Blog Archives

What is wrong with lift curves

October 30, 2016
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What is wrong with lift curves

The first part of our Marketing Analytics Using R course covers campaign analysis with test- and control groups and campaign optimisation using lift curves and predicted responses. Among the many topics covered, we discuss what is wrong with lift curves. They are a standard tool in marketing to select a target group for a campaign based on predicted response...

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How do we know that marketing works?

October 16, 2016
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How do we know that marketing works?

How do we know that marketing works? It was National Poetry Day in Britain recently, and I do believe that poetry and imagination, and the wisdom and insights it can bring, has a place in business and corporate world. But wisdom isn’t knowledge; it d...

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Microsoft Analytics in 2016

June 23, 2016
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Microsoft Analytics in 2016

If you had asked me two years ago if Microsoft was a serious vendor for data science and analytics infrastructure and tools, I would have laughed. At the time their offering seemed to me to consist of Excel against SQL Server. There is nothing really wrong (or exciting) about SQL Server, but friends don’t let friends use Excel for...

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Net Promoter Score confidence intervals 2: maths and stats

January 13, 2016
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Net Promoter Score confidence intervals 2: maths and stats

We looked at a rule of thumb for confidence intervals and what that means for a business manager in our previous post. Now we do the maths, stats, and R code for the practitioner.

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Analytics for Marketing online training 25 – 28 September 2012

August 1, 2012
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Analytics for Marketing online training 25 – 28 September 2012

I am excited to be giving the Analytics for Marketing online training course on 25-28 September 2012. Sign up before 25 August 2012 for the early bird discount. Our friends at Revolution Analytics who will provide the infrastructure to host the event. Update: For clarification, this is an online, instructor led training course. We are...

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When Big Data matters

March 21, 2012
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When Big Data matters

Big can be a qualitative as well as a quantitative difference. The gas in the ill-fated Hindenburg airship, the gas that formed our Sun, and the gas that formed the Milky Way galaxy were just lumps of hydrogen atoms (with varying impurities). The difference was in the number of atoms. But that difference in numbers made the three structures...

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R code for Chapter 2 of Non-Life Insurance Pricing with GLM

March 13, 2012
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R code for Chapter 2 of Non-Life Insurance Pricing with GLM

We continue working our way through the examples, case studies, and exercises of what is affectionately known here as “the two bears book” (Swedish björn = bear) and more formally as Non-Life Insurance Pricing with Generalized Linear Models by Esbjörn Ohlsson and Börn Johansson (Amazon UK | US

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R code for Chapter 1 of Non-Life Insurance Pricing with GLM

March 1, 2012
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R code for Chapter 1 of Non-Life Insurance Pricing with GLM

Insurance pricing is backwards and primitive, harking back to an era before computers. One standard (and good) textbook on the topic is Non-Life Insurance Pricing with Generalized Linear Models by Esbjorn Ohlsson and Born Johansson. We have been doing some work in this area recently. Needing a robust internal training course...

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doSMP pulled

March 1, 2012
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doSMP pulled

They have finally pulled that buggy unreliable piece of code that was doSMP from the CRAN mirrors while (I hear) Revolutions are re-writing it. To use all your cores for analysis on the Windows platform, you can try doSNOW instead; my code is something like the fragment...

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R versus SAS/SPSS in corporations

October 28, 2011
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R versus SAS/SPSS in corporations

A recent question on one of the LinkedIn groups about the advantages of using R over commercial tools like SAS or IBM SPSS Modeller drew lots of comments for R. We like R a lot and we use it extensively, but I also wanted to balance the discussion. R is great, but looking at commercial organizations near...

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