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All Journal Jurnal Ilmu Ekonomi dan Bisnis
Fadil Azury Farega Rambe
Universitas Negeri Medan
Economics, Econometrics & Finance

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Pemanfaatan Data Analytics dalam Pengambilan Keputusan Bisnis: Sebuah Kajian Literatur Fadil Azury Farega Rambe; Nastiar Saputra Rangkuti; Raihan Ananda Azma; Muhammad Rizal
Jurnal Ilmu Ekonomi dan Bisnis Vol 4 No 1 (2026): April, Jurnal Ilmu Ekonomi dan Bisnis
Publisher : Perkumpulan Konsultan Manajemen Pendidikan Indonesia (PKMPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65510/jieb.v4i1.197

Abstract

The digital transformation in the era of Industry 4.0 has positioned data as a strategic resource that plays a pivotal role in supporting business decision-making. This study aims to explore the contributions, benefits, and challenges of implementing big data analytics in the contexts of fraud detection, audit quality enhancement, and business strategy optimization. Employing a descriptive qualitative approach through a systematic literature review of various empirical and conceptual studies, the findings reveal that big data analytics significantly improves audit effectiveness, accelerates data analysis, and strengthens oversight functions through the integration ofmachine learning and deep learning technologies. Furthermore, data analytics functions as a strategic instrument for risk management, financial forecasting, and enhancing organizational competitiveness. However, its implementation in Indonesia still encounters challenges such as limited digital infrastructure, low data literacy, and insufficient data-driven organizational culture. The findings underscore that the success of big data analytics adoption relies on the synergy between technology, human resources, and organizational strategies, aligned with the Technology-Organization-Environment (TOE) framework. Practically, this study recommends investment in digital infrastructure, continuous capacity building for human resources, and fostering a data-driven culture as fundamental steps to strengthen governance quality, audit effectiveness, and business decision-making in the digital era..
Peran Identifikasi Risiko Dalam Mendukung Efektivitas Manajemen Risiko Organisasi: Perspektif ISO 31000:2018 dan COSO ERM Fadil Azury Farega Rambe; Raihan Ananda Azma
Jurnal Ilmu Ekonomi dan Bisnis Vol 4 No 2 (2026): Oktober, Jurnal Ilmu Ekonomi dan Bisnis
Publisher : Perkumpulan Konsultan Manajemen Pendidikan Indonesia (PKMPI)

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Abstract

Risk identification is a crucial stage in risk management as it serves as the foundation for risk analysis, evaluation, and control processes. This study aims to analyze the role of risk identification in organizational risk management based on the ISO 31000:2018 and COSO Enterprise Risk Management (ERM) frameworks. The research employs a qualitative approach through a literature review by examining various relevant academic sources. The findings indicate that risk identification plays a strategic role in enhancing organizational awareness of potential risks and supporting more effective decision-making. Various techniques can be applied in the risk identification process, including brainstorming, checklists, interviews, SWOT analysis, Failure Mode and Effects Analysis (FMEA), and historical data analysis. The primary output of this process is a risk register containing information on risk sources, causes, and potential impacts. The study concludes that the integrated implementation of ISO 31000:2018 principles and the COSO ERM framework can strengthen organizational risk management practices through a systematic and comprehensive risk identification process.
Co-Authors Muhammad Rizal Nastiar Saputra Rangkuti Raihan Ananda Azma