Results and KPIS

-8% reduction in cost of risk

for a tier 2 bank

ADVANCED ANALYTICS FOR ORIGINATION PROCESS

New scoring models developed using traditional methodologies Enriched knowledge through open banking data ML-based credit policies design, aiming at reducing the manual review area while letting the traditional model still manage the majority of rejection cases

  • Advanced Analytics
  • Open Banking

  • -6 %

    Manual application review

  • +10 points

    Automation level

for a tier 2 bank

PREDICTIVE ANALYTICS AND STATISTICAL SCORECARDS

CRIF's consulting and predictive analytics teams provided statistical scorecards Used CRIF proven methodologies to develop a model compliant to the region regulatory standards

  • Advanced Analytics
  • Scorecards

for a tier 1 bank

ADVANCED ANALYTICS AND TRANSACTIONAL DATA TO IMPROVE CUSTOMER KNOWLEDGE

Use of advanced analytics and transaction data to improve risk assessment models and customer insight Evolution of risk models using ML methodologies Improvement of customer segmentation and origination strategy and process

  • Advanced Analytics
  • Transactional Data

  • -20 %

    Risk on automated decisions