NLP Systems for Intelligent Report Generation in Business
Mohammad Ali Al Khaldy, Ameen Shaheen · 2025
In this research, we explore the application of Natural Language Processing (NLP) in the automated generation of business intelligence reports, addressing the increasing demand for efficient data analysis and presentation. We argue that NLP technologies significantly enhance report generation by automating data interpretation and creating insightful narratives, which fosters informed decision-making and operational efficiency. The findings are divided into three main sections: the definition and evolution of NLP, the technological perspectives on its application in business intelligence, and a series of case studies from various industries demonstrating the transformative impact of NLP-driven solutions. By highlighting the connection between NLP advancements and enhanced reporting processes, we illustrate how businesses can leverage these technologies to improve accuracy and responsiveness in their operations. Ultimately, we emphasize the necessity for further research and the adoption of NLP to maintain competitiveness in a data-centric environment.