VISA Denial Analysis for the Global HR team of IT Organization
Abdul September 6, 2020
Talent Analytics
Problem Statement
- The likelihood of Visa rejection of its associates
- Reasons for high denial rate in one type of visa vs. other
- Identification of the sections where rejection chances are high
Analytics Led Approach
Build predictive models for visa rejection pattern across various visa types and countries
Identify group visa rejection across bands, BU and experience.
Identify factors impacting visa rejections for various Bus
Business Impact
Separate prediction models for 2 kind of VISA types with concordance ranging from 67% to 70%
Actionable results were in below form
Critical Success Factors
- Model prediction of sending top 20% of the Visa Applications as per model, only 13.4% Applications will be rejected compared to 34.2% of overall rejections