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Cloud Adoption, Microsoft Azure, Power BI

Building a Scalable and Resilient Azure Cloud Foundation for an Agri-Healthcare Benefits Provider

Building a Scalable and Resilient Azure Cloud Foundation for an Agri-Healthcare Benefits Provider

About the client

The client is one of the leading providers of employee benefits to members of the agri-business community, working with organizations ranging from small family farms to larger corporate agricultural businesses. As a recognized leader in the life sciences domain, the client delivers unique healthcare and agri-food technology solutions, offering services from acute and episodic care to disease management and prevention. 

Client challenges

The client’s on-premise servers faced ongoing performance issues that were beginning to impact revenue, as slow systems limited the organization’s ability to respond to member and provider needs in real time. 

The existing infrastructure could not scale to meet growing demand and carried high maintenance costs, straining IT resources. A rigid reporting system further limited the client’s ability to generate data-driven insights, making it difficult to support strategic decision-making across the business. 

Solution

  • LevelShift conducted a full infrastructure assessment and migrated the client’s environment to Microsoft Azure. 
  • Oracle data and SSRS reports were migrated to Azure SQL Database, establishing a modern, scalable foundation. 
  • All existing Power BI and SSRS reports were repointed to the new cloud database with no disruption to end users. 
  • Data was seamlessly migrated to ensure secure transfer while maintaining integrity and compatibility across systems. 

Benefits

  • The client gained a flexible, scalable infrastructure that adjusts to demand, eliminating prior performance constraints and contributing to a 30% optimization in licensing cost. 
  • Security, compliance, and disaster recovery capabilities were enhanced across the environment. 
  • The new cloud foundation supports advanced AI and Machine Learning services for future growth, contributing to a 55% improvement in automation efficiency. 

Technology

Oracle, Microsoft Azure, Power BI, VNet, SQL Server Reporting Services 

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