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All about beer and diapers

Oracle Tips by Burleson Consulting
Match 3, 2008

 

The use of "illustrative examples" is very well-known among teachers who do not want to confuse beginners.  For example, almost everyone who read my "Oracle 911" article clearly understood that these were deliberately over-simplified illustrations, used to emphasize each correct concept.

Yet some people still criticized the article for using illustrative examples, calling them fabrications (Really, I?m not making this up).  In database consulting, everyone knows that you cannot copy your client?s schema and data for ?evidence?, and only a beginner would suggest this.

 

In sum, I agree with the statement ?Trust but Verify?.  Personally, I trust folks who are out-there tuning Oracle every day, and I don't need proof from someone that I trust.  To discredit an important statement from a real-world database just because it is impossible to provide a ?reproducible? proof is not a good practice.
 

Let?s take a closer look at the ?Beer and Diapers? concept:

 

Beer and Diapers

 

Teachers MUST create illustrative examples and it is a common practice among professors to use simple illustrations to reinforce a concept. Take the famous ?beer and diapers?.  This example is used to explain the concept of data mining to countless University students, and I?ve used it myself when teaching Grad School.

 

The professor admitted that his story was an illustrative example, but it?s not fair to call academic examples ?fabrications? or ?lies?.

 

http://www.govexec.com/dailyfed/0103/013103h1.htm

 

A number of convenience store clerks, the story goes, noticed that men often bought beer at the same time they bought diapers. The store mined its receipts and proved the clerks' observations correct. So, the store began stocking diapers next to the beer coolers, and sales skyrocketed.

 

The story is a myth, but it shows how data mining seeks to understand the relationship between different actions."

 

http://dssresources.com/newsletters/66.php

 

What is the "true story" about using data mining to identify a relation between sales of beer and diapers?

 

This is one of those recurring questions related to a famous decision support example. The story of using data mining to find a relation between "beer and diapers" is told, retold and added to like any other legend or "tall tale". I can't recall exactly when I first heard a version of the tale, but I have used the story and added to it myself on occasion. The following are some versions of the tale

...

 

An article in The Financial Times of London (Feb. 7, 1996) stated, "The oft-quoted example of what data mining can achieve is the case of a large US supermarket chain which discovered a strong association for many customers between a brand of babies nappies (diapers) and a brand of beer.

 

Hermiz and Manganaris (1999) stated "One of the most repeated (though likely fabricated) data mining stories is the discovery that beer and diapers frequently appear together in a shopping basket.
 

The explanation goes that when fathers are sent out on an errand to buy diapers, they often purchase a six-pack of their favorite beer as a reward."
 

 

If you like Oracle tuning, you might enjoy my book "Oracle Tuning: The Definitive Reference", with 950 pages of tuning tips and scripts. 

You can buy it direct from the publisher for 30%-off and get instant access to the code depot of Oracle tuning scripts.


 

 

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