What do we mean when we talk about data modelling? An overview of different types of models
The real world, whether it be the physical world, for example machines, or the natural world, for example human and […]
CRISP-DM methodology
Predictive analytics – what can you do with your results?
I talked in my last blog post about the confusion that often emerges around how much data is enough to
Predictive analytics – what can you do with your results? Read More »
Predictive analytics – how much data do you really need?
When I’m talking to prospective clients something I hear a lot is ‘but we don’t really have enough data to
Predictive analytics – how much data do you really need? Read More »
Deployment of analytics – a great example of the Anna Karenina principle?
The Anna Karenina principle describes an endeavour in which a deficiency in any one of a number of factors dooms
Deployment of analytics – a great example of the Anna Karenina principle? Read More »
How the CRISP-DM method can help your data mining project succeed
I’ve worked in predictive analytics for many years and have seen that a key factor for increasing the prospects of
How the CRISP-DM method can help your data mining project succeed Read More »
The first step in predictive analytics – understanding your data
I speak to a lot of people in organisations just starting out on their analytics journey, organisations that have started
The first step in predictive analytics – understanding your data Read More »
