Improved Decision Making And Enhanced Recommendation Systems In Applications Made Possible Through Prescriptive Analytics

摘要

Prescriptive analytics is an advanced version of analytics that employs optimization tools in order to transform the outcomes of the analysis process into actions that would bring about improvement. Prescriptive analytics studies and processes the relationship between the various components of the data and gives a prediction about what could happen. Prescriptive analysis takes it one step ahead and in addition to forecasting the outcomes also provide recommendations on what should be done. Prescriptive analytics which in comparison with other forms of analytics is actionable would play a vital role in many fields including healthcare, self-driven vehicles, asset performance management, education, particularly the vast amount of e-learning content, business process optimization and many more. This paper discusses the role of prescriptive analytics in some of the prominent industries and how prescriptive analytics in hand with AI and Machine learning brings about improved systems that handle predicted outcomes in an improved manner.