Journal ArticleDOI
Features to consider in a data warehousing system
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Evaluating and assessing the important distinctions between data processing capability and data currency.Abstract:
Evaluating and assessing the important distinctions between data processing capability and data currency.read more
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Business Intelligence: An Analysis of the Literature
TL;DR: This publication contains reprint articles for which IEEE does not hold copyright and which are likely to be copyrighted.
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A fuzzy-based decision-making procedure for data warehouse system selection
TL;DR: A fuzzy multi-criteria decision-making procedure, to facilitate data warehouse system selection, with consideration given to both technical and managerial criteria is proposed, which can systematically construct the objectives of DW systems selection.
Journal ArticleDOI
Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review
TL;DR: Using a systematic literature review, comprehensive knowledge is presented about what has been found in the domain of BI system adoption, utilization and success and future directions for researchers and practitioners in terms of unexplored themes that may help organizations to obtain value from BI systems are suggested.
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An empirical investigation of factors influencing the adoption of data mining tools
TL;DR: A theoretical model based on the Technology Acceptance Model 3 is developed and its perceived usefulness, perceived ease of use, and its ability to explain users’ intentions to use DMTs are examined, demonstrating that the proposed model explains 58% of the variance.
Journal ArticleDOI
A Structural Model of Data Warehousing Success
Mark I. Hwang,Hongjiang Xu +1 more
TL;DR: A research model is developed to better understand the critical success factors and their effects on data warehousing success and is useful for comparing findings across studies and for selecting variables for future research.
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Perceived Usefulness, Perceived Ease of Use, and User
TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
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Building the data warehouse
TL;DR: Y the authors' company decides to build a data warehouse and you are designated the project manager, and you have specific questions that need specific answers, and building a data Warehouse is an extremely complex process.
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Data warehousing supports corporate strategy at first American corporation 1,2
TL;DR: FAC's experiences suggest lessons for managers who plan to use technology to support changes that are designed to significantly improve organizational performance and raise interesting questions about the means by which information technology can be used to gain a competitive advantage.
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The Catch data warehouse: support for community health care decision-making
TL;DR: The technical challenges of designing and implementing an effective data warehouse for health care information and ongoing research directions in health care data warehousing and community health care decision-making are focused on.