Main Article Content
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.
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References
- Adaga, M. (2024). Leveraging Big Data for competitive advantage in business analytics: A comprehensive review. Journal of Business Analytics, 18(2), 145-162. https://doi.org/10.1080/2573234X.2024.1412345
- Adewusi, K. (2024). Integrating Business Intelligence and Big Data Analytics for a competitive edge. Business Intelligence Journal, 22(1), 67-83. https://doi.org/10.1108/BIJ-03-2023-0071
- Brynjolfsson, E., Hitt, L. M., & Kim, H. H. (2011). Strength in numbers: How does data-driven decision-making affect firm performance? Social Science Research Network. https://doi.org/10.2139/ssrn.1819486
- Cichy, P., & Rass, S. (2019). Ensuring data quality and data security in Big Data environments. Journal of Big Data, 6, 43. https://doi.org/10.1186/s40537-019-0205-2
- Davenport, T. H., & Patil, D. J. (2012). Data scientist: The sexiest job of the 21st century. Harvard Business Review, 90(10), 70-76. https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
- Dubey, R., Gunasekaran, A., & Childe, S. J. (2019). Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility. Management Decision, 57(8), 2092-2112. https://doi.org/10.1108/MD-01-2018-0119
- Fosso Wamba, S., Gunasekaran, A., Akter, S., Ren, S. J.-F., Dubey, R., & Childe, S. J. (2015). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365. https://doi.org/10.1016/j.jbusres.2016.08.009
- García, A. (2024). Big Data and Industry 4.0: Contributions to business competitiveness. Journal of Industrial Information Integration, 25, 100314. https://doi.org/10.1016/j.jii.2024.100314
- Goel, R. (2023). Data privacy and ethical considerations in Big Data analytics. Journal of Business Ethics, 174(3), 489-506. https://doi.org/10.1007/s10551-022-04987-4
- Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064. https://doi.org/10.1016/j.im.2016.07.004
- McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60-68. https://hbr.org/2012/10/big-data-the-management-revolution
- Ochuba, G. (2024). Strategic approaches to data management and analytics in business development. Journal of Strategic Information Systems, 33(1), 89-104. https://doi.org/10.1016/j.jsis.2023.101678
- Ramadhan, M. (2024). Enhancing decision-making processes through Big Data analytics: A sectoral analysis. Decision Support Systems, 138, 113397. https://doi.org/10.1016/j.dss.2024.113397
- Shahid, A. (2021). The role of Big Data in business competitiveness and innovation. Journal of Innovation Management, 9(1), 23-35. https://doi.org/10.1108/JIM-12-2020-0187
- Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2017). How 'big data' can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234-246. https://doi.org/10.1016/j.ijpe.2014.03.014
References
Adaga, M. (2024). Leveraging Big Data for competitive advantage in business analytics: A comprehensive review. Journal of Business Analytics, 18(2), 145-162. https://doi.org/10.1080/2573234X.2024.1412345
Adewusi, K. (2024). Integrating Business Intelligence and Big Data Analytics for a competitive edge. Business Intelligence Journal, 22(1), 67-83. https://doi.org/10.1108/BIJ-03-2023-0071
Brynjolfsson, E., Hitt, L. M., & Kim, H. H. (2011). Strength in numbers: How does data-driven decision-making affect firm performance? Social Science Research Network. https://doi.org/10.2139/ssrn.1819486
Cichy, P., & Rass, S. (2019). Ensuring data quality and data security in Big Data environments. Journal of Big Data, 6, 43. https://doi.org/10.1186/s40537-019-0205-2
Davenport, T. H., & Patil, D. J. (2012). Data scientist: The sexiest job of the 21st century. Harvard Business Review, 90(10), 70-76. https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
Dubey, R., Gunasekaran, A., & Childe, S. J. (2019). Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility. Management Decision, 57(8), 2092-2112. https://doi.org/10.1108/MD-01-2018-0119
Fosso Wamba, S., Gunasekaran, A., Akter, S., Ren, S. J.-F., Dubey, R., & Childe, S. J. (2015). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365. https://doi.org/10.1016/j.jbusres.2016.08.009
García, A. (2024). Big Data and Industry 4.0: Contributions to business competitiveness. Journal of Industrial Information Integration, 25, 100314. https://doi.org/10.1016/j.jii.2024.100314
Goel, R. (2023). Data privacy and ethical considerations in Big Data analytics. Journal of Business Ethics, 174(3), 489-506. https://doi.org/10.1007/s10551-022-04987-4
Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064. https://doi.org/10.1016/j.im.2016.07.004
McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60-68. https://hbr.org/2012/10/big-data-the-management-revolution
Ochuba, G. (2024). Strategic approaches to data management and analytics in business development. Journal of Strategic Information Systems, 33(1), 89-104. https://doi.org/10.1016/j.jsis.2023.101678
Ramadhan, M. (2024). Enhancing decision-making processes through Big Data analytics: A sectoral analysis. Decision Support Systems, 138, 113397. https://doi.org/10.1016/j.dss.2024.113397
Shahid, A. (2021). The role of Big Data in business competitiveness and innovation. Journal of Innovation Management, 9(1), 23-35. https://doi.org/10.1108/JIM-12-2020-0187
Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2017). How 'big data' can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234-246. https://doi.org/10.1016/j.ijpe.2014.03.014