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Data Cleansing
The Wrong Guy - identity crisis at the BBC
BBC New 24’s coverage of the recent court case between the Beatles’ record label, Apple Corps Ltd. and the computer firm, Apple Computer, Inc. was as comprehensive and professional as usual - until they suffered a case of mistaken identify!
dn:Director - a fresh approach to data quality
Why do so many organisations turn a blind-eye to data quality? One thing for sure is that the legacy data quality software providers have done little to help address this crucial business issue by delivering products that require years of expertise to successfully leverage all of the functionality available (and, just as importantly, to know [...]
Talking Dirty
Many people (including acknowledged data quality gurus) appear to have a very restricted view of what constitutes “dirty” data and what you can do to improve it. I was reading an article recently that expounded the case for cleaning-up dirty data, but never ventured beyond tried and tested examples of historical data and alternative versions [...]
User error
When The Data Warehousing Institute asked in a survey “where does dirty data come from?” the main cause cited was sloppy data entry. But my experience is that it’s sometimes unfair to blame the users; let me give you an example.
I was asked to look at some problem addresses for a UK-based client’s data migration [...]
