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. Doi: 10.28991/ESJ-2022-06-02-010 Full Text: PDF
Highlights
In today's increasingly competitive business environment, decision-making speed and accuracy are critical
This study aims to determine the priority of obstacles and the right strategy to overcome these obstacles in the development of Business Intelligence (BI) projects using fuzzy AHP TOPSIS
It analyzes the priorities of obstacles and strategies that influence the development of the BI project
Summary
In today's increasingly competitive business environment, decision-making speed and accuracy are critical. The decision-making process is no longer relevant by relying only on intuition because the problems are becoming increasingly complex and complicated. It needs more reliable data analysis within the company [1, 2]. According to Dehghan et al (2013) [3], data analysis in decision-making is one of the factors that can determine whether a company can survive in business competition. BI has become an essential competitive advantage for companies nowadays [2, 4]. According to Cognini et al (2014) [5], BI can provide companies with information about the right people, the right time, and the right channels for their business interests. Because of BI's ability to support business, IT managers make BI project implementation a top priority nowadays [2]
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