 100TB of data to a unified SQL server.
  • Real-Time Reporting: Implemented Power BI for real-time cooler temperature monitoring.
  • Process Automation: Improved appointment efficiency by 40% and automated referral commission distribution.
  • Accelerated Vaccine Trials: Reduced reward distribution time from 30 days to 3 days.

Development Method - Execution Method

  • Data Pipelines: Used Azure Data Factory for dynamic data mapping and processing.
  • Error Handling: Implemented procedures for managing data load successes and failures, with automated notifications via Azure Logic Apps.
  • Scheduled Data Loading: Managed daily data loads and secured credentials with Azure Key Vault.
  • Azure Functions and CDC: Developed functions for API data loading and a CDC mechanism for efficient data updates.
  • Polybase Implementation: Migrated to SQL Managed Instance for faster data loading and established date-wise storage conventions.

Impact We Made

  • Efficiency: Increased appointment booking efficiency by 40%.
  • Safety: Enhanced lab sample safety with real-time temperature analysis.
  • Speed: Reduced vaccine reward processing time from 30 days to 3 days.
  • Scalability: Enabled scalable data management for large volumes.

Tech Strategy

  • Azure Data Factory: Centralized migration and transformation.
  • CI/CD Pipelines: Streamlined development and deployment.
  • Lifecycle Management: Optimized storage with Azure policies.
  • Security: Managed credentials with Azure Key Vault.

Conclusion:

The project significantly improved the client’s data management and operational efficiency, demonstrating the effectiveness of Azure technologies in the healthcare sector.

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