نتایج جستجو برای: data warehousing

تعداد نتایج: 2410605  

2009
Rajender Singh Chhillar Barjesh Kochar

Decision support systems have grown to its best with the emergence of data warehousing. The drastic development of data warehousing is proffering organizations with an influential decision support utility which can possibly be effectively employed to sustain supply chain activities throughout a business or industry. Of late, Radio Frequency Identification (RFID) has materialized into an eminent...

2009
John Wang

The Encyclopedia of Data Warehousing and Mining, Second Edition offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalit...

2015
Oscar Romero Alberto Abelló

In the last years, data warehousing systems have gained relevance to support decision making within organizations. The core component of these systems is the data warehouse and nowadays it is widely assumed that the data warehouse design must follow the multidimensional paradigm. Thus, many methods have been presented to support the multidimensional design of the data warehouse.The first method...

2000
Bongsik Shin

Risks are factors frequently beyond control and can negatively impact organizational ability to achieve the established goals. These are factors that create differences between the reality and an ideal situation. Accurate evaluation of potential risks is integral to a large-scale project, especially when the project has enormous and longterm organizational implications. In that aspect, the risk...

Journal: :Proceedings of the American Society for Information Science and Technology 2005

2014
Fadia Hegazy

This study aimed at identifying the impact of system support factors on successful development of data warehousing in the United Arab Emirates. The study framework is formulated based on analysis of related literature coupled with the information gained from interviewing data warehousing

Journal: :CIT 2010
Nenad Jukic John Nicholas

In this paper we address the issue of failure of data warehousing projects due to inadequate requirements collection and definition process. We describe a framework that can help accomplish the objective of developing a business-driven, actionable set of requirements. The framework consists of a series of steps to facilitate collection and definition of requirements in data warehousing projects.

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