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All Journal Data : Journal of Information Systems and Management
Noviany , Henny
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Computer Science & IT Decision Sciences, Operations Research & Management

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Journal : data journal of information systems and management

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A Narrative Review of the Integration of Big Data Analytics and Business Intelligence in Organizational Decision-Making Noviany , Henny
Data : Journal of Information Systems and Management Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v3i4.710

Abstract

The integration of Big Data Analytics (BDA) and Business Intelligence (BI) has become increasingly vital for enhancing strategic decision-making within contemporary organizations. This narrative review aims to investigate how the convergence of BDA and BI influences decision-making processes, particularly in sectors such as finance, healthcare, manufacturing, and retail. The review employed comprehensive literature searches across Scopus, Web of Science, and Google Scholar using keyword combinations like “Big Data Analytics”, “Business Intelligence”, and “Decision Making”. Inclusion criteria prioritized peer-reviewed journal articles from the past decade. Findings reveal that BDA enables organizations to analyze large-scale data for hidden insights, while BI transforms these insights into visual and actionable intelligence. Together, they contribute to increased decision accuracy, cost reduction, and enhanced performance. Artificial Intelligence (AI), particularly machine learning and natural language processing, further amplifies these outcomes by enabling rapid and nuanced analysis of structured and unstructured data. However, systemic barriers persist, including fragmented data infrastructure, limited human capital, and concerns over data ethics and compliance. This review highlights the need for organizations to adopt a holistic, cross-functional approach to data integration while investing in digital skills development. It also underscores the importance of regional readiness and industry-specific strategies. The findings inform policymakers, practitioners, and scholars on the strategic imperatives for integrating BDA and BI to sustain innovation, responsiveness, and competitive advantage in the digital age
Beyond Technology: A Narrative Review of Organizational Dynamics in IT Change Management Noviany , Henny
Data : Journal of Information Systems and Management Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i2.718

Abstract

This narrative review examines the organizational, technological, and human factors shaping IT-enabled change management (ITCM), with a particular focus on healthcare systems. The objective is to synthesize current evidence and highlight strategies that facilitate successful digital transformation across diverse contexts. A structured search was conducted in Scopus, Web of Science, PubMed, and Google Scholar, covering studies published between 2013 and 2023. Literature was selected based on relevance to ITCM, organizational readiness, stakeholder engagement, and implementation outcomes. A thematic analysis was applied to identify critical success factors and systemic challenges. Key findings indicate that adaptive organizational culture, strong leadership, and early stakeholder involvement are essential enablers of ITCM. Technological factors such as interoperability and system complexity remain major barriers, often compounded by user resistance. Human resource readiness—particularly digital literacy and training—emerges as a cornerstone of successful adoption. Comparative insights reveal that high-income countries benefit from robust infrastructure and governance, while low- and middle-income countries face persistent barriers related to limited resources and uneven capacity. The review concludes that ITCM requires integrated and context-sensitive strategies that combine technological innovation with organizational adaptability and human capital development. Practical implications include leadership training, cross-functional engagement, and targeted capacity building. Future research should employ longitudinal and system-dynamics approaches to assess sustainability and unintended consequences. This review contributes an integrative framework for understanding ITCM across organizational, technological, and socio-economic dimensions, offering insights for both policy and practice.
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