Prescriptive analytics: Literature review and research challenges 论文

2019International Journal of Information Management引用 471
Big Data and Business IntelligenceForecasting Techniques and ApplicationsBlockchain Technology Applications and Security

详细信息

发表期刊/会议
International Journal of Information Management
发表日期
2019-05-22
发表年份
2019

关键词

Big Data and Business IntelligenceForecasting Techniques and ApplicationsBlockchain Technology Applications and Security

摘要

Business analytics aims to enable organizations to make quicker, better, and more intelligent decisions with the aim to create business value. To date, the major focus in the academic and industrial realms is on descriptive and predictive analytics. Nevertheless, prescriptive analytics, which seeks to find the best course of action for the future, has been increasingly gathering the research interest. Prescriptive analytics is often considered as the next step towards increasing data analytics maturity and leading to optimized decision making ahead of time for business performance improvement. This paper investigates the existing literature pertaining to prescriptive analytics and prominent methods for its implementation, provides clarity on the research field of prescriptive analytics, synthesizes the literature review in order to identify the existing research challenges, and outlines directions for future research.

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