Anomaly Detection

Share on twitter
Share on facebook
Share on linkedin
Share on whatsapp
Share on email

Talent Analytics

Problem Statement

  • Expense reports for reimbursement are created under different allowances categories. Expense report goes to pre-pay auditor for approval.
  • Currently, PPA is expected to review all the reports irrespective of the transactional amount.
  • Aim of the study is to identify the rules for outlier reports to reduce workload on pre-pay auditor.

Analytics Led Approach

  • Use analytics to uncover compliance and fraud in internal transactions to enable prepay auditors to improve compliance and reduce loss.
  • Outlier removal based on the  historical approval and rejections patterns of the prepay auditor

Business Impact

  • Patterns identified and new business rules obtained from the analysis.
  • Establish rules to be implemented in the system based on transaction amount, expense type and associate profile.

Critical Success Factors

  • Data process analysis
  • Fraud and rejection pattern formulation
  • Bucketing Expense Report on risk factor
  • Business rule to predict behavior of an expense report

    XTechalpha: Launching a “next-in class“ platform of exponential technologies: AI, Blockchain, Cloud, Cybersecurity, IoT & emerging segments: GCCs, Startups and Academic Institutions & Edtech accentuated with an enviable line up of proven and seasoned thought leaders bringing together and ensemble, curated content, networking interventions and learning enhancement. A must visit primer for GIC heads, Technology leaders, Exponential technologies enthusiasts, Academic deans and Entrepreneurs.

    Watch the Launch video:

    XTechalpha: reimagine your THINKING