Constituent Elements for Prescriptive Analytics Systems
Stefani K, Zschech P (2018)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2018
Publisher: Association for Information Systems
Conference Proceedings Title: Proceedings of the 26th European Conference on Information Systems
Event location: Portsmouth
URI: https://aisel.aisnet.org/ecis2018_rp/39/
Abstract
Prescriptive analytics has emerged as a technological driver in data-intensive enterprise environments, as it tries to transform valuable insights into actionable recommendations and act upon them in order to meet business objectives. The basic idea is to go beyond the findings of descriptive data analysis and predictive modeling to answer the questions “What should be done?” and “Why should it be done?”. However, there is often an inconsistent understanding about constituent elements of prescriptive analytics, which may hinder the development of adequate information systems. For this reason, the paper deals with a conceptualization by conducting a systematic literature review. The research goal is to extract fundamental aspects and facets from different perspectives and consolidate them into a coherent view towards a common understanding of a prescriptive analytics system.
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Germany (DE)How to cite
APA:
Stefani, K., & Zschech, P. (2018). Constituent Elements for Prescriptive Analytics Systems. In Proceedings of the 26th European Conference on Information Systems. Portsmouth: Association for Information Systems.
MLA:
Stefani, Karolin, and Patrick Zschech. "Constituent Elements for Prescriptive Analytics Systems." Proceedings of the 26th European Conference on Information Systems (ECIS), Portsmouth Association for Information Systems, 2018.
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