Predictive Analytics

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CRISP-DM V’s Agile – The Face Off

I have been developing Advanced Analytics models for nearly 20 years, covering areas from Credit Risk to Customer Intelligence to Fraud Detection. Over that time, I have used the CRISP-DM project management framework time and time again and it has never failed me. In recent times I have worked with a number of clients who [...]

By |2019-10-31T09:45:49+00:00October 31st, 2019|Analytics, Applications, Industry, Predictive Analytics|0 Comments

Machine Learning for Data Enrichment

Most of the time when we talk about machine learning projects we talk about building predictive models that generate insights that directly help someone to make a decision - for example using churn prediction to identify the customers that a retention team should contact, using fraud detection to decide which cases to investigate, or using [...]

12 Days of Data Analytics: Day 9 – No Such Thing As A Free Lunch

I used to be confused when people talked about No Free Lunch theorems in machine learning. The gist of this idea is that no one machine learning algorithm will ever be best for all modelling problems. I always thought that this would be better described as No Silver Bullet or Can't Win Them All. This [...]

By |2018-07-11T16:12:34+00:00December 18th, 2016|Analytics, Machine Learning, Predictive Analytics|0 Comments

12 Days of Data Analytics: Day 5 – Prediction Means a Lot of Things

When writing our book, Fundamentals of Machine Learning for Predictive Data Analytics (, we worked really hard to make the point that prediction can mean a lot of different things.  We defined a prediction as "the assignment of a value to any unknown variable". This is important because it is this broad definition of prediction [...]

By |2018-07-11T16:12:35+00:00December 10th, 2016|Analytics, Applications, Predictive Analytics|0 Comments