Leveraging Artificial Intelligence within Power BI to Improve Business Intelligence Reporting

Venkata Nagendra Kumar Kundavaram

doi:10.46243/jst.2025.v10.i08.pp08-15

Authors

Venkata Nagendra Kumar Kundavaram

DOI:

https://doi.org/10.46243/jst.2025.v10.i08.pp08-15

Keywords:

Artificial Intelligence, Power BI, Business Intelligence, Data Analytics, AI Integration, Thematic Analysis, User Adoption, Reporting Tools, Digital Transformation, Organisational Barriers

Abstract

This study investigates Artificial Intelligence (AI) implementation on Power BI in order to improve business intelligence reporting. Using secondary qualitative analysis, two key themes are the transformative impact of AI features on data analytics and the organisational or user-centric barriers to adoption. The findings of the research reveal that AI enhances reporting accuracy and efficiency, but challenges like digital literacy and resistance to change are still present. The study concludes that strategic alignment and user empowerment are essential for effective AI adoption.

References

Hafeez, J. (2023). Effectiveness of Power BI in Transforming Business Intelligence Processes

Talakola, S. (2022). Leverage Microsoft Power BI reports to generate Insights and integrate with the application. International Journal of AI, BigData, Computational and Management Studies, 3(2), 31-40

Daruvuri, R., Ravikumar, R., Mannem, P., and Aeniga, S. R. (2024). Augmenting Business Intelligence How AI and Data Engineering Elevate Power BI Analytics. International Journal of Innovative Research in Computer and Communication Engineering, 12(12), 13012- 13022

Nayak, M., and Pattnaik, A. (2024). Unlocking Business Insights: Leveraging the Synergy of Business Intelligence and Artifical Intelligence for Effective Data Analytics. In AI in the Social and Business World: A Comprehensive Approach (pp. 152-168). Bentham Science Publishers

Selvarajan, G. P. (2023). Augmenting Business Intelligence with AI: A Comprehensive Approach to Data-Driven Strategy and Predictive Analytics. International Journal of All Research Education and Scientific Methods, 11(10), 2121-2132

Elbashir, M. Z., Sutton, S. G., Arnold, V., and Collier, P. A. (2022). Leveraging business intelligence systems to enhance management control and business process performance in the public sector. Meditari Accountancy Research, 30(4), 914-940

Roth-Dietrich, G., Gröschel, M., and Reiner, B. (2023). Comparison of machine learning functionalities of business intelligence and analytics tools. In Apply Data Science: Introduction, Applications and Projects (pp. 95-118). Wiesbaden: Springer Fachmedien Wiesbaden

Bussa, S. (2023). Enhancing BI tools for improved data visualization and insights. International Journal of Computer Science and Mobile Computing, 12(2), 70-92

Alonge, E. O., Eyo-Udo, N. L., Ubanadu, B. C., Daraojimba, A. I., Balogun, E. D., and Ogunsola, K. O. (2023). Leveraging business intelligence for competitive advantage in the energy market: A conceptual framework. Energy Market Dynamics Journal, 8(2), 22-36

Ajiga, D. I. (2021). Strategic framework for leveraging artificial intelligence to improve financial reporting accuracy and restore public trust. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), 882-892

Alghamdi, N. A., and Al-Baity, H. H. (2022). Augmented analytics driven by AI: A digital transformation beyond business intelligence. Sensors, 22(20), 8071

Bratu, M. (2023). The intersection of artificial intelligence and business intelligence: a systematic mapping study

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

Jiménez-Partearroyo, M., and Medina-López, A. (2024). Leveraging business intelligence systems for enhanced corporate competitiveness: Strategy and evolution. Systems, 12(3), 94

Jayaraman, K. D., and Jain, S. (2024). Leveraging Power BI for advanced business intelligence and reporting. International Journal for Research in Management and Pharmacy, 13, 11-21

Diepeveen, M. J. (2022). Artificial Intelligence with Power BI: Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI. Packt Publishing

Stirrup, J., and Weinandy, T. J. (2024). Artificial Intelligence with Microsoft Power BI. “ O’Reilly Media, Inc.”

Paramesha, M., Rane, N. L., and Rane, J. (2024). Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence. Partners Universal Multidisciplinary Research Journal, 1(2), 110-133

Eboigbe, E. O., Farayola, O. A., Olatoye, F. O., Nnabugwu, O. C., and Daraojimba, C. (2023). Business intelligence transformation through AI and data analytics. Engineering Science & Technology Journal, 4(5), 285-307

Sestino, A., and De Mauro, A. (2022). Leveraging artificial intelligence in business: Implications, applications and methods. Technology analysis & strategic management, 34(1), 16-29

Selvarajan, G. (2021). Leveraging AI-Enhanced Analytics for Industry-Specific Optimization: A Strategic Approach to Transforming Data-Driven Decision-Making. International Journal of Enhanced Research In Science Technology & Engineering, 10, 78-84

Manduva, V. C. M. (2022). Leveraging AI, ML, and DL for Innovative Business Strategies: A Comprehensive Exploration. International Journal of Modern Computing, 5(1), 62-77

Govindaraj, V. (2024). The Future of Mainframe IDMS: Leveraging Artificial Intelligence for Modernization and Efficiency. International Journal of Advanced Computer Science & Applications, 15(11)

Gadde, H. (2023). Leveraging AI for Scalable Query Processing in Big Data Environments. International Journal of Advanced Engineering Technologies and Innovations, 1(02), 435-465

Dwivedi, Y. K., Pandey, N., Currie, W., and Micu, A. (2024). Leveraging ChatGPT and other generative artificial intelligence (AI)-based applications in the hospitality and tourism industry: practices, challenges and research agenda. International Journal of Contemporary Hospitality Management, 36(1), 1-12

Liu, R., Zenke, C., Liu, C., Holmes, A., Thornton, P., and Malan, D. J. (2024, March). Teaching CS50 with AI: leveraging generative artificial intelligence in computer science education. In Proceedings of the 55th ACM technical symposium on computer science education V. 1 (pp. 750-756)

Shaikh, T. A., Rasool, T., and Lone, F. R. (2022). Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming. Computers and Electronics in Agriculture, 198, 107119

Eyo-Udo, N. (2024). Leveraging artificial intelligence for enhanced supply chain optimization. Open Access Research Journal of Multidisciplinary Studies, 7(2), 001-015

Farayola, O. A. (2024). Revolutionizing banking security: integrating artificial intelligence, blockchain, and business intelligence for enhanced cybersecurity. Finance & Accounting Research Journal, 6(4), 501-514

Ezeilo, O. J., Ikponmwoba, S. O., Chima, O. K., Ojonugwa, B. M., and Adesuyi, A. O. M. O. (2022). Systematic Review of Business Intelligence Tools and Strategic Dash boarding Techniques