Sari M, Fitri Indah
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Leveraging Big Data for Competitive Advantage: A Review in Business Analytics Baottong, Mozes Haryanto; Baharuddin, Ceskakusumadewi; Sari M, Fitri Indah; Sasmita, Halida; Salam, Karta Negara
Advances in Management & Financial Reporting Vol. 3 No. 3 (2025): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/amfr.v3i3.604

Abstract

Purpose: This study examines the strategic integration of big data analytics for achieving competitive advantage in business analytics. Research Method: This study employs a mixed-methods approach, integrating a comprehensive literature review with empirical investigation. Quantitative data was collected via surveys from 200 senior executives, data scientists, and IT managers across various industries. Qualitative data were gathered through semi-structured interviews with 30 participants, providing in-depth insights into the strategic, organizational, and cultural factors influencing the implementation of big data. Results and Discussion: The findings reveal that strategic alignment is crucial for the successful implementation of significant data initiatives—companies with clear strategic alignment report higher returns on investment. Big data significantly enhances customer segmentation, targeting, and personalization in marketing, while also improving supply chain visibility and resilience. However, challenges such as the skills gap, data quality issues, and security concerns impede effective utilization. The study emphasizes the importance of fostering a data-driven culture and implementing robust data governance frameworks. The discussion links these findings with theoretical concepts, supporting hypotheses, and prior research, highlighting the need for integrated frameworks that align significant data initiatives with business strategies. Implications: The study provides practical guidelines for organizations to enhance their competitive advantage by leveraging big data. Recommendations include developing integrated strategies, investing in training programs, promoting data literacy, and ensuring high data quality and security. Addressing these challenges enables organizations to leverage big data analytics for a sustained competitive advantage fully.
Analysis of the Use of Forecasting to Compare Financing Options and Its Impact on Business Decisions Singkeruang, A. We Tenri Fatimah; Saeni, Nuraeni; Ramlah, Ramlah; Sari M, Fitri Indah
Advances in Management & Financial Reporting Vol. 3 No. 3 (2025): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/amfr.v3i3.613

Abstract

Purpose: This study aims to explore the role of forecasting in comparing financing options and its impact on business decision-making. It focuses on how forecasting tools help companies select financing strategies that align with their long-term financial goals and sustainability objectives. Research Method: A Systematic Literature Review (SLR) methodology was employed to analyze existing studies related to forecasting in financial decision-making, with a particular emphasis on integrating sustainability factors, such as environmental, social, and governance (ESG) considerations, into financing decisions. Results and Discussion: The findings highlight that forecasting gives businesses essential insights into future cash flows, capital needs, and market conditions, enabling informed financing decisions. Accurate forecasting influences the choice between debt and equity financing, mitigates financial risks, and improves long-term stability. The study also highlights the growing importance of incorporating ESG factors into financial forecasting to align financing decisions with sustainability goals. This trend is becoming increasingly relevant in modern corporate finance. Implications: The practical implications suggest businesses integrate forecasting models, including financial and ESG metrics, to ensure sustainable financing decisions. By forecasting, companies can effectively manage risks, enhance adaptability, and align their financial strategies with long-term objectives. This research contributes to the field by offering a novel approach that merges traditional economic analysis with sustainability considerations, providing financial managers with the tools to make data-driven, strategic decisions.