Data-Driven Decisions: Leveraging Text Analytics and ERP with AI for Business Intelligence

Abstract

In the contemporary landscape of business intelligence, organizations are increasingly reliant on data-driven decisions to gain competitive advantages. This paper explores the integration of text analytics and Enterprise Resource Planning (ERP) systems with Artificial Intelligence (AI) to enhance business intelligence capabilities. Text analytics enables the extraction of valuable insights from unstructured data sources such as emails, customer reviews, and social media posts, providing organizations with a comprehensive understanding of consumer sentiment, market trends, and emerging opportunities. When integrated with ERP systems, text analytics augments traditional structured data analysis, offering a holistic view of organizational processes and performance. AI techniques, including natural language processing and machine learning, empower businesses to automate data analysis, detect patterns, and predict future outcomes with unprecedented accuracy. By leveraging text analytics and AI within ERP systems, organizations can make informed decisions swiftly, mitigate risks, and capitalize on emerging opportunities in dynamic market environments. This paper discusses the challenges and opportunities associated with implementing text analytics and AI in ERP systems, emphasizing the transformative potential of these technologies for driving business intelligence in the digital age.