7 articles in this selection
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| 2009/08/30 Poor data quality costing companies millions of dollars annually
While the use of data quality software has hit an all-time high, companies, by their own admission, are still losing boatloads of money because of inaccurate data, according to a recent survey. The average organization surveyed by Gartner said it loses $8.2 million annually through poor data quality. Further, of the 140 companies surveyed, 22% estimated their annual losses resulting from bad data at $20 million. Four percent put that figure as high as an astounding $100 million....
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| 2009/08/29 Poor data quality costs 10% of revenues, survey reveals
The average perceived cost of poor data quality is as high as 10% of organisations' revenues, according to a survey of New Zealand and Australian organisations on data quality. The survey showed that estimates of poor information quality costs vary from one to 20% of total company revenues. This disparity in cost estimation existed not only from company to company but among senior information technology managers within the same organisation....
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| 2009/08/10 The High Costs of Low-Quality Data
If the state of quality of your company's products and services was the same level of quality as the data in its databases, would your company survive or go out of business? Conduct a quick self-assessment test.
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| 2009/06/19 Podcast: Start With Targeted Projects
The best way to use BI to meet the related challenges of increasing revenue and cutting costs isn’t to march in and implement a comprehensive project, says Clear Peak Senior Partner and Founder Brad Cowdrey. Instead, the company advocates a targeted, incremental approach that generates immediate gains and drives corporate acceptance....
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