(I-BusinessNews.Com, July 16, 2021 ) Both descriptive and predictive analytics are related to prescriptive analytics. Prescriptive analytics strives to discover the optimal solution or outcome among multiple options, given the available parameters, whereas descriptive analytics aims to provide insight into what has happened and predictive analytics helps model and anticipate what might happen. Prescriptive analytics, on the other hand, is not immune to the same flaws that can derail descriptive and predictive analytics, such as data restrictions and unaccounted-for external variables. Prescriptive analytics’ performance is also determined by how well the decision model represents the impact of the decisions under consideration.
Any technique to data mining that focuses on prediction is referred to as predictive analytics (rather than description, classification or clustering). Prescriptive analytics is a type of advanced analytics that looks at data or content and uses techniques like graph analysis, simulation, complicated event processing, neural networks, recommendation engines, heuristics, and machine learning to do so.
The Prescriptive Analytics market report provides geographic analysis covering regions, such as North America, Europe, Asia Pacific, and Rest of the World. The Prescriptive Analytics market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.
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This report offers the major market playerÃ‚Â’s profiles, such as Fair, Isaac and Company (FICO), IBM Corporation, Infor, Oracle Corporation, River Logic, Inc., Salesforce.com Inc, SAP SE, SAS Institute Inc., Teradata Corporation, and Tibco Software Inc.
Global Prescriptive Analytics Market size Introduction
Market Research Process
Research Data Analysis
Market Size Estimation
Market Drivers and Restraints
By Data Type
By Business Functions
Human resources (HR)
Rest of the World
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