Azure Cloud Migration

Case Study Healthcare

A leading healthcare non-profit leverages our Cloud solution to modernize applications, driving innovation and reducing spend.   


Our client wanted to consolidate legacy systems supporting four disparate business units into a single solution using an Azure platform. In addition, the client needed a solution that would be flexible enough to migrate data from projected future acquisitions. They needed a proof-of-concept for a scalable solution within a nine week timeframe related to design, build, test, and deploy. 

Pipeline Design Increased Velocity for Future


Our engagement team deployed a team of cloud engineers and business systems analysts to design, build, test, and deploy an Azure platform proof-of-concept. Our team conducted the below activities as part of our solution: 

  • Our business systems analysts partnered with each of the business unit leads to define and create a system-to-target data map. This effort included creating mock data for testing data flows to support the future acquisitions. 
  • One of our lead architects worked with the client principals to define the highest value business objectives to demonstrate a viable and robust solution. 
  • Our ETL developers used metadata in the pipeline designs, which provided for rapid scaling with reduced friction. 
  • To track and monitor batch loads, we also created a custom notification solution which sent processing status updates to the relevant business owners and client technical leads. 


Our team delivered the following results   

  • We delivered the Cloud proof-of-concept eight weeks, ahead of targeted nine weeks. 
  • The metadata pipeline design increased the velocity of subsequent pipeline deployments. 
  • The time savings allowed the client to harden the POC and get an early start with follow-on migration activities. 
  • The custom code our team developed added significant value, as it provided the client with an early e-mail warning protocol targeted to towards acquisition data transfer issues. 

As a result of the quality of our output, our team was scaled and extended to deliver the full migration effort.