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URN etd-0801107-113159 Statistics This thesis had been viewed 3252 times. Download 1946 times. Author Hsin-Yi Chang Author's Email Address firstname.lastname@example.org Department Information Management Year 2006 Semester 2 Degree Master Type of Document Master's Thesis Language Chinese&English Page Count 156 Title A study on the Performance Estimating Model For Enterprises with Data Warehouse Keyword BSC Performance Estimating Data Warehouse Data Warehouse Performance Estimating BSC Abstract Along with the rapid expansion of information technology and the urgent demand of Decision Support System, only in a few years, data warehouse have been converting absolute theory into practical technology. more and more enterprises have been plunging into the data warehouse for supporting business process and decisions.However, the implementation of data warehouse is complicated, risky and apparently expensive. To take a brand view , most of related articles were found discuss about how to establish data warehouse fine, but performance evaluation of data warehouse is little. The enterprises indeed need Performance Evaluation to estimate the effects of operation in data warehouse.
This study sets up ways to estimate Performance Evaluation of data warehouse by using diverse Performance Evaluation of Balanced Scorecard. Also, it sets up a standard based on literature review and interviews with researchers of enterprises. There are 20 indicators in financial perspective, 19 indicators in customer perspective, 21 indicators in internal process perspective, and 14 indicators in learning and growth perspective. Through the first questionnaire,using descriptive statistics to sift the Key Performance Indicators of four perspectives, 4 indicators in financial perspective, 7 indicators in customer perspective, 6 indicators in internal process perspective, and 4 indicators in growth and earning perspective. Through the second questionnaire, using AHP application to measure the weights of the key performance factors, according to the research result, the weight of the factor “financial perspective” is 0.23 , the weight of the factor “customer perspective” is 0.37 , the weight of the factor “internal process perspective” is 0.27 and the weight of the factor “learning and growth perspective” is 0.13 , then create the balanced scorecard of Performance Estimating Model for Enterprises with data warehouse. The results of this study both provides practical estimate of Performance Evaluation in data warehouse and is worth investigating in the future.
Advisor Committee Chueng-Chiu Huang - advisor
Files Date of Defense 2007-07-05 Date of Submission 2007-08-01