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The Effectiveness of Business Intelligence Management Implementation in Industry 4.0 Choi, Lee Kyung; Panjaitan, Aropria Saulina; Apriliasari, Dwi
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 2 (2022): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1598.645 KB) | DOI: 10.33050/sabda.v1i2.106

Abstract

Changes in business processes that run very fast in the industrial era 4.0 have positive and negative impacts on business players. Industry 4.0 is a technology that companies need to promote Industry 4.0 is a technology that businesses need to promote innovation strategies and respond quickly in a volatile market. It primarily focuses on interconnectivity, digital technology, predictive analytics, and machine learning to transform the way businesses operate and thrive. As a result, this article suggests and encourages the implementation of Industry 4.0 in organizations. Examining the current state of business intelligence (BI), how it is positively impacting organizations at the economic and business levels in terms of decision making, and some success stories applied across various business, academic, social, and government circles. Furthermore, it discusses the expected future of Industry 4.0, particularly in BI, and how businesses should prepare for this revolution. This article contributes knowledge about the current state and positive consequences of Industry 4.0, as well as the rapid advancement of technology when implemented in organizations and the harmonization of production and intelligent digital technology.
Transforming Higher Education Management through Evidence Based and Data Oriented Approaches Cesna, Galih Putra; Agustiawan, Sonny; Panjaitan, Aropria Saulina; Purnama, Suryari; Ikhsan, Ramiro Santiago
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 2 (2026): March
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i2.951

Abstract

Amid the rapid advancement of digital transformation, higher education institutions are increasingly required to enhance management effectiveness and decision-making quality through the adoption of data-driven innovations. The background of this study highlights the importance of employing an evidence based approach to address the complex managerial and academic challenges faced by universities. The main objective of this research is to analyze how the implementation of data-oriented approaches can drive transformation in higher education governance, particularly in improving institutional performance, administrative efficiency, and strategic planning. This study employs a mixed method approach by combining quantitative analysis of institutional data with 50 qualitative interviews involving academic leaders to explore the relationship between data utilization and institutional management outcomes. The findings reveal that universities implementing robust data governance systems and optimizing analytical tools experience significant improvements in decision-making effectiveness, resource allocation, and stakeholder engagement, resulting in more transparent and adaptive management systems. Furthermore, the study finds that the success of data-driven management is not solely determined by technological readiness but also by organizational culture, leadership commitment, and the data literacy of personnel. In conclusion, the adoption of evidence-based and data-oriented management approaches can significantly transform higher education institutions into more innovative, responsive, and accountable entities capable of adapting to global changes and challenges in the academic landscape.