Most organizations, both public and private sector, are faced with managing large quantities of disparate data. Disparate data is characterized by four basic problems.
This disparate data severely impacts both the organization's ability to perform its business activities and the quality of the data resource. Data disparity is continuing to increase in most organizations. The millennium date problem utilizes resources that could be used to resolve or prevent data disparity. The shortage of skilled personnel causes priorities to be shifted to tasks other than resolving data disparity. The availability of client-friendly products allows people throughout the organization to informally develop undocumented data that adds to data disparity. The proliferation of data warehouses and the increased use of other data megatypes (such as spatial, video, audio, textual and images) result in additional disparate data.
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