Success Story

Clinical Epidemiology Research study

Reduced data identification time to 50% for the client. Enabled the client to focus on the statistical analytical plan by improving the process efficiency of epidemiology research study.



Business Problem

The Data Identification process for Epidemiology Research study takes 80% of the time of the entire study. Hence, the business seeks a solution to improve the process efficiency.


SAS / R programming based semi-automated macros developed to reduce tedious data processing

Business Outcomes

Eradicated time-consuming repetitive process and reduced overall data identification time to 50% thereby increased focus towards a statistical analytical plan

Scope of Engagement

One Year

Services Provided

Business Intelligence, Advanced Analytics

Technology Used

SAS/STATS, Amazon Redshift, R Programming