The Data Analytics Blog

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

Main requirements when considering a Collections System (Part 2)

Principa specialises in providing data driven solutions that will optimise your business' collections strategy, improve your recovery yields, and increase your business revenue. 

Shift happens: Top tips on Scorecard re-alignments

Principa employs a variety of best-practice credit scorecard building techniques including mathematical programming, regression modelling, optimal segmentation-seek genetic algorithms and reject inference parceling, amongst others. Through our credit risk scorecards businesses can look to improving their credit risk decisioning by 5-30%.

The Retaining and Reviving of Customers

Maximise profitability by reducing the churn of profitable customers Genius Retain is an analytics-as-a-service offering that allows you to statistically predict the probability of your customer cancelling their account, identify which customers are worth retaining and how to retain or re-activate these profitable customers. [FIND OUT MORE ABOUT GENIUS RETAIN] The ability to retain and re-activate dormant customers is vital to sustaining a profitable business. Companies with a clear plan to retain and activate dormant customers with a strong analytical overlay, can have a successful and profitable outcome. We discuss the value of a customer and how to retain and revive them. What is the true value of losing a customer?

How Quick-Step Machine-Learning Models will help you through COVID-19

In a previous blog, we looked at assessing your credit models and the challenge of building and deploying models representative of the COVID-19 crisis. At the crux of the challenge was the fact that:

How to COVID-proof your scorecards with short-outcome machine learning models

“Unprecedented” is a term with which we’ve all become quite familiar over the last few months. COVID-19 has changed our society and our economy quite drastically. In predictive analytics “unprecedented” has far reaching implications – simply put it’s difficult to build models when we do not have data that reflects similar trends to what we will expect moving forward.

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