The Data Analytics Blog

Our news and views relating to Data Analytics, Big Data, Machine Learning, and the world of Credit.

Account Management Credit Strategies - A Profitable Pursuit: Part 1

Onboarding good new customers in a very competitive market is difficult and not always that profitable. That is why prudent credit managers often look to account management strategies to reap the greater rewards. Once a customer is on-boarded and has proved herself to be an exemplary re-payer, offering her money is more of a sure-thing for repayment.Behavioural scorecards offer far better Ginis than application scorecard. This means you can afford to be more aggressive in account management.

10 ways of combating application fraud Part-2

In our previous blog, we covered five steps to help lenders avoid application fraud. Application fraud has been an increasing blight on credit books particularly with the growth in digital channels. In this blog we explore another five fraud-mitigation steps.

The time is NOW for model validation and adjustment.

One of the major premises used in credit scoring is that “the future is like the past”. It’s usually a rational assumption and gives us a reasonable platform on which to build scorecards whether they be application scorecards, behavioural scores, collection scores or financial models.  That is reasonable until something unprecedented comes along.  You can read about this black swan event in our previous two blogs here and here

10 ways the COVID-19 crisis will affect your credit models (PART 2)

This is the second of a 2-part blog. You can read the first blog here.

10 ways the COVID-19 crisis will affect your credit models (PART 1)

One of the basic principles of credit scoring and modelling is that the “future is like the past”.  Whilst robust credit models may be calibrated on multiple time periods, this assumes that trends in the past represent what is going on today.  COVID-19 is a black swan event – meaning in the modern day it really is unprecedented.  If you have never come across the term black swan, or if you have but no idea the origin, I recommend taking two minutes to read its really interesting etymology.

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