Case Study: Large Pharma Company reduces clinical trial site selection time with Mu Sigma

Improving clinical trial site selection for a large pharma company

Mu Sigma worked with a large pharmaceutical company that needed a better way to select clinical trial sites. The customer’s existing process relied heavily on gut-based decisions and lacked easily consumable data, making it difficult to identify sites with enough patients, strong medical facilities, and consistent performance across studies.

Mu Sigma built an exception-based visualization dashboard using a centralized data mart, combining internal trial data with external site characteristics. The solution ranked and scored sites, analyzed key performance drivers, and highlighted exceptions to flag low-performing sites early. As a result, the time required for clinical trial site selection was reduced by one-third, and the quality of selected sites improved significantly.