Enterprise data warehouses can be an expensive investment in both time and resources. The promise of datarnwarehouses is improved decision making through user empowerment and enablement of sophisticated decisionrnsupport tools. Have organizations been able to achieve this goal?rnThe theory of task- technology fit defines a model that suggests that for a technology to be utilized it must meetrnthe needs of a user. When the technology meets the users'needs and provides features that support the fit ofrnthe requirements of the task, performance impacts will result. When an organization commits the time andrnresources necessary to develop an enterprise data warehouse, their expectation is that there will be a high task-rntechnology fit and that performance impacts will result in an improved organization.rnThis study extends prior task-technology fit research to provide an evaluation of task-technology fit in datarnwarehouse applications. The focus of the study is to examine the factors that contribute to the task-technologyrnfit specifically within data warehouse environments. Six organizations that have implemented a data warehousernwere surveyed. The sample population consisted of users of large-scale data warehouses within the insurancernindustry.
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