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International Journal of Science, Strategic Management and Technology

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A STUDY ON BIG DATA ANALYTICS IN FINANCIAL DECISION MAKING WITH REFERENCE TO SELECTED IT COMPANIES IN INDIA

AUTHORS:
SHAIK ZUBERALI
Mentor
T NIHARIKA REDDY
Affiliation
Dept of MBA in

Malla Reddy Engineering College and Management Sciences, Medchal, Hyderabad – 501 401.
DOI: 10.55041/ijsmt.v2i8.080
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract
Big Data Analytics has now become important technology for improving financial decision-making in Indian IT companies. It enables organizations to process large volumes of structured and unstructured data and generate insights for budgeting, forecasting, investment analysis, risk management, cost optimization, and strategic planning. This study examines the use of Big Data Analytics in selected IT companies and evaluates its influence on financial planning, investment decisions, organizational performance, and risk management. It also identifies implementation challenges, including data privacy, cybersecurity, high costs, integration difficulties, and skill gaps. The study uses primary data and presents practical recommendations for strengthening data-driven financial decision-making.

 
Keywords
Big Data Analytics Financial Decision-Making Indian IT Companies Financial Planning Risk Management
Article Information
PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 9
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Sep 02 2026
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ZUBERALI, S. (2026). A Study on Big Data Analytics in Financial Decision Making with Reference to Selected IT Companies in India. International Journal of Science, Strategic Management and Technology, 02(9), 1-9. https://doi.org/10.55041/ijsmt.v2i8.080

ZUBERALI, SHAIK. "A Study on Big Data Analytics in Financial Decision Making with Reference to Selected IT Companies in India." International Journal of Science, Strategic Management and Technology, vol. 02, no. 9, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijsmt.v2i8.080.

ZUBERALI, SHAIK. "A Study on Big Data Analytics in Financial Decision Making with Reference to Selected IT Companies in India." International Journal of Science, Strategic Management and Technology 02, no. 9 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijsmt.v2i8.080.

References

  1. Agarwal, A., & Mehta, [Initial unavailable]. (2022). Impact of cloud-based Big Data Analytics on financial decision-making.

  2. Joshi, [Initial unavailable]., & Kapoor, [Initial unavailable]. (2023). Challenges in implementing Big Data Analytics.

  3. Kumar, [Initial unavailable]. (2020). Role of Big Data Analytics in financial planning.

  4. Mishra, [Initial unavailable]., & Gupta, [Initial unavailable]. (2025). Future scope of Big Data Analytics in financial management.

  5. Nair, [Initial unavailable]., & Joseph, [Initial unavailable]. (2022). Big Data Analytics and artificial intelligence in financial management.

  6. Patel, [Initial unavailable]., & Reddy, [Initial unavailable]. (2020). Application of predictive analytics in investment decision-making.

  7. Prakash, [Initial unavailable]., & Iyer, [Initial unavailable]. (2024). Impact of Big Data Analytics on organizational financial performance.

  8. Rao, [Initial unavailable]., & Desai, [Initial unavailable]. (2023). Application of Big Data Analytics in Indian IT firms.

  9. Sharma, [Initial unavailable]., & Verma, [Initial unavailable]. (2019). Use of Big Data Analytics in commercial enterprises.

  10. Singh, [Initial unavailable]. (2021). Value of Big Data Analytics in risk management.

Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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