Blog Archives

Microsoft Analytics in 2016

June 23, 2016
By
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...

Read more »

Net Promoter Score confidence intervals 2: maths and stats

January 13, 2016
By
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.

Read more »

Analytics for Marketing online training 25 – 28 September 2012

August 1, 2012
By
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...

Read more »

When Big Data matters

March 21, 2012
By
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...

Read more »

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

March 13, 2012
By
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

Read more »

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

March 1, 2012
By
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...

Read more »

doSMP pulled

March 1, 2012
By
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...

Read more »

R versus SAS/SPSS in corporations

October 28, 2011
By
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...

Read more »

Commercial Analytics: The Capabilities

October 5, 2011
By
Commercial Analytics: The Capabilities

Commercial Analytics is the kind that makes money. From data to dollars, insights to income, this is all about how to run the business better. To do it and to do it well you need certain capabilities in place. This article builds a map of those business capabilities to help you assess, understand, and plan your business.

Read more »

5 common pitfalls of commercial analytics projects

September 5, 2011
By
5 common pitfalls of commercial analytics projects

We have 20 years of experience of big data environments within a variety of industries including Research, Banking, Insurance, and Telecommunications. We have especially worked with customer data: Marketing, Risk Management, customer segmentation and -profitability, and customer-driven product development.

Read more »

Sponsors

Mango solutions



plotly webpage

dominolab webpage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)