VISA Denial Analysis for the Global HR team of IT Organization

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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

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