Leveraging Big Data Analytics for Enhanced Decision-Making in Business Intelligence

Leveraging Big Data Analytics for Enhanced Decision-Making in Business Intelligence

Authors

  • Sandip J. Gami
  • Dr Iti Batra

Abstract

This research paper delves into the transformative impact of big data analytics on business intelligence (BI) and decision-making processes. In an era where data is generated at unprecedented rates, businesses must harness the power of big data to gain actionable insights and maintain a competitive edge. The study explores advanced analytics techniques, including machine learning algorithms, predictive analytics, and real-time data processing, to uncover patterns, trends, and correlations within vast data sets. By integrating these techniques into BI systems, organizations can enhance their decision-making capabilities, leading to more informed strategies and operational efficiencies. Through a combination of theoretical frameworks and practical case studies, the paper illustrates the benefits and challenges of implementing big data analytics in various industries. The findings highlight the critical role of data governance, data quality, and the need for skilled data professionals to successfully leverage big data for improved business outcomes.

References

Olaniyi, O., Abalaka, A., & Olabanji, S. O. (2023). Utilizing big data analytics and business intelligence for improved decision-making at leading fortune company. Journal of Scientific Research and Reports, 29(9), 64-72.

Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. B. (2021). Organizational business intelligence and decision making using big data analytics. Information Processing & Management, 58(6), 102725.

Sun, Z., Sun, L., & Strang, K. (2018). Big data analytics services for enhancing business intelligence. Journal of Computer Information Systems, 58(2), 162-169.

Osuszek, L., Stanek, S., & Twardowski, Z. (2016). Leverage big data analytics for dynamic informed decisions with advanced case management. Journal of Decision systems, 25(sup1), 436-449.

Gad-Elrab, A. A. (2021). Modern business intelligence: Big data analytics and artificial intelligence for creating the data-driven value. E-Business-Higher Education and Intelligence Applications, 135.

Rosário, A. T. (2024). How Business Intelligence and Data Analytics Can Leverage Business. In Data-Driven Business Intelligence Systems for Socio-Technical Organizations (pp. 56-84). IGI Global.

Ranjan, J., & Foropon, C. (2021). Big data analytics in building the competitive intelligence of organizations. International Journal of Information Management, 56, 102231.

Sachdeva, L., Upadhyay, N., & Sehgal, R. (2023). Social Media Analytics and Business Intelligence: Leveraging Management Information System for Competitive Advantage. Migration Letters, 20(S 13), 51-60.

Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2019). From Data to Insights: Leveraging AI and Reciprocal Symmetry for Business Intelligence. Asian Journal of Applied Science and Engineering, 8(1), 73-84.

Balachandran, B. M., & Prasad, S. (2017). Challenges and benefits of deploying big data analytics in the cloud for business intelligence. Procedia Computer Science, 112, 1112-1122.

Demirkan, H., & Delen, D. (2013). Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems, 55(1), 412-421.

Dhaliwal, N. Towards AI-Driven Standardization in Disease Indication: Implementing Controlled Vocabulary for Clinical Reporting Systems ISSN: 2321-8169 Volume: 11 Issue: 11, 2023.

Downloads

Published

2024-06-08

Issue

Section

Articles

How to Cite

Leveraging Big Data Analytics for Enhanced Decision-Making in Business Intelligence. (2024). International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-17. https://ijsdai.com/index.php/IJSDAI/article/view/53