Optimizing Enterprise Data Governance through AI-Driven Information Lifecycle Management in SAP Ecosystems

Ravi Patneedi

Abstract: Modern organizations are facing rapid data growth, tougher compliance laws, and rising storage costs. To handle these challenges, SAP Information Lifecycle Management (ILM) provides a structured way to manage data throughout its lifecycle from creation to destruction ensuring compliance and reducing risk. However, the integration of Artificial Intelligence (AI) and hybrid cloud technology is taking ILM to a new level. This paper explores how AI, automation, and hybrid cloud infrastructure enhance SAP ILM by improving compliance, scalability, and sustainability. It also highlights how organizations can use these technologies to manage data more efficiently while meeting global regulations like GDPR and HIPAA.

Keywords: SAP ILM, Data Governance, Artificial Intelligence, Hybrid Cloud, Sustainability, Data Compliance, S/4HANA, Data Retention, Predictive Archiving, System Decommissioning

How to Cite?: Ravi Patneedi, "Optimizing Enterprise Data Governance through AI-Driven Information Lifecycle Management in SAP Ecosystems", Volume 13 Issue 7, July 2024, International Journal of Science and Research (IJSR), Pages: 1635-1642, https://www.ijsr.net/getabstract.php?paperid=SR24703091025, DOI: https://dx.doi.org/10.21275/SR24703091025