Data Quality

by David H
This article talks about how data quality is mundane and the issue how data quality affects to company. As we know working with data is very important.  Lou Gerstner mention that “Inside IBM, we talk about 10 times more connected people, 100 times more network speed, 1,000 times more devices and a million times more data.” This shows that as technology growth, we involve a lot with data. The poor data cost the company a lot. The author mentions that “it cost 10% to 20% of revenue to company”. In addition, author also mentions that there is some unfolding disaster. The most problems it comes from human mistakes such as input wrong data. For example, “incorrect prices on Amazon.com, where a 1GB memory module normally listed at $999.99 was on sale at Amazon.com for $19.99; hotel rooms at W Hotels sold for $59 instead of $259; and United Airline tickets selling for $5.” This shows that, because of poor quality data it makes image of company will be bad and customer will be upset. In addition, the company has difficult for making decision and implement new technologies. The other issue of poor data quality that company has is to link data of customer with different divisions, so they can do analysis and offer promotion or deals to customers. However, the data is simply unfit for doing so. The various divisions employ different data formats, they model customers differently and the data is erred, making linkage impossible.

I think this article relates to class because it talks about how poor data affect drastically to industry. In addition, we have been discussing some of the issue that makes data not quality. After reading this article, I think we need to follow the guide line which we have learned in class to improve quality of data.

 

Reference

Thomas C.Redman. (2008, July 18). Data: An Unfolding Quality Disaster. Information Management.

6 thoughts on “Data Quality”

  1. I really enjoyed your article David, it was very informative. I never knew that the number error caused by business were made by human error. It makes sense, since most computers are really fast and smart. Businesses need to focus their attention on data, because the percentage of loss is very high, along with reputation and customer service can drastically decline due to the mistakes.

  2. This was an interesting article because I can recall seeing news articles of price errors. Saw most of them through slickdeals from a while back. I don't know if those pricing errors were actually honored but if they were, I could definitely see how it could cost a company a great deal of money. I think if something like that happened, I'd have a talk with the editor-in-chief.

  3. Nice, this article makes so much sense. Data quality is really important and there are information technology companies that could specialize only in Quality Control services for other clients. Just shows us how important is to maintain our data. Good article!

  4. Interesting article! This article reminds me of one of the article I read few weeks ago. It was about how important it is to have a quality data. because data is the oxygen of every businesses out there today. Once again great article!

  5. Nice David, great article and you mention about the deals on amazon how the pricing sometimes is wrong. Very true and in fact I have gotten those deals with earphones.

  6. Nice David, great article and you mention about the deals on amazon how the pricing sometimes is wrong. Very true and in fact I have gotten those deals with earphones.

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