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As organisations seek to gain value from fragmented data management efforts, they find that the quality of data often is unacceptable - and the cost of managing it is high. It is difficult to achieve cross-organisational returns on information that is generated within piecemeal business intelligence systems or organisation applications. Problems arise when one have inconsistent definitions of business entities throughout systems, redundant development efforts or performance problems, and ownership issues that prevent cross-functional use of the data. It all leads to higher costs, less credible information, and missed growth opportunities.
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