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Our Top Debt Collection Blogs From 2018

December 5, 2018 at 7:37 AM

https://www.principa.co.za/contact-centre-solutions/artificial-intelligence-call-centre-virtual-assistant/We end off every year with a roundup of our most popular blogs – the blogs that you should not miss out on! This year is no different, and we'll be putting together four roundups this year, one for each of our main topics.

2018 has been a great year in collections and recoveries, and we wrote a multitude of blogs on a variety of related topics. In this blog, we list the most popular blogs within the overarching Collections and Recoveries topic on our website. If you haven’t yet read these blogs, be sure to read them before the end of the year!

5 Most Popular Collections and Recoveries Blogs

5 Ways To Improve Collections In 2018

Results from a recent survey conducted in the EU, suggest that while looking for a new solution to support operations, customer centres looking to lead the charge should select a system that is flexible enough to accommodate both traditional and new channels to create a truly multi-channel contact centre environment.

What does this mean for improving collections in an environment that seems to be deteriorating more and more?

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Know Your Debit Orders: The Game Is Changing. So Should Your Strategy

South African credit providers are heavily reliant on debit orders as a payment channel. There are two broad types of debit orders that we have: standard debit orders, and early debit orders. The early debit orders are further broken down into two types – being Non-Authenticated Early Debit Orders (NAEDO) and Authenticated Early Debit Orders (AEDO).

The difference between the two broad types is really when the debit order is processed during the day. Standard debit orders are processed during the late ‘window’, so sometime during the afternoon, and early debit orders are processed very early in the morning. There is the added enhancement of early debit orders being able to track the customer’s account for available funds for up to 32 days.

So as a credit provider why is it important to now care a lot more as to how these two types of debit orders perform? Well, what if you weren't allowed to use the early ‘window' anymore?

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How Machine Learning Can Improve Your Debt Collection Process

Machine learning, for all its cool applications, is at its core the generation of predictive models using advanced algorithms that learn from data. If we have enough reliable and stable data to feed it, we can build models and make predictions on just about anything. If you are new to machine learning, read more on What is Machine Learning?

In a collections operation, having enough data shouldn’t be a problem. But knowing how to use the data at your disposal to increase your collection yields is the challenge. In this blog, we discuss how machine learning can help improve your debt collection process.

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Right-Party-Connect Rates In 2018

When looking at the collections cascade and it's diminishing returns, we always emphasise the responsibility factor relating to each metrics. Whom is responsible for these areas, and how do we monitor the accuracy of these metric results?

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Meet Agent X – Your Call Centre Virtual Assistant

Meet Vusi, a call centre agent, with call centre agent struggles. He needs to keep his customers engaged while he shifts between various systems to find the information he needs to meet his manager’s expectations of consistent, successful call outcomes. And he never really knows how he is performing against his targets…

With Principa’s Agent X call centre virtual assistant, those struggles are a thing of the past.

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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.