The Data Analytics Blog

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

All Posts

Truth Seeker: How To Avoid Logical Fallacies And Cognitive Biases In Data Science

May 10, 2019 at 10:19 AM

We have released a new eBook titled Truth Seeker: a guide to avoiding logical fallacies and cognitive biases in data science.

The eBook introduces a host of important concepts where analytics and philosophy collide and includes various links to webpages to learn more about each concept. The eBook aims to help readers improve their metacognition (thinking about thinking), which will help you avoid common mistakes regularly made in data analytics. 

The author of the eBook, Thomas Maydon, is the Head of Credit Solutions at Principa. With over 16 years of experience in the Southern African, West African and Middle Eastern retail credit markets, Thomas has primarily been involved in consulting, analytics, credit bureau and predictive modelling services.

For some time, I have been interested in sceptical thinking and how we as humans commonly make logic flaws in our thinking. Philosophers have classified these flaws in a long list of informal logical fallacies and cognitive biases.” says Maydon.

As an analyst and mathematician, I was interested in how these errors in thinking permeate into the world of data science. It was clear that these same logical flaws exist in analytics.

The free eBook is available for download here.

Truthseeker - logical fallacies

Latest Posts

Africa’s Calling: Contact Centre Conference And Expo

We recently attended the Contact Centre Management Group (CCMG) Contact Centre Conference and Expo, themed Africa's Calling.

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.

AI And The South African Workforce: A Balancing Act

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.