The Data Analytics Blog

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

Can Data Science Predict The Oscar Winners?

Following a highly successful initiative of using Machine Learning to predict last year’s Rugby World Cup results, we're trying our hand again at predicting the future and revealing some interesting insights along the way about another major event: The Academy Awards, or the Oscars. 

Football Had The Octopus, Rugby Has Data Science

Many of us remember the hoopla around the predicting ability of the now deceased FIFA World Cup predictor, Paul the Octopus. For those who don’t recall, Paul was an Octopus at a German aquarium that famously predicted with 100% accuracy the results of team Germany’s six matches and final match of the 2010 Soccer World Cup.

Out-Predicting 99.68% Of Humans During The Rugby World Cup

When we started our Man vs. Machine (Learning) initiative, we did so to have a bit of fun and to learn a few lessons we could apply to earning our bread and butter: predicting customer behaviour, customer lifetime value and credit worthiness, among other things, for our customers.

Using Predictive Analytics To Beat The Bookies

It’s Man vs. Machine at Principa HQ as our data scientists apply predictive analytics and machine learning to predict the winners and spread of each match during the Rugby World Cup.  We signed up two internal teams of data scientists onto sports prediction site SuperBru.com as an exercise to put theory into play in this year’s Rugby World Cup. By applying the same principles used to predict customer behaviour for our financial services and retail clients, our two teams are vying against each other to develop algorithms and predictive models that can predict the outcome of the matches with the highest accuracy.

Can Machines Predict The Outcome Of The Rugby World Cup?

It’s Man vs. the Machine as South African based data analytics company, Principa, apply predictive analytics and machine learning to predict the winners and spread of each match during the Rugby World Cup. South African based data analytics company, Principa, have signed up two internal teams of data scientists onto sports prediction site SuperBru.com as an exercise to put theory into play in this year’s Rugby World Cup. By applying the same principles used to predict customer behaviour for the company’s financial services and retail clients, two teams of data scientists are vying against each other to develop algorithms and predictive models that can predict the outcome of the matches with the highest accuracy.

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