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I agree with Robin Edmonds that business intelligence is designed to reduce risk and uncertainty ( see MicroScope , 6 September ). However, bad data continues to degrade BI performance . Tackling this presents a huge revenue opportunity for the channel. Analysts claim 50 to 70 percent of data integration projects underperform , 30 per cent of financial trades fail, 50 per cent of businesses measure performance manually because they cannot rely on IT, and so on.
The numbers may be debatable but the message is clear: clients cannot distinguish between good and bad data. This means they don' t know why errors occur and therefore cannot track back to fix them. Yet that' s what they feed into BI tools.
Ontological semantic cognitive data measurement technology is now emerging which works with any IT and gives precise control over data. Implementing it is one channel function. But the real channel revenue is in exploiting it to deliver business advantage and topline growth for clients . This is one high-paying high-margin skilled function that cannot be outsourced to India.
The channel should embrace data quality as soon as possible .
Adrian Mckeon
Managing Director
Infoshare Ltd
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