TY - JOUR
KW - Business Analysis With Expert Assessment
KW - Business Intelligence
KW - Candidate Product
KW - ICT Ecosystem
KW - Machine Learning
AU - Fulgencio Sánchez-Torres
AU - Iván González
AU - Cosmin C. Dobrescu
AB - Cost control is a recurring problem in companies where studies have provided different solutions. The main objective of this research is to propose and validate an alternative to cost control using data science to support decision-making using the business intelligence 4.0 paradigm. The work uses Machine Learning (ML) to support decision-making in company cost-control management. Specifically, we used the ability of hierarchical agglomerative clustering (HAC) algorithms to generate clusters and suggest possible candidate products that could be substituted for other, more cost-effective ones. These candidate products were analyzed by a panel of company experts, facilitating decisions based on business costs. We needed to analyze and modify the company's ecosystem and its associated variables to obtain an adequate data warehouse during the study, which was developed over three years and validated HAC as a support to decision-making in cost control.
IS - Special Issue on Artificial Intelligence in Economics, Finance and Business
M1 - 3
N2 - Cost control is a recurring problem in companies where studies have provided different solutions. The main objective of this research is to propose and validate an alternative to cost control using data science to support decision-making using the business intelligence 4.0 paradigm. The work uses Machine Learning (ML) to support decision-making in company cost-control management. Specifically, we used the ability of hierarchical agglomerative clustering (HAC) algorithms to generate clusters and suggest possible candidate products that could be substituted for other, more cost-effective ones. These candidate products were analyzed by a panel of company experts, facilitating decisions based on business costs. We needed to analyze and modify the company's ecosystem and its associated variables to obtain an adequate data warehouse during the study, which was developed over three years and validated HAC as a support to decision-making in cost control.
PY - 2022
SP - 86
EP - 95
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Machine Learning in Business Intelligence 4.0: Cost Control in a Destination Hotel
UR - https://www.ijimai.org/journal/sites/default/files/2022-02/ijimai7_3_8_0.pdf
VL - 7
SN - 1989-1660
ER -