The Data Analytics Blog

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

All Posts

The Five Most Popular Machine Learning And Artificial Intelligence Blogs of 2019

December 9, 2019 at 7:42 AM

This year, we wrote about machine learning (ML) and artificial intelligence (AI) mostly in the context of chatbots. That’s because we have a brand new relationship with NML as an Atura, AI Chatbot for Financial Services reseller. You can read more about our partnership, here. We’ve also written a very interesting blog regarding machine learning in medicine, which you shouldn’t miss, so we’ve included it in this roundup.

Here are our top five blogs on ML and AI of 2019:

15 Vital Chatbot Statistics You Need To Know In 2019

If you haven’t yet heard, we’re in the chatbot game! We’ve recently announced our partnership with Atura and we’re very excited to bring the Atura chatbot into the credit and collections world.

If you’re interested in learning more about the chatbot, check out this nifty Slideshare. But if you’re not quite ready for that yet, we’ve put together the most crucial statistics on chatbots to help you determine whether your business needs chatbots or not… Read more

Finding The Balance Between AI And The South African Workforce

Recently, South Africa was faced with the threat of the biggest banking strike in our country’s history, driven by the job cuts as a result of increasing automation.

In this blog, we explore, not if and when the fourth revolution will come to Africa (it is already here in full force) but rather how we will deal with it? Read more

The Difference Between A Live Chat And A Chatbot

Most websites or apps lately have a chat function, whether that be an AI-powered chatbot or a live chat function. But many people (and some businesses) don’t know the difference between the two and aren’t sure when they are talking to (or have installed) a bot or an agent.

In this blog, I discuss the main differences between the two and how to choose which type of chat function is best for your business… Read more

Why Are Chatbots Important?

We’ve recently partnered with Atura to bring a world-class chatbot to the credit and collections industry – and we’re very excited!

Your business is likely already considering a chatbot, and if not: you’ve likely got it on your agenda for this year. We’ve written recently about some powerful statistics on chatbots that you need to know, but in this article, we’ll detail some of the benefits of chatbots and why they are so important for your business in 2019… Read more

How Machine Learning Is Transforming Medicine?

At Principa, we are passionate about new ideas and product development.  20% of our revenue is ploughed back into innovation.  One of our key areas of focus is machine learning where we have built machine learning solutions in both collections and the customer acquisition space.  While our focus is primarily on credit risk and customer engagement, we are always interested in how machine learning has gained traction in other industries.

In this blog, we explore the application of machine learning and, in particular, deep learning in the medical field… Read more

Using machine learning in business - download guide

Latest Posts

The Pros and Cons of a Multi-Bureau Strategy in Credit

Although not a new concept, very few lending organisations have deployed a true multi-bureau strategy (MBS). It is however talked about fairly regularly, but often dismissed as “too hard” or “not important enough”. So why should you consider a multi-bureau strategy? What are the key considerations? How do you go about deploying a MBS? This blog hopes to address all these questions.

PART 1: How to Cure the Post Pandemic “Collections” Symptoms

It has been a year and a half since the first case of the coronavirus (COVID-19) was reported from Wuhan, China. As we move into the third wave of the virus, there is an apparent dilution in both collection and recovery yields in the financial services sector, primarily because relief schemes and packages come to an end.

Predicting Customer Behaviour

Propensity modelling attempts to predict the likelihood that visitors, leads and customers will perform certain actions. It’s a statistical approach that accounts for all the independent and confounding variables that affects said behaviour. The propensity score, then, is the actual probability that the visitor, lead, or customer will perform a certain action.