Mining association rules for identifying critical factors affecting the implementation of business intelligence systems through WST-WFIM algorithm

Nalousi, Saeed; Farhang, Yousef; Babazadeh Sangar, Amin; Majidzadeh, Kambiz

doi:10.22075/ijnaa.2022.28571.3929

Mining association rules for identifying critical factors affecting the implementation of business intelligence systems through WST-WFIM algorithm

Document Type : Research Paper

Authors

Saeed Nalousi ¹

Yousef Farhang ²

Amin Babazadeh Sangar ¹

Kambiz Majidzadeh ¹

¹ Department of IT and Computer Engineering, Urmia Branch, Islamic Azad University, Urmia 57169-63896, Iran.

² Department of IT and Computer Engineering, Khoy Branch, Islamic Azad University, Khoy 58135-175, Iran

10.22075/ijnaa.2022.28571.3929

Abstract

In spite of the various advantages of Business Intelligence Systems (BIS), implementing them brings different challenges. Implementing BIS without considering the related challenges and determinants will increase the total cost and decrease added value for the organization. In this study, a questionnaire is developed to identify the critical factors affecting the implementation of BIS in automotive parts manufacturing companies and analyzed through a data mining technique, namely association rules, and the WST-WFIM algorithm on weighted data. The algorithm aims to extract sets of frequent rules and their weights (determined according to their importance) obtained from an expert panel. Taguchi method was adapted to design the algorithm's optimized parameters in order to obtain more effective rules. After applying the new algorithm to effective weighted factors, the relation and importance of each collection of effective factors are analyzed. The findings showed that, from the experts' viewpoint, the most important factors for successful implementation of BIS include (1) Removing potential negative resistances and barriers in spite of the various advantages of the Business Intelligence Systems (BIS), implementing them brings different challenges. Implementing BIS without considering the related challenges and determinants will increase the total cost and decrease added value for the organization. In this study, a questionnaire is developed to identify the critical factors affecting the implementation of BIS in automotive parts manufacturing companies and analyzed through a data mining technique, namely association rules, and the WST-WFIM algorithm on weighted data. The algorithm aims to extract sets of frequent rules and their weights (determined according to their importance) obtained from an expert panel. Taguchi method was adapted to design the algorithm's optimized parameters in order to obtain more effective rules. After applying the new algorithm to effective weighted factors, the relation and importance of each collection of effective factors are analyzed. The findings showed that, from the experts' viewpoint, the most important factors for successful implementation of BIS include (1) Removing potential negative resistances and barriers to implement BIS, (2) alignment between business strategy and BIS characteristics; and (3) system reliability, flexibility, and scalability. implement BIS, (2) alignment between business strategy and BIS characteristics; and (3) system reliability, flexibility, and scalability.

Keywords

Business Intelligence

Data Mining

Weighted Association Rules

WST-WFIM Algorithm

Taguchi method

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