VISA Denial Analysis for the Global HR team of IT Organization

3AI 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