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.
Industry
Healthcare
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.
Solution
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