Don’t Get the Cart before the Horse: There Are No Shortcuts to Prescriptive Analytics

dc.contributor.authorSt Louis Junior, Robert
dc.contributor.authorShao, Benjamin
dc.contributor.authorGlassman, Jeremy
dc.date.accessioned2019-01-02T23:48:34Z
dc.date.available2019-01-02T23:48:34Z
dc.date.issued2019-01-08
dc.description.abstractDavenport [5] argues that the most important component for putting big data into action within an organization is talent management, and this opinion is widely shared among academics. We interviewed the chief purchasing officers (CPOs) of 15 major corporations and found that they did not feel it was problematic to find the right people for data analytics teams, and did not feel it was difficult to get resources to support data analytics efforts. Instead, they were frustrated by data issues such as granularity, accuracy, and integration. They also were intimidated by what they perceived to be the requirements for prescriptive analytics, and generally had not progressed beyond descriptive analytics. This article summarizes the roadblocks that the CPOs encountered as they attempted to move from descriptive to predictive to prescriptive analytics, and presents a set of steps which must be followed if organizations are to move up the analytics hierarchy.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.130
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59545
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBig Data and Analytics: Pathways to Maturity
dc.subjectDecision Analytics, Mobile Services, and Service Science
dc.subjectdata analytics, prescriptive analytics, analytics hierarchy
dc.titleDon’t Get the Cart before the Horse: There Are No Shortcuts to Prescriptive Analytics
dc.typeConference Paper
dc.type.dcmiText

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