July 2013
Intermediate to advanced
248 pages
5h 22m
English

Data quality often sucks. A woefully common approach to this problem is to seek better software to process the data.
It’s not unusual for the quality of database software to exceed the quality of the data it processes, yet from the end-user’s viewpoint, system quality is limited by the lesser of the two. Companies everywhere are faced with databases full of inaccuracies and out-of-date or missing information. The problem is as obvious as the nose on your face, but like your own nose, it can be difficult to see. It’s hard for companies to come directly to grips with their own data-quality problems, though nobody has trouble seeing ...
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