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Identification of User Preference for Multi-Criteria Reporting in Business Intelligence: A Case Study on Banking Business
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Author(s): Martin Aruldoss (Central University of Tamil Nadu, India), Miranda Lakshmi Travis (Bharathiyar University, India)and Prasanna Venkatesan Venkatasamy (Pondicherry University, India)
Copyright: 2018
Pages: 32
Source title:
Improving E-Commerce Web Applications Through Business Intelligence Techniques
Source Author(s)/Editor(s): G. Sreedhar (Rashtriya Sanskrit Vidyapeetha (Deemed University), India)
DOI: 10.4018/978-1-5225-3646-8.ch002
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Abstract
Business intelligence (BI) is an integrated set of tools used to support the transformation of data into information in order to support decision making. Among different functionalities, reporting plays a significant role that provides information to its readers to make better decisions. BI lacks user-specific reporting to the different levels of users of an organization. Different users require different kinds of reporting with respect to different requirement (criteria) in an organization. A multi-criteria reporting (MCR) finds the suitable information to suitable user based on the multiple conflicting preferences of a user. Technique for order preference by similarity to ideal solution (TOPSIS) is the most popularly applied multi-criteria decision-making (MCDM) technique selected to identify different levels of user preference for MCR. Banking business is considered as a case study to identify user preference for MCR. This research also designs evaluation metrics for TOPSIS.
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