Authors : Harsh Mahajan; Rutvan Sohani; Keshav Pandey; Dr Tapabrata Roy

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/5dhzb6xr

Scribd : https://tinyurl.com/etyzvy4n

DOI : https://doi.org/10.5281/zenodo.14280416

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.

Keywords : Internet of Things, Healthcare, Federated Learning, Secure Framework, Data Privacy.

References :

1. Mano Ashish Tripathi, Kilaru Madhavi, V.S. Prasad Kandi, Vinay Kumar Nassa, Banitamani Mallik, M. Kalyan Chakravarthi, "Machine learning models for evaluating the benefits of business intelligence systems," IEEE Transactions on Big Data. (2023)
2. Prakash Ukhalkar, Manasi Bhate, Suraj Hingane, Swati Hingane, "Augmented Analytics: Modern Business Intelligence and Data Analytics. (2010)
3. Marc Schmitt. Automated machine learning: AI-driven decision making in business analytics. (2023)
4. Marilex Rea Llave, "Business Intelligence and Analytics in Small and Medium-sized Enterprises: A Systematic Literature Review. (2017)
5. W. F. Cody, J. T. Kreulen, V. Krishna, W. S. Spangler, "The integration of business intelligence and knowledge management. (2020)
6. Suman Kumar Deb, Ruchi Jain, Varsha Deb. Artificial Intelligence Creating Automated Insights for Customer Relationship Management. (2018)