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
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
