Tim Mitchell
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When Data Mining Goes Too Far

Data mining is commonly used to find otherwise undetectable patterns in related sets of data.  However, sometimes these patterns provide absolutely useless information.  This story on FoxNews.com explains a recent correlation between teens who skip breakfast and those that lose their virginity earlier in life.  Interesting information, yes, but what exactly does a parent or other concerned party do with this?  Is it really valuable?

In the business world, I’m sure we could find examples of data mining “hits” that are just as obscure.  Many of them have value, but the real intelligence – I mean human knowledge, not some component of software – is being able to determine which patterns are actually useful.  Delivering bits of information such as the example above could lead to information overload and defeat the business purpose of data mining.

Now I’m off to evaluate whether I should force Cocoa Crispies into my kids to keep them abstinent 🙂

About the Author

Tim Mitchell
Tim Mitchell is a business intelligence and SSIS consultant who specializes in getting rid of data pain points. Need help with data warehousing, ETL, reporting, or SSIS training? Contact Tim here: TimMitchell.net/contact

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