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A multi-dimensional database model for research performance analysis


Article Information

Title: A multi-dimensional database model for research performance analysis

Authors: Fatin Shahirah Zulkepli, Roliana Ibrahim, Aryati Bakri, Nor Hawaniah Zakaria, Haza Nuzly Abdull Hamed, Hazimah Khalid Mohd Aizaini Maarof

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 23

Language: English

Categories

Abstract

Business Intelligence (BI) system mix operational data with analytical tools to represent descriptive and complicated data to groups of decision maker. BI aim to enhance the features and accuracy of data to the decision making process. Nowadays, BI are widely applied in industry as BI aid in decision making and strategic planning. In order to achieve that, BI pulls and gathers information from variety sources of information systems. To make BI data meaningful, a conceptual dimensional database is needed to represent all data stored in one particular BI. Multi-dimensional database (MDB) is one type of database which possessed ability to process database rapidly so the results can be generated in no time. MDB also optimized the functionalities of data warehouse. Although business intelligence and MDB is broadly used in business institutions, research related about them is limited especially in academic performance area. Therefore, this research study aim to develop a BI framework for online reporting system. Hence, the objective of this paper is to review and discuss the relationship of BI with MDB for Universiti Teknologi Malaysia (UTM) research performance. In the future, this research study expected to propose a data model of online reporting system for upper management dashboard.


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