I like the book title premise. Having just been involved in a project that included dealing with bad data, however it is defined. Also to be considered: Data and metadata that is not or miss-connected to data in use. Or stated as "From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. ... ". Don't have the book, so can't say it delivers. More about the book in Analyticbridge.
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