Our news and views relating to Data Analytics, Big Data, Machine Learning, and the world of Credit.
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%.
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:
“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.
Effective account management strategies can prove highly profitable, particularly in a competitive marketplace where acquiring good customers is a challenge.
In our two previous blogs here and here we looked at how an effective account management strategy can result in profitable decisioning. In this blog we look at what is required to deploy account management strategies.