Natural Language Processing in SAP: Enhancing User Interactions and Data Analysis through NLP
Year: 2024
Type: article
Abstract: . NLP has now emerged as a disruptive technology in enterprise systems. SAP, being a world leader in ERP solutions, has now integrated NLP into its system to improve user interaction and data analysis. This paper critically analyzes the adoption and applications of NLP in the SAP ecosystem, with a special emphasis on tools such as SAP Conversational AI, SAP HANA Natural Language Querying, and other AI-driven innovative features hosted within the SAP S/4HANA platform. NLP will also allow non-technical users to access complex data and conduct analytical tasks with ease, as more intuitive and user-friendly interfaces become possible. Review of the relevant scholarly literature and real-world case studies from various industries in relation to assessing the impact of NLP on operational efficiency, user satisfaction, and decision-making capabilities is conducted in the present study. It also covers challenges in implementing NLP in SAP data privacy concerns, language complexity, and cost integration. Strategies for alleviating these are also outlined. Finally, this paper discusses possible future advances, pointing to transformer-based models and deep learning as a likely continuing driving force in the future of SAP systems toward wider information access and business intelligence enhancement.
Authors: Chetan Sharma, Adarsh Vaid, Kavita Sharma
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911592883
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