Prescriptive analytics: Literature review and research challenges

作者：

Highlights：

• This article focuses on prescriptive analytics, which is the less mature area of business analytics in comparison with descriptive and predictive analytics.

• Prescriptive analytics are positioned as the next step towards increasing data analytics maturity and leading to optimized decision making ahead of time.

• The existing literature pertaining to prescriptive analytics is reviewed and prominent methods for its implementation are examined.

• The article identifies research challenges and outlines directions for future research in the field of prescriptive analytics.

摘要

•This article focuses on prescriptive analytics, which is the less mature area of business analytics in comparison with descriptive and predictive analytics.•Prescriptive analytics are positioned as the next step towards increasing data analytics maturity and leading to optimized decision making ahead of time.•The existing literature pertaining to prescriptive analytics is reviewed and prominent methods for its implementation are examined.•The article identifies research challenges and outlines directions for future research in the field of prescriptive analytics.

论文关键词：Analytics,Prescriptive analytics,Business analytics,Big data,Literature review

论文评审过程：Received 1 October 2018, Revised 9 April 2019, Accepted 9 April 2019, Available online 22 May 2019, Version of Record 22 May 2019.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.04.003