YOUR INSTRUCTOR

Dr. Mamdouh Refaat

Dr. Mamdouh Refaat

As Vice President and Chief Data Scientist, Mamdouh manages Angoss’ Global Analytics Center of Excellence. He is an expert and published author with over 20 years of experience in predictive analytics and data mining.

Final Stream
Starts:
Monday March 11
Register By:
March 8

Stream 2    FULL!
Starts:
Monday February 25
Register By:
February 22

Stream 1   FULL!
Starts:
Monday February 4
Register By:
February 1

Bonus: Registrants can enter into a draw to win a collections analytics consultation with Dr. Refaat.

FREE VIDEO COURSE

Accounts Receivable Recovery and Collections Analytics

Traditional collections strategies based on debtor type have limitations—targeting debtors is slow, it is less flexible and debtor behaviour is not recognized. Rather, your collections portfolio is made up of many different segments, each with its own analytical targets that change over time.

Enroll in the Accounts Receivable Recovery and Collections Analytics 4-part video course and learn how to use collections analytics to improve your A/R recovery. The featured videos take you through each phase in the collection analytics process and demonstrate how to build and deploy predictive models that increase recoveries and improve customer retention while reducing operational costs.

Who should enroll

VP Collections, VP Credit Risk, VP Finance, Controllers, data analysts, and collections and A/R managers working in a collections agency, consumer credit or financial services organization—anyone interested in applying predictive analytics to their collections strategy.

What you will learn

With your enrollment in the course, you will get a short video course at the start and end of the business week until we cover the four topics below:

INTRODUCTION
 In this first module you’ll learn about collections strategies and how collections analytics can be applied to improve A/R recovery and business performance.
DATA PREPARATION/ PROFILING
 This module illustrates how to transition data into a format that can be used for collections analytics, and how to understand the characteristics of your data.
DATA MODELING
 The third video continues with the example used in prior modules and illustrates how to model your collections data using Angoss’ best-in-class Decision Trees.
MODEL DEPLOYMENT
 The final video progresses with the construction of Strategy Trees and model deployment using the StrategyBUILDER module in Angoss’ predictive analytics software suite.

Each course includes a short video and demonstration of best practices and techniques on all the collections analytics topics you need to know.

Enroll in the Course

Sign up by March 8 to begin taking the course on March 11.

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