Abstract
The goal of this research is to create a framework for firms to use prescriptive analytics and hence enhance their decision-making processes. Prescriptive analytics is the use of data analysis tools to make suggestions for actions to be performed to attain a specified objective. The suggested framework provides a step-by-step procedure that includes describing the business problem, gathering relevant data, employing descriptive and predictive analytics techniques, and finally building and deploying prescriptive analytics models. The essay also underlines the significance of regularly analyzing and modifying these models to ensure their continued efficacy. Businesses that adhere to this paradigm may make data-driven decisions that optimize their chances of success.
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Alkhaldi, F. (2023). Maximizing Business Potential: A Framework for Implementing Prescriptive Analytics. In: Yaseen, S.G. (eds) Cutting-Edge Business Technologies in the Big Data Era. SICB 2023. Studies in Big Data, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-031-42455-7_23
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DOI: https://doi.org/10.1007/978-3-031-42455-7_23
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