Articles Open Access
AI-Enabled Cloud Data Governance Using Metadata Management and Real-Time Analytics through SAP Datasphere
Department of Computer Science, Tai Solarin University of Education, Ogun State, Nigeria
Abstract
The increasing adoption of cloud-based data platforms has created significant challenges for enterprises seeking to maintain data quality, security, consistency, and regulatory compliance across distributed information environments. Artificial Intelligence (AI)-enabled data governance offers opportunities to address these challenges through automated metadata management, intelligent data classification, anomaly detection, and real-time analytical monitoring. This research examines an integrated approach to cloud data governance using SAP Datasphere as a centralized environment for data integration, semantic modeling, and enterprise-wide data accessibility. The proposed framework combines metadata management capabilities with AI-driven analytics to improve data discovery, lineage tracking, quality assessment, access control, and governance decision-making. Metadata describing data ownership, business definitions, transformations, sensitivity, and usage patterns provides the contextual foundation for intelligent governance processes. Real-time analytics further enables organizations to identify emerging data quality issues, detect unusual access patterns, and monitor compliance-related indicators. The research methodology adopts a quantitative, design-oriented approach involving framework development, experimental implementation, and comparative evaluation against conventional governance practices. Evaluation criteria include metadata completeness, data quality, anomaly detection accuracy, lineage transparency, compliance monitoring efficiency, and analytical response time. The study aims to establish how AI and metadata-driven governance can improve enterprise data reliability, operational transparency, and responsible data utilization. The proposed approach contributes to the development of scalable, adaptive, and trustworthy cloud data governance practices within modern data-driven organizations
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Publication Information
| Journal | International Research Journal of Innovative Engineering |
|---|---|
| Volume | 10 |
| Number | 5 |
| Pages | 19800-19810 |
| Published | 2026-09-15 |
| Issue | Vol. 10 No. 5 (2026): International Research Journal of Innovative Engineering (IRJIE) |
References
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32. Jinna, K. R., & Bandari, U. (2025). Agentic pipeline operations: LLM agents for CI/CD failure triage and remediation under human-in-the-loop guardrails. International Journal of Research and Applied Innovations, 8(3), 13134–13144.
33. Sunkara, R., & Garg, B. (2026). Agentic architectures and autonomous decision-making. Agentic Intelligence and the Future of Autonomous Digital Ecosystems, 1(1).
34. Gullapalli, S., Divi, V. R., Muppidi, N. K. R., Rachamalla, S., & Tatavarthi, S. (2026, July). GuardGRPC: Priority-Aware Resource Governance for OTLP/gRPC Telemetry Export. In 2026 5th International Conference on Electronics Representation and Algorithm (ICERA) (pp. 272-277). IEEE.
35. Muppidi, N. K. R. (2026, July). Secure Context Cache: Token-Efficient and Least-Privilege Shared Memory for Enterprise Developer Agents. In 2026 5th International Conference on Electronics Representation and Algorithm (ICERA) (pp. 679-684). IEEE.
36. Gadige, C. D. (2023). Scalable CRM automation for high-volume customer onboarding: An event-driven Salesforce architecture. International Journal of Emerging Trends in Engineering and Management Research, 8(6), 14762–14772.
37. Bandari, U., & Jinna, K. R. (2024). LLM-assisted anonymization of customer experience data: A comparative study of rule-based, NER, and generative approaches. International Journal of Research and Applied Innovations, 7(1), 10164–10174.
2. Polamarasetty, V. K. (2021). Modernizing SAP sales and distribution systems through ABAP-based enterprise solutions. International Journal of Research and Applied Innovations, 4(2), 4925-4930.
3. Sasikumar, B., Venkatasalam, K., & Rajendran, P. (2024). Induction motor fault detection and classification using rcnn and surf based machine learning algorithms and infrared thermography. Scientia Iranica.
4. Ahuja, D. (2026, May). A Unified DevOps Framework for Multi-Cloud Orchestration: Automating Cross-Platform Deployments Across Azure, Salesforce, and MuleSoft. In 2026 2nd International Conference on Artificial Intelligence Systems (AIS) (pp. 153-158). IEEE.
5. Aragani, V. M., Maroju, P. K., & Mudunuri, L. N. R. (2024, December). Implementing Non-functional Production Regression Testing with Kubernetes. In International Conference on Information and Communication Technology for Competitive Strategies (pp. 231-244). Singapore: Springer Nature Singapore.
6. Ramasamy, M. (2022). Architecting scalable intent-based networking platforms for enterprise automation. International Journal of Emerging Trends in Engineering and Management Research (IJETEMR), 7(3), 11812–11823.
7. Reddy, K. V. (2025). Automating UVM frameworks using artificial intelligence and machine learning for complex SoC verification. International Journal of Research and Applied Innovations, 8(6), 13283–13287.
8. Basavala, S. R. (2025). Continuous application security posture management through AI-driven risk correlation and vulnerability prioritization. International Journal of Research Publications in Engineering, Technology and Management, 8(3), 12175–12187.
9. Madabathula, L. (2026, May). A Resilient Multi-Petabyte Lakehouse Architecture for Regulated Enterprises: Design Patterns and Failure Recovery. In 2026 2nd International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI) (pp. 731-735). IEEE.
10. Srikanth, V., Kavitha, P. M., Kodamanchili, R., Thatipudi, J. G., Kalpana, R., & Upadhyay, N. (2026, February). An Advanced Internet of Things Enabled Security System Design for Residential Intrusion Detection. In 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL) (pp. 1-6). IEEE.
11. Kasarapu, B. C., Balerao, R., Kammari, P., & Chalicham, H. (2026, August). Design and Implementation of an AI-Driven Conversational Agent for Real-Time HR Support in Retail Environments. In 2026 10th International Conference on Inventive Systems and Control (ICISC) (pp. 1-8). IEEE.
12. Uddandarao, D. P., Mahajan, A., & Krishnamsetty, P. (2024). Double machine learning for downstream causal measurement: A hybrid econometric-ML framework for feature valuation. International Journal of Computational and Experimental Science and Engineering, 10(4), 4477–4485.
13. Kalabhavi, V. (2024). Retail promotion and barcode redemption analytics using AI for marketing budget optimization. International Journal of Future Innovative Science and Technology, 7(4), 13212–13222.
14. Balla, R. T., Padmanabham, S., Bhandari, R. S., Kumar, V., & Singh, G. (2026, February). AI-Driven Optimization of Enterprise Resource Planning Systems: An SEM-Based Analysis of Decision-Making Effectiveness. In 2026 5th International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 1-6). IEEE.
15. Gunasekaran, R. M. N. (2026). AI-Driven Data Governance: Ensuring Compliance in Big Data Ecosystems. International Journal of AI, BigData, Computational and Management Studies, 262-275.
16. Chinthamani, R. (2023). Engineering resilient microservices for real-time retail order and inventory synchronization. International Journal of Engineering & Extended Technologies Research, 5(6), 7774–7779.
17. Mysula, S. (2026). AI-enabled autonomous enterprise integration: Intelligent orchestration of event-driven business workflows. International Journal of Research Publications in Engineering, Technology and Management, 9(3), 1145–1150.
18. Karrothu, A. (2025). Engineering scalable cloud-native distributed systems for real-time security telemetry ingestion and threat detection. Journal of Computational Analysis and Applications, 34(12), 1175–1188.
19. Neela, S. (2024). Secure and zero-trust middleware architectures for real-time enterprise data exchange. International Journal of AI, BigData, Computational and Management Studies, 5(4), 220–227. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I4P124
20. Chandran, A. S. (2024). Engineering billion-query search systems: Lessons from large-scale metadata platforms. International Journal of Research and Applied Innovations, 7(2), 10510–10519.
21. Kari, M., & Chandrashekar, P. (2026, March). A Predictive Machine Learning Approach for Enhancing Software Testing Efficiency with Automated Defect Prediction. In 2026 World Conference on Computational Science and Technology (WcCST) (pp. 592-597). IEEE.
22. Kopparthi, G. S. (2025). AI-driven healthcare solutions: Transforming the future of medicine. International Journal of Applied Mathematics, 38(10s), 3308–3317.
23. Jayaraman, S., Rajendran, S., & P, S. P. (2019). Fuzzy c-means clustering and elliptic curve cryptography using privacy preserving in cloud. International Journal of Business Intelligence and Data Mining, 15(3), 273-287.
24. Sudhan, S. K. H. H., & Kumar, S. S. (2016). Gallant Use of Cloud by a Novel Framework of Encrypted Biometric Authentication and Multi Level Data Protection. Indian Journal of Science and Technology, 9, 44.
25. Raja, G. V. (2020). Metadata gets a makeover: The machine learning approach. International Journal of Computer Technology and Electronics Communication, 3(6), 2900-2903.
26. Vimal Raja, G. (2022). Leveraging machine learning for real-time short-term snowfall forecasting using multisource atmospheric and terrain data integration. International Journal of Multidisciplinary Research in Science, Engineering and Technology, 5(8), 1336-1339.
27. Gopinathan, V. R. (2022). Advanced Predictive Decision Intelligence Using Machine Learning for Strategic Enterprise Management Platforms. International Journal of Research and Applied Innovations, 5(6), 8162-8169.
28. Sugumar, R. (2021). Generative AI Pipelines for Safety Validation of Autonomous Driving Models. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 4(5), 5466-5469.
29. Bitragunta, S. L. V. (2025). Optimizing hybrid energy storage in EVs using AI enhanced fuzzy logic control systems. International Journal of Science, Research and Technology, 8(1), 13525-13533.
30. Pochincharla, S. (2025). Secure Explainable Machine Learning Architecture for Smart Enterprise Systems and Real Time Risk Governance. International Journal of Computer Technology and Electronics Communication, 8(5), 11554-11562.
31. Sazu, A. H., Khan, M. A. N., Sultana, S., Tasnim, M., Jakir, T., Alam, A., … Himeluzzaman, M. (2025). Artificial intelligence-based anomaly detection for environmental and financial risk management in banking. International Journal of Advances in Signal and Image Sciences, 2083–2095.
32. Jinna, K. R., & Bandari, U. (2025). Agentic pipeline operations: LLM agents for CI/CD failure triage and remediation under human-in-the-loop guardrails. International Journal of Research and Applied Innovations, 8(3), 13134–13144.
33. Sunkara, R., & Garg, B. (2026). Agentic architectures and autonomous decision-making. Agentic Intelligence and the Future of Autonomous Digital Ecosystems, 1(1).
34. Gullapalli, S., Divi, V. R., Muppidi, N. K. R., Rachamalla, S., & Tatavarthi, S. (2026, July). GuardGRPC: Priority-Aware Resource Governance for OTLP/gRPC Telemetry Export. In 2026 5th International Conference on Electronics Representation and Algorithm (ICERA) (pp. 272-277). IEEE.
35. Muppidi, N. K. R. (2026, July). Secure Context Cache: Token-Efficient and Least-Privilege Shared Memory for Enterprise Developer Agents. In 2026 5th International Conference on Electronics Representation and Algorithm (ICERA) (pp. 679-684). IEEE.
36. Gadige, C. D. (2023). Scalable CRM automation for high-volume customer onboarding: An event-driven Salesforce architecture. International Journal of Emerging Trends in Engineering and Management Research, 8(6), 14762–14772.
37. Bandari, U., & Jinna, K. R. (2024). LLM-assisted anonymization of customer experience data: A comparative study of rule-based, NER, and generative approaches. International Journal of Research and Applied Innovations, 7(1), 10164–10174.
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