Authors : Dr.Yazdani Hasan; Dr.Deepak Kumar; Dr.Sumbul Afroz; Anam Shariq

Volume/Issue : Volume 8 - 2023, Issue 8 - August

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/ydh7byzr

DOI : https://doi.org/10.5281/zenodo.8278686

Abstract : The use of linear regression in artificial intelligence and business intelligence for strategic planning to preserve a competitive market edge and share is explored in this study. In several disciplines, including business intelligence, linear regression has emerged as a potent tool for modelling and forecasting complex connections between variables. Thanks to the development of big data, companies can now gather enormous volumes of data and analyse it to learn more about consumer behaviour, market trends, and other elements that affect their success. By modelling the correlations between these variables using linear regression, organisations may take well-informed decisions that enhance performance and provide them a competitive edge. Using linear regression in business intelligence and strategic planning is discussed theoretically and with examples from real-world applications. The results imply that linear regression is a crucial tool for companies looking to keep their competitive advantage and market share. The relevance of incorporating linear regression into business intelligence and strategic planning is emphasised in the paper's conclusion in order to improve decision-making and boost organisational performance.

Keywords : Artificial Intelligence, Machine Learning, Business Intelligence, Regression Model, Business Strategy ,Business Model