Prioritizing Barriers and Strategies Mapping in Business Intelligence Projects Using Fuzzy AHP TOPSIS Framework in Developing Country

Author: Hapsari, Ika Chandra; Anandya, Rayhan; Hidayanto, Achmad Nizar; Budi, Nur Fitriah Ayuning; Phusavat, Kongkiti
Informations
JournalEmerging Science Journal
PublisherItal Publication
Volume & IssueVol. 6,Issue 2
Pages337 - 355
Publication Year2022
ISSN26109182
Source TypeScopus
Citations
Scopus: 11
Google Scholar: 11
PubMed: 11
Abstract
Business Intelligence (BI) is an essential technology in an increasingly competitive landscape since it helps make decisions more accurately. To achieve an effective BI implementation, the organization must formulate the right strategy to overcome its challenges. This research aimed to develop a framework to map barriers into strategies using qualitative and quantitative methods. The qualitative approach is driven by interviewing BI experts to validate the barriers and strategies previously obtained. Based on the interview, there are 19 barriers and 9 strategies that could be used. The quantitative approach compiles a priority list of the most significant barriers and the most effective strategies to overcome these barriers using fuzzy AHP TOPSIS, an MCDM method to eliminate inconsistencies during ranking. The results indicate that the lack of collaboration between the IT and BI departments, the BI implementation demands to be done quickly, and low data quality are the main barriers that hinder BI's success. This research also found that business people's involvement in a BI project is the best strategy to overcome the obstacles. The chances of a successful BI implementation will increase by having good cooperation between IT and business units within the company. © 2022 by the authors. Licensee ESJ, Italy.
Documents & Links

© 2025 Universitas Indonesia. All rights reserved.