Examining Quality Factors Influencing the Success of Data Warehouse

Increased organizational dependence on data warehouse (DW) systems has drived the management attention towards improving data warehouse systems to a success. However, the successful implementation rate of the data warehouse systems is low and many firms do not achieve intended goals. A recent study shows that improves and evaluates data warehouse success is one of the top concerns facing IT/DW executives. Nevertheless, there is a lack of research that addresses the issue of the data warehouse systems success. In addition, it is important for organizations to learn about quality needs to be emphasized before the actual data warehouse is built. It is also important to determine what aspects of data warehouse systems success are critical to organizations to help IT/DW executives to devise effective data warehouse 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 data warehouse systems. The study attempted to develop a comprehensive model for the success of data warehouse systems by adapting the updated DeLone and McLean IS Success Model. Researcher models the relationship between the quality factors on the one side and the net benefits of data warehouse on the other side. This study used quantitative method to test the research hypotheses by survey data. The data were collected by using a web-based survey. The sample consisted of 244 members of The Data Warehouse Institution (TDWI) working in variety industries around the world. 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 data warehouse systems. Analysis using descriptive analysis, factor analysis, correlation analysis and regression analysis resulted in the support of all hypotheses. The research results indicated that there are statistically positive causal relationship between each quality factors and the net benefits of the data warehouse systems. These results imply that the net benefits of the data warehouse systems increases when the overall qualities were increased. Yet, little thought seems to have been given to what the data warehouse success is, what is necessary to achieve the success of data warehouse, and what benefits can be realistically expected. Therefore, it appears nearly certain and plausible that the way data warehouse systems success is implemented in the future could be changed

Services Via Mobility Portal for University Utara Malaysia

The technology such as mobile has become an important medium for people to communicate between each other. This research used the Object Oriented Methodology (OOM) as a guideline. The goal of this research project is to develop Mobile Portal System for UUM Information Services using Wireless Application Protocol (WAP) technology that supports the use of smart phones devices for the benefit of the public. A brief overview of several mobile technologies is presented. The development process and problems encountered when designing the prototype of the Mobile Portal System is discussed in this paper. The usability testing conducted in this research revealed that the WAP site application is effective and should be implemented for UUM Mobile Portal System

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