Penerapan Big Data Analytics Dalam Pengambilan Keputusan Bisnis

Authors

  • Falah Adrianus Hia Universitas Tjut Nyak Dhien
  • Fricles Ariwisanto Sianturi Universitas Tjut Nyak Dhien

DOI:

https://doi.org/10.69688/juksit.v3i2.70

Keywords:

Big Data, Keputusan Bisnis, Teknologi, Strategi Bisnis, Sistem Informasi Manajemen

Abstract

Penelitian ini mengevaluasi peran teknologi Big Data dalam menciptakan keunggulan kompetitif bagi perusahaan melalui pendekatan analitik, meliputi metode deskriptif, prediktif, dan preskriptif. Big Data, yang merupakan kumpulan data sangat besar dan kompleks, memberikan solusi inovatif dalam analisis data bisnis, pengambilan keputusan, dan strategi keuangan. Teknologi ini memungkinkan organisasi bisnis, pemerintahan, dan sektor pariwisata untuk mengakses data secara real-time, meningkatkan respons terhadap keluhan pelanggan, serta mendukung keputusan investasi saham yang lebih akurat. Penelitian ini menyoroti pentingnya Sistem Informasi Manajemen berbasis Big Data untuk mendukung pengambilan keputusan strategis di berbagai bidang,

References

S. F. Wamba, A. Gunasekaran, S. Akter, S. J. fan Ren, R. Dubey, and S. J. Childe, “Big data analytics and firm performance: Effects of dynamic capabilities,” J. Bus. Res., vol. 70, pp. 356–365, 2017, doi: 10.1016/j.jbusres.2016.08.009.

M. K. Saggi and S. Jain, “A survey towards an integration of big data analytics to big insights for value-creation,” Inf. Process. Manag., vol. 54, no. 5, pp. 758–790, 2018, doi: 10.1016/j.ipm.2018.01.010.

F. Stadtherr and M. Wouters, “Extending target costing to include targets for R&D costs and production investments for a modular product portfolio—A case study,” Int. J. Prod. Econ., vol. 231, pp. 234–246, 2021, doi: 10.1016/j.ijpe.2020.107871.

S. Akter, S. F. Wamba, and A. Gunasekaran, “Big data analytics capability and decision making performance in retail,” Inf. Manag, vol. 57, no. 8.

J. Wu, S. Song, and C. H. Whang, “Personalizing 3D virtual fashion stores: Exploring modularity with a typology of atmospherics based on user input,” Inf. Manag., vol. 58, no. 4, p. 103461, 2021, doi: 10.1016/j.im.2021.103461.

A. Mathur and C. P. Gupta, “Big Data Challenges and Issues: A Review,” Lect. Notes Data Eng. Commun. Technol., vol. 31, no. 1, pp. 446–452, 2020, doi: 10.1007/978-3-030-24643-3_53.

G. Santoro, D. Vrontis, A. Thrassou, and L. Dezi, “The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity,” Technol. Forecast. Soc. Change, vol. 136, pp. 347–354, 2018, doi: 10.1016/j.techfore.2017.02.034.

P. Maroufkhani, W. K. Wan Ismail, and M. Ghobakhloo, “Big data analytics adoption model for small and medium enterprises,” J. Sci. Technol. Policy Manag., vol. 11, no. 2, pp. 171–201, 2020, doi: 10.1108/JSTPM-02-2020-0018.

V. Kotu and B. Deshpande, Data science: Concepts and practice. Morgan Kaufmann.

S. Yu and Y. Hu, “When luxury brands meet China: The effect of localized celebrity endorsements in social media marketing,” J. Retail. Consum. Serv., vol. 54, p. 102010, 2020, doi: 10.1016/j.jretconser.2019.102010.

S. K. Singh and M. Del Giudice, “Big data analytics, dynamic capabilities and firm performance,” Manag. Decis., vol. 57, no. 8, pp. 1729–1733, 2019, doi: 10.1108/MD-08-2019-020.

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Published

2025-06-30

How to Cite

Adrianus Hia, F., & Sianturi, F. A. (2025). Penerapan Big Data Analytics Dalam Pengambilan Keputusan Bisnis. Jurnal Kolaborasi Sains Dan Ilmu Terapan, 3(2), 45–50. https://doi.org/10.69688/juksit.v3i2.70