Automated Insights Platform for Business Intelligence
Year: 2024
Type: article
Abstract: In today's data-driven landscape, the overwhelming influx of information poses a formidable challenge for businesses seeking actionable insights. This paper introduces an innovative solution, an Automated Insights Platform for Business Intelligence, designed to alleviate this burden. Leveraging sophisticated natural language processing (NLP) techniques such as sentiment analysis, topic modeling, and time series analysis, this platform autonomously sifts through data, generating valuable insights sans human intervention. By harnessing libraries like NLTK, Pandas, and Matplotlib, alongside tools like WordNet and Vader lexicon, our platform ensures efficient and transparent analysis of textual and numerical data. Our endeavor aims to foster efficiency, transparency, and accessibility in decision-making processes by delivering timely and precise insights to stakeholders. Through a comprehensive literature survey, we position our work amidst the evolving landscape of business intelligence (BI) and artificial intelligence (AI) integration, highlighting the significance of our proposed platform in addressing contemporary challenges and driving organizational innovation.
Authors: Harsh Mahajan, Rutvan Sohani, Keshav Pandey, Dr Tapabrata Roy
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W6911903118
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