The Data Analytics Blog

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

COVID 19, mitigating this risk for business continuity and social responsibility

In 2011, Microsoft founder, Bill Gates, reflected on the many strides researchers have made in terms of treating diseases such as HIV, malaria and polio. Gates warned us, “There is one area, though, where the world isn’t making much progress, and that’s pandemic preparedness. This should concern us all because if history has taught us anything, it’s that there will be another deadly global pandemic”.

Introducing CollectSuite: Your Comprehensive Collections Execution Suite

We introduce our CollectSuite, aimed at providing organizations with a comprehensive collections execution suite.

A Roundup Of Our Top Debt Collection And Call Centre Blogs of 2019

It’s that time of the year again: our annual roundup of top blogs! As always, we’ll be posting a series of lists of our most popular, and not-to be missed blogs grouped into our favourite topics. We’re starting with the top blogs which focus on collections and call centre topics. So without further ado, here are our top five debt collection and call centre blogs of 2019:

The Top 4 Advantages That Your Collections System Should Be Giving You In 2020

The current credit environment can be characterised as one of intense competition for customers, with organisations often taking additional risk to grow credit portfolios. Consumers are becoming increasingly aware of their “value” and changing their expectations of how an organisation should treat them.   

Supercharging Your Collections With DecisionSmart

Collection departments utilise diallers and collections management systems to improve their collections by segmenting the delinquent customers, prioritising them and applying a host of treatments.  Whilst segmentation takes you so far, there are a host of other mathematical models that can be explored to improve what we call the “Collections Cascade”.  Improvement in any step of the cascade can help improve the collections yield and there are a number of models that can be used.  A few of them are listed below:

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