The Data Analytics Blog

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

Principa Marketing Team

Recent Posts:

Our Top Blogs On Credit Risk Management Of 2019

We’ve had an excited year in credit, with a brand new partnership with UK-based Welcom Digital, to resell their award-winning account management system, Financier, in South Africa. You can read more about our partnership here.

Our Data Analytics And Cloud Blog Roundup Of 2019

As a data analytics company, we write about data analytics frequently: but less so on the cloud. However, as software product experts, one of our blogs on a cloud-related topic was so popular this year, we would feel terrible if you were to miss it, and so have decided to add together our data analytics and cloud topics together in this roundup.

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

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.

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:

How Machine Learning Is Helping Call Centres Improve Their CX

The call centre world, unsurprisingly, ranks as one of the highest adopters of data analytics platforms year on year. This is largely due to the invaluable insights we gain through the analysis of thousands of calls received each day by the typical call centre. With speed being of the essence in making the right decision at the right time for each caller many call centres are turning to machine learning to automate their data analysis and make crucial customer experience decisions within seconds.

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