Introduction to Consumer Credit Business Analytics and Statistics Seminar

Seminar Description


Introduction to consumer credit business analytics and statistics Seminar, hosted by PIC Solutions, is a one-day seminar providing delegates with a comprehensive understanding of the concepts and practical implementation of best practice consumer credit analytics.

This seminar is practically focused and international best practice concepts are reinforced using practical case studies and exercises. This approach, combined with highly experienced presenters, ensures that delegates return to their work environments with a clear understanding of the concepts and practical implications of best practice business analytics and statistics. Furthermore, the lively debate and interaction between delegates and presenters guarantee an enjoyable yet valuable learning experience.
 

Seminar Contents


Leading experts in the consumer credit analytics arena will cover the following topics in this intensive one-day seminar:

  • The profile of a fraudster.

  • Assumptions in statistics, and common techniques used.

  • Application of statistics to consumer credit business problems.

  • General analytic framework (data structures, exclusions, sampling, objectives and observation periods).

  • Benefit areas of applied statistics in consumer credit case study.

  • The importance of data quality and techniques that are deployed to assess it.

    

Key Benefits


This seminar will empower you to:

  • 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.

Pre-requisites

 

The seminar assumes some familiarity/ experience with consumer credit principles.

    


Why Should you attend this Seminar?

 

For those that analyse data on a regular basis, build predictive models, or simply review the output that is produced by analysts it is important to have a basic understanding of the different techniques that can be used, and the assumptions behind them. When running any analysis there are several key steps that should be followed to ensure that you can rely on the output that is produced. This basic course covers the typical issues surrounding the use of analytics and statistics within a consumer credit portfolio management department.

 

Who is this seminar aimed at?

 

Everyone who is involved with the analysis of data and preparing of statistics within your organisation. Previous seminars have been attended by the following consumer credit professionals:

  • Risk Managers and Analysts

  • Credit Managers

  • Junior Analysts

Registration:

 

To register for these seminars or to download a registration form to fill in later, simply click here

 
 

Introduction
 

Consumer credit portfolio management relies on the use of statistics and analytics on a daily basis. Whether it is using a predictive model as a risk rank ordering tool, or determining which customers to make offers to, the use of data analytics is a requirement.

   

Materials

All attendees receive the Introduction to Consumer Credit Business Analytics and Statistics Seminar binder. A Certificate is awarded to all delegates that complete the seminar.
 

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