Analisis Tren Pasar dan Pengambilan Keputusan Berbasis Data dalam Meningkatkan Daya Saing Bisnis

Khaizure Mirdad; Aulia Rahma Dina; Risma Haris

doi:10.34306/abdi.v5i2.1178

Authors

Khaizure Mirdad Pandawan Incoporation Author
aulia rahmadina PT CAI SEJAHTERA INDONESIA Author
Risma Haris Kurnia Jaya Persada Institute of Health and Business Author https://orcid.org/0000-0001-7860-2624

DOI:

https://doi.org/10.34306/abdi.v5i2.1178

Keywords:

Analisis tren pasar, Pengambilan Keputusan, Kecerdasan Buatan, Daya Saing Bisnis

Abstract

This study investigates the integration of market trend analysis, data-driven decision making, and artificial intelligence in the context of enhancing business competitiveness. Using a quantitative approach and SmartPLS, the relationship between key variables such as Market Trend Analysis (ATP), Data-Driven Decision Making (DADM), Artificial Intelligence (AI), and Business Competitiveness (BSC) is explored. The results of the analysis show that ATP and AI have a significant positive effect on BSC which in turn has a positive effect on BSC. These findings highlight the importance of intelligent use of data and market trend analysis in strategic decision making, which can improve business performance in the face of complex market dynamics. The practical implication of this study is that companies need to develop the ability to manage and analyze data effectively, and utilize insights from data analysis to support adaptive and responsive decision making to market changes.

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