By David Norfolk, source: Reg Developer » Editors' Blog
It's well-known that data quality is often the devil you find hiding in the implementation detail of many big integration (and other) projects. It's a particular issue when companies merge. Of course, "your" salespeople always fill in contact and customer details accurately and honestly but "their" salespeople apparently got through the volumes by inventing contacts, selling to the entire population of Disneyworld - and if the spelling of a name looked a little odd they simply put up a new customer with a different spelling. Now, your merged database contains twice as many customers as it should, the stockmarket is taking an interest in the merged companies - and, hey, I wonder if there are compliance implications...
Easy enough to fix, of course, with an army of clerical people - if you have the resources (money and time, lots of both) and if your business activities can cope with a poor quality database and still maintain good service levels.
There must be a better way. Well, according to Hugo Verwijs, CEO of Human Inference, there is. Please click here to read the full article.
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