• Satyam Kumar Aditya

The goal of business analytics is to help organizations to make better, faster, and more informed choices in order to generate business value. Too far, descriptive and inferential analysis have been the primary emphasis in both academic and industry settings. Nonetheless, prescriptive analytic research, which aims to determine the optimum way to proceed for the foreseeable, is gaining popularity. Prescriptive analytics is often seen as the next stage in advancing data science maturity and enabling decision making beforehand so for improved company performance. The purpose of this paper is to identify the most pressing market issues, such as the failure rate of Marginal Quotation while dealing with businesses. Many service-based firms find it difficult to develop a viable pricing plan. You can't precisely measure all of the expenditures that go into delivering a service, unlike product pricing. Expenses associated with providing goods are more arbitrary than those associated with producing a product. The price you charge customers does not necessarily correspond to the amount you pay for services. You must sell the things for a higher price than you spent in order to make a profit. You decide how much to charge for a product based on its cost. This article examines the existing knowledge on advanced analytics and popular techniques for its application, clarifies the study topic of cognitive computing, instantiates the review of literature to highlight existing research problems, and outlines potential research paths.

Analysis, Information Gathering, Prescriptive Analysis, Historical Data.

"Margin Quotation Prescriptive Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.327-333, January-2019, Available :http://www.jetir.org/papers/JETIRFL06039.pdf

"Margin Quotation Prescriptive Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp327-333, January-2019, Available at : http://www.jetir.org/papers/JETIRFL06039.pdf