Value Creation through AI-Driven Financial Analytics Evidence from Secondary Data and Industry Expert Insights

  • Unique Paper ID: 198512
  • Volume: 12
  • Issue: 11
  • PageNo: 9350-9353
  • Abstract:
  • The adoption of artificial intelligence (AI) in financial analytics has transformed how organizations create value and make decisions. This study examines the role of AI-driven financial analytics in value creation using secondary data and industry insights. Data from financial reports, Kaggle datasets, and industry publications were analysed using descriptive statistics, correlation, and comparative methods. The findings show that AI improves financial performance, risk management, and customer value. However, its impact is moderate and depends on factors such as data quality, implementation cost, and organizational readiness. The study concludes that AI contributes to value creation when integrated with strong data systems and effective management strategies.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{198512,
        author = {Moumita Das and Dr. Syed Shahid Raza},
        title = {Value Creation through AI-Driven Financial Analytics Evidence from Secondary Data and Industry Expert Insights},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {9350-9353},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198512},
        abstract = {The adoption of artificial intelligence (AI) in financial analytics has transformed how organizations create value and make decisions. This study examines the role of AI-driven financial analytics in value creation using secondary data and industry insights. Data from financial reports, Kaggle datasets, and industry publications were analysed using descriptive statistics, correlation, and comparative methods.
The findings show that AI improves financial performance, risk management, and customer value. However, its impact is moderate and depends on factors such as data quality, implementation cost, and organizational readiness. The study concludes that AI contributes to value creation when integrated with strong data systems and effective management strategies.},
        keywords = {AI-Driven Financial Analytics, Value Creation, Financial Performance, Data Analytics, Artificial Intelligence, Decision Making.},
        month = {April},
        }

Cite This Article

Das, M., & Raza, D. S. S. (2026). Value Creation through AI-Driven Financial Analytics Evidence from Secondary Data and Industry Expert Insights. International Journal of Innovative Research in Technology (IJIRT), 12(11), 9350–9353.

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