PIC Solutions Launches New Credit Academy Seminar

PIC Solutions, the leading specialist credit risk solutions company in the EMEA region, has launched a new Credit Academy seminar that provides an insight into the use of business analytics in the consumer credit industry.

The management of consumer credit portfolios relies heavily on the use of statistics and analytics for success - whether through the use of predictive models for risk rank ordering, or to determine which customers represent the best market for new products or offers, the use of data analytics is an essential capability of the modern consumer finance business.

In response to the growing industry need for competent, skilled staff, PIC Solutions has designed an Introduction to Consumer Credit Business Analytics and Statistics. This seminar is a one-day course presented by experienced PIC Solutions consultants that provides a comprehensive understanding of the concepts and practical implementations of best practice consumer credit analytics.

The first Introduction to Consumer Credit Business Analytics and Statistics seminar will be held at the PIC Solutions’ Johannesburg training facility on 14 October, 2008. This intensive training programme includes a series of practical case studies and exercises.   Leading experts in the consumer credit analytics arena will cover the following topics in the seminar:

• Application of statistics to consumer credit business challenges
• Assumptions in statistics and common techniques used
• General analytic framework (data structures, exclusions, sampling, objectives and observation periods)
• Benefit areas of applied statistics in consumer credit case study
• Importance of data quality and techniques that are deployed to assess it
• The profile of a fraudster
  

• Assess the quality of your data through the utilisation of best practice techniques
• Use common analytical techniques and understand key assumptions made in statistics
• Apply statistics to resolve common consumer credit problems within your business