
I recently read the article Worst practices in business forecasting written by Michael Gilliland and Udo Sglavo. It is published in the July/August issue of AnalyticsMagazine, which is by the way an excellent journal about analytics. In their article, the authors are looking for the reasons why forecasts are sometimes completely wrong. According to them, there are four main reasons:
In an
earlier post, I was mentioning two ways to reduce the SAS licence costs. The first one, Carolina, consists of translating the SAS code into Java code. However, it seems not very easy to do and the solution is not known (and thus there is no real support for it). Another solution is to interpret your SAS code using the World Programming System (WPS).
WPS is a SAS code…
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I would like to welcome a new blog related to data mining: Data Mining World. Written by Burcu Kalender, a data analysis professional. She writes about various data mining topics such as software, competition, learning resources and many others.
Here is an excerpt from a recent post:
How do you decide which statistical software to use? Sure you think about which one you handle best or which is most suitable for the…
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It's my pleasure to welcome Daniel Cawrey for this guest post on Data Mining Research. He has written an interesting post about Google TV and the data mining possibilities. I hope you will enjoy it.
There has been a lot of hype surrounding
Google TV since it was announced at a developer symposium in May. At the keynote speech of the Google I/O conference, there were…
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If you want to impress your colleagues/friends with some huge numbers, simply use the funny comparisons made by Information Management in their article "Are You Prepared to Store All This Data?". Here is an excerpt:
"The amount of digital information created in 2010 (1.2 zettabytes) will equal:
- The digital information created by every man, woman and child on Earth “Tweeting” continuously for