A framework of data warehouse systems success: An empirical study

These Increased organizational dependence on data warehouse (DW) systems drives management attention towards improving DW systems success.However, the successful implementation rate of DW systems is low and many firms did not achieve intended goals. A recent study shows that improves and evaluates DW success is one of the top concerns facing IT/DW executives.In addition, it is important to determine what aspects of DW systems success are critical to organizations to help IT/DW executives to devise effective DW success improvement strategies.Therefore, the purpose of this study is to further the understanding of the factors which are critical to evaluate the success of DW systems.The study also attempted to develop a comprehensive model for the success of DW systems. Researcher models the relationship between the quality factors on the one side and the net benefits of DW on the other side.This study used quantitative method to test the research hypotheses by survey data.The questionnaire measured six independent variables and one dependent variable.The independent variables were meant to measure system quality, information quality, service quality, relationship quality, user quality, and business quality.The dependent variable was meant to measure the net benefits of DW. The research results indicated that there are statistically positive causal relationship between each quality factor and the net benefits of DW. Implications of our results for practice and research are discussed.

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