TY - JOUR
T1 - Prioritizing Barriers and Strategies Mapping in Business Intelligence Projects Using Fuzzy AHP TOPSIS Framework in Developing Country
AU - Hapsari, Ika Chandra
AU - Anandya, Rayhan
AU - Hidayanto, Achmad Nizar
AU - Budi, Nur Fitriah Ayuning
AU - Phusavat, Kongkiti
N1 - Funding Information:
This research was funded by the PDUPT Grant of the Indonesian Ministry of Education, Culture, Research and Technology NKB-074/UN2.RST/HKP.05.00/2021 entitle ?Pengembangan Konsep Tourism Information Service Untuk Smart Experience Pariwisata di Indonesia?.
Publisher Copyright:
© 2022 by the authors. Licensee ESJ, Italy.
PY - 2022/4
Y1 - 2022/4
N2 - 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.
AB - 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.
KW - BI barriers
KW - BI implementation
KW - BI strategic
KW - Business intelligence
KW - Fuzzy AHP TOPSIS
KW - MCDM
UR - http://www.scopus.com/inward/record.url?scp=85126761678&partnerID=8YFLogxK
U2 - 10.28991/ESJ-2022-06-02-010
DO - 10.28991/ESJ-2022-06-02-010
M3 - Article
AN - SCOPUS:85126761678
SN - 2610-9182
VL - 6
SP - 337
EP - 355
JO - Emerging Science Journal
JF - Emerging Science Journal
IS - 2
ER -