The Data Analytics Blog

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

All Posts

Follow-Up Interview With John Robbie On Oscars Prediction Success

February 29, 2016 at 3:58 PM

John Robbie speaks to Principa about predicting the oscars

Shortly after the winners of the Oscars for Best Actor, Best Actress, Best Director and Best Picture were announced, John Robbie of Talk 702 spoke to Principa Data Scientist, Johan van Biljon,  for a follow-up interview to find out how accurate Principa's predictions had been. Using data analytics, Principa correctly predicted Leo would win an Oscar for Best Actor, Brie Larson would win for Best Actress, and Iñárritu to win for Best Director. 

However, our models indicated that “Spotlight” and “The Revenant” had an almost equal probability of winning  - there was less than 1% difference in probability. It was a  virtual coin-toss.  We went with “The Revenant” and in the end “Spotlight” took the honours for Best Picture.  

Click here to listen to the interview

 

Latest Posts

Solving the Credit Unaware Challenge with Psychometrics

At Principa, we engage with clients and organisations across the entire credit lifecycle and track the focus of the South African credit industry. For nearly ten years the focus has consistently been in the collection space, but recently (since early 2021) this has changed and a large number of our clients are focused on acquisitions and originations.

Predicting Customer Behaviour (PART 2)

In Part One of this two-part blog, we started providing a short overview of just some of the propensity models that Principa has developed. In this Part Two, we continue to look at different types of propensity models available across the customer engagement lifecycle that are used to predict behaviour and solve business problems. 

PART 2: How to Cure the Post Pandemic “Collections” Symptoms

In PART 1 of this two-part series, we explored how the current socio-economic climate resulting from the lingering financial hangover caused by the pandemic is negatively impacting the consumer's ability to settle a debt.