HARNESSING BUSINESS DATA ANALYTICS FOR COMPETITIVE ADVANTAGE IN THE DIGITAL ERA
DOI:
https://doi.org/10.59415/mjacs.v3i2.175Keywords:
Business Data Analytics, Innovation, Market dynamics, Data analysis.Abstract
In the fast-paced, data-driven landscape of modern business, the ability to harness the power of data analytics has become paramount for organizations seeking to gain a competitive edge, drive innovation, and navigate complex market dynamics. Business Data Analytics, the practice of collecting, analysing, and interpreting data to derive actionable insights, lies at the heart of this digital transformation journey. This presentation offers a comprehensive exploration of Business Data Analytics, providing insights into its foundational principles, cutting-edge methodologies, and real-world applications across diverse industries. This presentation serves as a roadmap for organizations seeking to unlock the transformative power of Business Data Analytics. By embracing a data-driven mindset, investing in cutting-edge analytics capabilities, and fostering a culture of continuous learning and experimentation, organizations can position themselves for success in an ever-evolving business environment. As we look to the future, the opportunities for Business Data Analytics are limitless, offering organizations the tools they need to thrive and innovate in the digital age.
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References
Johnson, Emily, et al.
Unlocking Business Value Through Data Analytics: A Case Study Approach.
Journal of Business Research, vol. 25, no. 3, 2021, pp. 367-382. ISSN: 0148-2963
https://optimizdba.com/unlocking-business-value-with-data-and-analytics/
Gupta, Rahul, et al.
The Impact of Business Data Analytics on Organizational Performance: Empirical Evidence from the Financial Sector."
International Journal of Information Management, vol. 40, no. 4, 2019, pp. 462-475.
https://journalofbigdata.springeropen.com/articles/10.1186/s40537-020-00317-6
Lee, David, et al.
Business Data Analytics Adoption and Firm Performance: A Longitudinal Study.
Decision Support Systems, vol. 123, no. 1, 2020, pp. 113-126. ISSN- 1067-9236
https://www.researchgate.net/publication/343246955_Business_Analytics_Adoption_in_Firms
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Copyright (c) 2025 A.Sasikala, Merccy Minerva T

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