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Virtual Data Mart for Measuring Organizational Achievement Using Data Virtualization Technique (KPIVDM)
Author(s) -
Ayad Hameed Mousa,
Norshuhada Shiratuddin,
Muhamad Shahbani Abu Bakar
Publication year - 2014
Publication title -
jurnal teknologi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.191
H-Index - 22
eISSN - 2180-3722
pISSN - 0127-9696
DOI - 10.11113/jt.v68.2932
Subject(s) - virtualization , computer science , virtual organization , process (computing) , process management , virtual machine , knowledge management , engineering , cloud computing , operating system , geometry , mathematics , grid
Currently in the dynamic environment, organizations are confronted with new and growingly vital decisions which can impact their very survival. In fact, these demands are increasing the pressure on Information Technology in order to ensure that data will be delivered properly at the right time and faster rate. In this paper, we propose to build a virtual data mart, especially for Organizational KPIs by using data virtualization technology, which can be used to help KPI developers to build and update performance management system quickly and make these systems work in real time. In this paper, we  present a way of identifying and building virtual data marts for Organizational KPIs. The basic principle underlying the proposed approach is that the design of virtual data marts should be driven by the business needs and organizational requirements that each virtual data mart is expected to address. As a consequence, the virtual data mart design process must be based on a deep understanding of the top management’s need and users' expectations. A prototype is recommended to validate the use of the proposed method.

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