Our Resources
Discover how data science can benefit your company with our guides, infographics, and content.
General data science resources
Truth seeker: How to avoid logical fallacies and cognitive biases in data science
In this eBook, you’ll find a host of important concepts where analytics and philosophy collide, with extensive explanations on how to avoid them in data science.
How to use your data: A guide to using machine learning in business
This guide explores how you can use machine learning to better tap into your business data and gain valuable, informing insights to improve your business revenue.
Principa's collection of data science and machine learning resources
An assortment of learning resources and communities to know about, to learn essential data science and machine learning skills.
Predictions 101: A concise business guide to predictive analytics
In this mini-guide, we discuss the basics of predictive analytics and how business can use it to gain an edge over competitors.
Call centre resources
Meet Agent X: Your call centre virtual assistant
Introducing Agent X, the call centre virtual assistant to solve your call centre agents’ problems.
Customer engagement resources
Guide for using data analytics for customer engagement: How to reduce churn and increase growth with a data-driven approach
In this guide, we discuss how advanced data analytics can be applied to the four areas of Strategy, People, Process and Technology to improve customer engagement, and how it will improve your growth rates and decrease your churn rates.
Creating a data driven customer loyalty or rewards program
Customer acquisition resources
How to implement a data-driven strategy to improve marketing and customer acquisition results using data analytics
In this guide, we discuss how advanced data analytics can be applied to the four areas of Strategy, People, Process and Technology to improve customer acquisitions.
Working wonders with Genius Leads: Case study
Collections & recoveries resources
Increase your collection yields: A guide to optimising collection and recovery returns
Covid-19 has greatly impacted the credit-active population of South Africa. In this guide, we give tips and insights we have learned over the years of working in Collections & Recoveries. Implementing these tactics will see you weather the storm.
A guide to using data science to optimise recovery yields and increase collection yields
In this guide, we discuss how advanced data analytics can be applied to the four areas of Strategy, People, Process and Technology to improve collections and how it will impact your yields.
Debtor profile and treatment framework infographic
White paper: Machine learning at one of Africa's largest external debt collectors
In this white paper, we explore the use case of using Principa Quick-Step machine learning models, deployed on Principa’s machine learning environment with Stratus delivering live analytics through Principa’s agent virtual assistant Agent-X.
Credit risk resources
Understanding IFRS 9 for retail unsecured lending
It is expected that IFRS9 adoption could lead to a material increase in provisions. The IFRS9 framework and key considerations for retail unsecured lending are described in the infographic high-level overview.
How to select credit lifecycle software
Auditing provisions: The auditing journey over time
Make smart decisions across the entire business lifecycle
DecisionSmart is a Business Rules Management System that provides accurate business decisions by processing large amounts of data and applying complex ruling systems.
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