ADVANCED ANALYTICS

ADVANCED ANALYTICS

Empowering value creation through advanced analytics

CRIF brings together a distinctive combination of industry expertise, risk management experience and a proven track record in advanced analytics. This combination empowers value creation through efficient data management and modeling.

CRIF delivers expertise in relevant regulations, industry insights, specialist data management skills, and extensive experience in advanced analytics in terms of climate-related risks, ESG, business growth, fraud prevention, credit risk mitigation, anti-money laundering, pricing sophistication, forecasting and location intelligence, among others.

  • Reduction in risk for new business
  • Reduction in manual reviews
  • Reduction in cost of risk with alternative data
  • Increased recovery rate
  • Reduction in RWA density
  • Decrease in ECL
  • Full climate risk coverage compliant with key regulations


  • Proprietary ML and AI algorithm
  • External data integration
  • Data validation and aggregation
  • Portfolio enrichment
  • Data model
  • Cloud native
  • Dynamic dashboards
  • RISK ASSESSMENT

  • REGULATION

HOW WE HELPED OUR CLIENTS UNLOCK THEIR POTENTIAL

Discover how some of the world's most important companies improved their performance and defined a brand-new digital path, both for them and for their clients.

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

GET IN TOUCH WITH THE SALES TEAM

What does the next digital journey of your business look like? Let's find out together.