Big Data Analytics for Business Management: Driving Innovation and Competitive Advantage

Authors

  • Narayana Reddy Bommu Sridharlakshmi Master Data & Analytics Consultant, Data Solutions Inc., 28345 Beck Road, Wixom, MI 48393, USA
  • Raghunath Kashyap Karanam Senior EBS Specialist, Sportsmans Warehouse, West Jordan, Utah 84088, USA
  • Narasimha Rao Boinapalli Senior Data Engineer, Weisiger Group, 6605 W W.T. Harris Blvd, Charlotte, NC 28269, USA
  • Abhishekar Reddy Allam Data Engineer, City National Bank, Los Angeles, CA, USA
  • Marcus Rodriguez Researcher, Princeton Institute for Computational Science and Engineering (PICSciE), Princeton University, NJ, USA

DOI:

https://doi.org/10.18034/abr.v14i1.728

Keywords:

Big Data, Competitive Advantage, Data-Driven Decision Making, Predictive Analytics, Business Intelligence, Data Mining, Strategic Management

Abstract

The study aims to investigate how Big Data Analytics may revolutionize modern business management by fostering innovation and providing a competitive edge. The study looks at the adoption rates, strategic implementation, and effects of Big Data Analytics on organizational performance indicators like revenue growth, customer acquisition, retention, and market share. It thoroughly evaluates the literature and case studies and analyzes future trends. The results highlight how businesses use BI tools, data visualization strategies, and advanced analytics capabilities to boost operational effectiveness and spur revenue growth. These developments highlight the growing use and strategic significance of big data analytics. However, to guarantee the appropriate and fair implementation of Big Data Analytics in company management practices, issues like data privacy and security concerns call for solid data governance frameworks and governmental interventions. The report offers insightful information and policy recommendations for businesses looking to use data-driven tactics to confidently and nimbly negotiate the challenges of the modern digital economy.

Downloads

Download data is not yet available.

References

Addimulam, S. (2024). Digitalization and AI for Sustainable Development: Expectations from the Sustainable Action Conference 2024 (SAC 2.0). Digitalization & Sustainability Review, 4(1), 1-15. https://upright.pub/index.php/dsr/article/view/156

Addimulam, S., Mohammed, M. A., Karanam, R. K., Ying, D., Pydipalli, R., Patel, B., Shajahan, M. A., Dhameliya, N., & Natakam, V. M. (2020). Deep Learning-Enhanced Image Segmentation for Medical Diagnostics. Malaysian Journal of Medical and Biological Research, 7(2), 145-152. https://mjmbr.my/index.php/mjmbr/article/view/687

Addimulam, S., Rahman, K., Karanam, R. K., & Natakam, V. M. (2021). AI-Powered Diagnostics: Revolutionizing Medical Research and Patient Care. Technology & Management Review, 6, 36-49. https://upright.pub/index.php/tmr/article/view/155

Ahmmed, S., Narsina, D., Addimulam, S., & Boinapalli, N. R. (2021). AI-Powered Financial Engineering: Optimizing Risk Management and Investment Strategies. Asian Accounting and Auditing Advancement, 12(1), 37–45. https://4ajournal.com/article/view/96

Ahmmed. S., Sachani, D. K., Natakam, V. M., Karanam, R. K. (2021). Stock Market Fluctuations and Their Immediate Impact on GDP. Journal of Fareast International University, 4(1), 1-6. https://www.academia.edu/121248146

Akter, S., Wamba, S. F. (2016). Big Data Analytics in E-commerce: A Systematic Review and Agenda for Future Research. Electronic Markets, 26(2), 173-194. https://doi.org/10.1007/s12525-016-0219-0 DOI: https://doi.org/10.1007/s12525-016-0219-0

Anitha, P., Patil, M. M. (2018). A Review on Data Analytics for Supply Chain Management: A Case Study. International Journal of Information Engineering and Electronic Business, 14(5), 30. https://doi.org/10.5815/ijieeb.2018.05.05 DOI: https://doi.org/10.5815/ijieeb.2018.05.05

Asadullah, A., Rahman, K., Azad, M. M. (2021). Accurate and Predictable Cardiovascular Disease Detection by Machine Learning. Journal of Cardiovascular Disease Research, 12(3), 448-454.

Brinch, M. (2018). Understanding the Value of Big Data in Supply Chain Management and its Business Processes: Towards a Conceptual Framework. International Journal of Operations & Production Management, 38(7), 1589-1614. https://doi.org/10.1108/IJOPM-05-2017-0268 DOI: https://doi.org/10.1108/IJOPM-05-2017-0268

Deming, C., Kothapalli, K. R. V., Mohammed, R., Pasam, P., Natakam, V. M., & Karanam, R. K. (2023). Sustainable Digitization: How U.S. Tech Leaders are Shaping the Global Future. Digitalization & Sustainability Review, 3(1), 35-47. https://upright.pub/index.php/dsr/article/view/153

Deming, C., Pasam, P., Allam, A. R., Mohammed, R., Venkata, S. G. N., & Kothapalli, K. R. V. (2021). Real-Time Scheduling for Energy Optimization: Smart Grid Integration with Renewable Energy. Asia Pacific Journal of Energy and Environment, 8(2), 77-88. https://doi.org/10.18034/apjee.v8i2.762 DOI: https://doi.org/10.18034/apjee.v8i2.762

Dezi, L., Santoro, G., Gabteni, H., Pellicelli, A. C. (2018). The Role of Big Data in Shaping Ambidextrous Business Process Management: Case Studies from the Service Industry. Business Process Management Journal, 24(5), 1163-1175. https://doi.org/10.1108/BPMJ-07-2017-0215 DOI: https://doi.org/10.1108/BPMJ-07-2017-0215

Fadziso, T., Mohammed, R., Kothapalli, K. R. V., Mohammed, M. A., Karanam, R. K. (2022). Deep Learning Approaches for Signal and Image Processing: State-of-the-Art and Future Directions. Silicon Valley Tech Review, 1(1), 14-34.

Ge, M. (2018). The Study of “Big Data” to Support Internal Business Strategists. IOP Conference Series. Earth and Environmental Science, 108(4). https://doi.org/10.1088/1755-1315/108/4/042090 DOI: https://doi.org/10.1088/1755-1315/108/4/042090

Gummadi, J. C. S., Narsina, D., Karanam, R. K., Kamisetty, A., Talla, R. R., & Rodriguez, M. (2020). Corporate Governance in the Age of Artificial Intelligence: Balancing Innovation with Ethical Responsibility. Technology & Management Review, 5, 66-79. https://upright.pub/index.php/tmr/article/view/157

Hazen, B. T., Skipper, J. B., Boone, C. A., Hill, R. R. (2018). Back in Business: Operations Research in Support of Big Data Analytics for Operations and Supply Chain Management. Annals of Operations Research, 270(1-2), 201-211. https://doi.org/10.1007/s10479-016-2226-0 DOI: https://doi.org/10.1007/s10479-016-2226-0

Ittmann, H. W. (2015). The Impact of Big Data and Business Analytics on Supply Chain Management. Journal of Transport and Supply Chain Management; 9(1). https://doi.org/10.4102/jtscm.v9i1.165 DOI: https://doi.org/10.4102/jtscm.v9i1.165

Kache, F., Seuring, S. (2017). Challenges and Opportunities of Digital Information at the Intersection of Big Data Analytics and Supply Chain Management. International Journal of Operations & Production Management, 37(1), 10-36. https://doi.org/10.1108/IJOPM-02-2015-0078 DOI: https://doi.org/10.1108/IJOPM-02-2015-0078

Karanam, R. K., Natakam, V. M., Boinapalli, N. R., Sridharlakshmi, N. R. B., Allam, A. R., Gade, P. K., Venkata, S. G. N., Kommineni, H. P., & Manikyala, A. (2018). Neural Networks in Algorithmic Trading for Financial Markets. Asian Accounting and Auditing Advancement, 9(1), 115–126. https://4ajournal.com/article/view/95

Kasemsap, K. (2017). Big Data Management: Advanced Issues and Approaches. International Journal of Organizational and Collective Intelligence, 7(3), 44-55. https://doi.org/10.4018/IJOCI.2017070104 DOI: https://doi.org/10.4018/IJOCI.2017070104

Kothapalli, S., Manikyala, A., Kommineni, H. P., Venkata, S. G. N., Gade, P. K., Allam, A. R., Sridharlakshmi, N. R. B., Boinapalli, N. R., Onteddu, A. R., & Kundavaram, R. R. (2019). Code Refactoring Strategies for DevOps: Improving Software Maintainability and Scalability. ABC Research Alert, 7(3), 193–204. https://doi.org/10.18034/ra.v7i3.663 DOI: https://doi.org/10.18034/ra.v7i3.663

Mohammed, M. A., Allam, A. R., Sridharlakshmi, N. R. B., Boinapalli, N. R. (2023). Economic Modeling with Brain-Computer Interface Controlled Data Systems. American Digits: Journal of Computing and Digital Technologies, 1(1), 76-89.

Mohammed, M. A., Mohammed, R., Pasam, P., & Addimulam, S. (2018). Robot-Assisted Quality Control in the United States Rubber Industry: Challenges and Opportunities. ABC Journal of Advanced Research, 7(2), 151-162. https://doi.org/10.18034/abcjar.v7i2.755 DOI: https://doi.org/10.18034/abcjar.v7i2.755

Mohammed, R. & Pasam, P. (2020). Autonomous Drones for Advanced Surveillance and Security Applications in the USA. NEXG AI Review of America, 1(1), 32-53.

Mohammed, R. (2021). Code Refactoring Strategies for Enhancing Robotics Software Maintenance. International Journal of Reciprocal Symmetry and Theoretical Physics, 8, 41-50. https://upright.pub/index.php/ijrstp/article/view/152

Mohammed, R. (2022). Artificial Intelligence-Driven Robotics for Autonomous Vehicle Navigation and Safety. NEXG AI Review of America, 3(1), 21-47.

Mohammed, R. (2023). Integrating SQA into the Robotic Software Development Lifecycle. ABC Journal of Advanced Research, 12(1), 31-44. https://doi.org/10.18034/abcjar.v12i1.763 DOI: https://doi.org/10.18034/abcjar.v12i1.763

Natakam, V. M., Nizamuddin, M., Tejani, J. G., Yarlagadda, V. K., Sachani, D. K., & Karanam, R. K. (2022). Impact of Global Trade Dynamics on the United States Rubber Industry. American Journal of Trade and Policy, 9(3), 131–140. https://doi.org/10.18034/ajtp.v9i3.716 DOI: https://doi.org/10.18034/ajtp.v9i3.716

Nizamuddin, M., Natakam, V. M., Sachani, D. K., Vennapusa, S. C. R., Addimulam, S., & Mullangi, K. (2019). The Paradox of Retail Automation: How Self-Checkout Convenience Contrasts with Loyalty to Human Cashiers. Asian Journal of Humanity, Art and Literature, 6(2), 219-232. https://doi.org/10.18034/ajhal.v6i2.751 DOI: https://doi.org/10.18034/ajhal.v6i2.751

Nizamuddin, M., Natakam, V. N., Kothapalli, K. R. V., Raghunath Kashyap Karanam, R. K., Addimulam, S. (2020). AI in Marketing Analytics: Revolutionizing the Way Businesses Understand Consumers. NEXG AI Review of America, 1(1), 54-69.

Pappas, I. O., Mikalef, P., Giannakos, M. N., Krogstie, J., Lekakos, G. (2018). Big Data and Business Analytics Ecosystems: Paving the way Towards Digital Transformation and Sustainable Societies. Information Systems and eBusiness Management, 16(3), 479-491. https://doi.org/10.1007/s10257-018-0377-z DOI: https://doi.org/10.1007/s10257-018-0377-z

Pasam, P., Kothapalli, K. R. V., Mohammed, R., Ying, D. (2023). Integrating Data Remediation Strategies in Robotic Data Processing. American Digits: Journal of Computing and Digital Technologies, 1(1), 90-104.

Phillips-Wren, G., Iyer, L. S., Kulkarni, U., Ariyachandra, T. (2015). Business Analytics in the Context of Big Data: A Roadmap for Research. Communications of the Association for Information Systems, 37(23). https://doi.org/10.17705/1CAIS.03723 DOI: https://doi.org/10.17705/1CAIS.03723

Rahman, K. (2017). Digital Platforms in Learning and Assessment: The Coming of Age of Artificial Intelligence in Medical Checkup. International Journal of Reciprocal Symmetry and Theoretical Physics, 4, 1-5. https://upright.pub/index.php/ijrstp/article/view/3

Rahman, K. (2021). Biomarkers and Bioactivity in Drug Discovery using a Joint Modelling Approach. Malaysian Journal of Medical and Biological Research, 8(2), 63-68. https://doi.org/10.18034/mjmbr.v8i2.585 DOI: https://doi.org/10.18034/mjmbr.v8i2.585

Rahman, K., Pasam, P., Addimulam, S., & Natakam, V. M. (2022). Leveraging AI for Chronic Disease Management: A New Horizon in Medical Research. Malaysian Journal of Medical and Biological Research, 9(2), 81-90. https://mjmbr.my/index.php/mjmbr/article/view/691

Rodriguez, M., Mohammed, M. A., Mohammed, R., Pasam, P., Karanam, R. K., Vennapusa, S. C. R., & Boinapalli, N. R. (2019). Oracle EBS and Digital Transformation: Aligning Technology with Business Goals. Technology & Management Review, 4, 49-63. https://upright.pub/index.php/tmr/article/view/151

Talla, R. R., Addimulam, S., Karanam, R. K., Natakam, V. M., Narsina, D., Gummadi, J. C. S., Kamisetty, A. (2023). From Silicon Valley to the World: U.S. AI Innovations in Global Sustainability. Silicon Valley Tech Review, 2(1), 27-40.

Thompson, C. R., Sridharlakshmi, N. R. B., Mohammed, R., Boinapalli, N. R., Allam, A. R. (2022). Vehicle-to-Everything (V2X) Communication: Enabling Technologies and Applications in Automotive Electronics. Asian Journal of Applied Science and Engineering, 11(1), 85-98.

Thompson, C. R., Talla, R. R., Gummadi, J. C. S., Kamisetty, A (2019). Reinforcement Learning Techniques for Autonomous Robotics. Asian Journal of Applied Science and Engineering, 8(1), 85-96. https://ajase.net/article/view/94 DOI: https://doi.org/10.18034/ajase.v8i1.94

Vennapusa, S. C. R., Pydipalli, R., Anumandla, S. K. R., Pasam, P. (2022). Innovative Chemistry in Rubber Recycling: Transforming Waste into High-Value Products. Digitalization & Sustainability Review, 2(1), 30-42.

Watson, H. J. (2014). Tutorial: Big Data Analytics: Concepts, Technologies, and Applications. Communications of the Association for Information Systems, 34, 65. https://doi.org/10.17705/1CAIS.03462 DOI: https://doi.org/10.17705/1CAIS.03465

Ying, D., & Addimulam, S. (2022). Innovative Additives for Rubber: Improving Performance and Reducing Carbon Footprint. Asia Pacific Journal of Energy and Environment, 9(2), 81-88. https://doi.org/10.18034/apjee.v9i2.753 DOI: https://doi.org/10.18034/apjee.v9i2.753

Ying, D., Kothapalli, K. R. V., Mohammed, M. A., Mohammed, R., & Pasam, P. (2018). Building Secure and Scalable Applications on Azure Cloud: Design Principles and Architectures. Technology & Management Review, 3, 63-76. https://upright.pub/index.php/tmr/article/view/149

Ying, D., Pasam, P., Addimulam, S., & Natakam, V. M. (2022). The Role of Polymer Blends in Enhancing the Properties of Recycled Rubber. ABC Journal of Advanced Research, 11(2), 115-126. https://doi.org/10.18034/abcjar.v11i2.757 DOI: https://doi.org/10.18034/abcjar.v11i2.757

Downloads

Published

2024-04-30

How to Cite

Sridharlakshmi, N. R. B., Karanam, R. K., Boinapalli, N. R., Allam, A. R., & Rodriguez, M. (2024). Big Data Analytics for Business Management: Driving Innovation and Competitive Advantage. Asian Business Review, 14(1), 71-84. https://doi.org/10.18034/abr.v14i1.728

Similar Articles

91-100 of 226

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)