Identification of User Preference for Multi-Criteria Reporting in Business Intelligence

Author:

Aruldoss Martin1,Travis Miranda Lakshmi2,Venkatasamy Prasanna Venkatesan3

Affiliation:

1. Central University of Tamil Nadu, India

2. Bharathiyar University, India

3. Pondicherry University, India

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.

Publisher

IGI Global

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