Leveraging Machine Learning and Azure AI to Enhance SAP Reporting and Analytics

Authors

  • Naresh Kumar Rapolu Independent Researcher, USA. Author

DOI:

https://doi.org/10.63282/3050-9416.ICAIDSCT26-143

Keywords:

ML, SAP, Azure AI, AI, Power BI

Abstract

This research paper has successfully depicted how both machine learning and Azure Artificial Intelligence can be properly leveraged by business entities while enhancing SAP reporting and analytics. By the process of integrating SAP data with the advanced AI capabilities of Microsoft Azure, can obtain predictive analytics along with automation and real-time business insights. This can lead to better operational efficiency and decision-making. Both ML and Azure AI services can include cognitive services, Power BI and machine learning which also can enhance predictive modelling, data processing and visualisation of SAP. Hence this research paper has highlighted and outlined different usage of cases along with some important integration methods to maximize the power of SAP reporting and analytics.

References

1. J. George, “Optimizing hybrid and multi-cloud architectures for real-time data streaming and analytics: Strategies for scalability and integration,” Ssrn.com, vol. 7, no. 1, pp. 174–185, Oct. 2022, Available: https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=4963389

2. M. Chiosa, F. Maschi, I. Müller, G. Alonso, and N. May, “Hardware acceleration of compression and encryption in SAP HANA,” Proceedings of the VLDB Endowment, vol. 15, no. 12, pp. 3277– 3291, Aug. 2022, doi: https://doi.org/10.14778/3554821.3554822

3. N. Kumar, “Anomaly Detection in ERP Systems Using AI and Machine Learning,” International Journal of Scientific Research in Science, Engineering and Technology, vol. 6, no. 3, pp. 522–530, Jun. 2019, doi: https://doi.org/10.32628/IJSRSET19115110

4. O. Harfoushi, D. Hasan, and R. Obiedat, “Sentiment Analysis Algorithms through Azure Machine Learning: Analysis and Comparison ,” Modern Applied Science, vol. 12, no. 7, Jun. 2018, Available: https://doi.org/10.5539/mas.v12n7p49

5. S. JAMPANI, A. MUSUNURI, P. MURTHY, O. GOEL, A. JAIN, and L. KUMAR, “Optimizing Cloud Migration for SAP-based Systems,” IRE Journals, vol. 5, no. 5, Nov. 2021, Available: https://www.academia.edu/download/120386942/1702989.pdf

6. S. R. Julakanti , N. S. K. Sattiraju, and R. Julakanti , “Transforming Data in SAP HANA: From Raw Data to Actionable Insights ,” NeuroQuantology, vol. 20, no. 2, pp. 854–861, Feb. 2022, doi: https://doi.org/10.48047/nq.2022.20.2.NQ22385

7. S. S. Parimi, “Optimizing Financial Reporting and Compliance in SAP with Machine Learning Techniques,” SSRN Electronic Journal, vol. 5, no. 8, Aug. 2018, doi: https://doi.org/10.2139/ssrn.4934911

Downloads

Published

2026-02-17

How to Cite

1.
Rapolu NK. Leveraging Machine Learning and Azure AI to Enhance SAP Reporting and Analytics. IJAIBDCMS [Internet]. 2026 Feb. 17 [cited 2026 Feb. 20];:342-4. Available from: https://ijaibdcms.org/index.php/ijaibdcms/article/view/438