How To Avoid The Embarrassment Of Dirty Data

When we hear about dirty data we often think about data quality; that is how trustworthy data is, including whether the data is valid, consistent, accurate and relevant. Usually, when data is described as dirty, the information is inaccurate, incomplete or duplicated. However, a startling three-quarters of large enterprises will make hardly any improvements to clean up their data. To gain the competitive advantage from this type of information, it's crucial that organisations begin to look at their data as a valuable corporate asset.

The full article appears here:
http://www.microsofttraining.net/article-1314-avoid-embarrassment-dirty-data.html

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The Microsoft Training Blog Team
http://microsoft-training.blogspot.com