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Modernized Data Operations with Azure Cloud for a Global Med-Tech Leader

Modernized Data Operations With Azure Cloud for a Global Med-Tech Leader

Overview

 A global med-tech leader renowned for supplying high-tech and medical products across over 160 offices worldwide faced a pressing need to modernize its legacy data integration systems. Their goal was to migrate to Azure Cloud and build a Modern Data Platform that could generate advanced insights and analytics, improving overall operational efficiency and security. ACL Digital was chosen to drive this transformation by employing Microsoft’s reference data warehousing and analytics architecture.

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    Challenges

    Complex Cloud Environment

    Multiple data repositories lacked a unified view (Single Source of Truth)

    Complex Cloud Environment

    Analytical models were not reusable, limiting scalability

    Complex Cloud Environment

    The absence of technical documentation for legacy systems/tools complicated migration

    Complex Cloud Environment

    Regional systems and tools operated in silos, making integration cumbersome

    Complex Cloud Environment

    Data access and security protocols were missing

    Complex Cloud Environment

    Integrating new data sources often resulted in duplicate system integrations

    Complex Cloud Environment

    No governance mechanism existed for data quality validation during integration

    Outcomes

    Leverage the data for clinical and operational decisions to support and deliver value-based healthcare

    Cost Savings

    Optimized cloud services reduced operational costs by approximately $50,000

    A configuration-based tool was developed to efficiently aggregate data from various regional ERP systems into Azure storage

    A unified data model was established, improving downstream processes and analytics capabilities

    Multiple dashboards were created for operations, commercial, and quality assurance teams, helping them track critical metrics like inventory and data quality in real-time

    Outcomes

    Leverage the data for clinical and operational decisions to support and deliver value-based healthcare

    Cost Savings

    Optimized cloud services reduced operational costs by approximately $50,000

    A configuration-based tool was developed to efficiently aggregate data from various regional ERP systems into Azure storage

    A unified data model was established, improving downstream processes and analytics capabilities

    Multiple dashboards were created for operations, commercial, and quality assurance teams, helping them track critical metrics like inventory and data quality in real-time

    Benefits

    Leverage the data for clinical and operational decisions to support and deliver value-based healthcare

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