Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50395

Analytics in the Pursuit of Knowledge: Adapting the Knowledge Pyramid

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Title:Analytics in the Pursuit of Knowledge: Adapting the Knowledge Pyramid
Authors:Freeze, Ronald
Keywords:Analytics in Support of Continuous Knowledge Creation
Analytics, Big Data, Decision Making, Knowledge Pyramid, Knowledge Management
Date Issued:03 Jan 2018
Abstract:Advances in storage leading to the Internet of Things (IOT) and Big Data has exponentially increased the Data aspect of the traditional Knowledge Pyramid - Data-Information-Knowledge-Wisdom (DIKW). This paper presents an adaptation of the Knowledge Pyramid as an Analytics Pyramid in which Time is posited to represent Wisdom as the pinnacle achievement when pursuing knowledge. Analogies of the DIKW are presented from the Analytics Pyramid as Description-Aggregation-Modeling-Time. Implementing the premise of the Analytics Pyramid focuses on an interative/repetitive movement of both individuals and organizations through all Description-Aggregation-Modeling-Time stages in order to build and obtain the Wisdom pursued in the traditional Knowledge Pyramid. This model reinforces organizational learning and the importance of adaptability when pursuing knowledge. In addition, the wisdom gained from analytics is only recognized when monitored business processes are longitudinal in nature. Organizational analytics must rely on the recognition of a changing environment (Time) in order to adapt.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/50395
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.506
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Analytics in Support of Continuous Knowledge Creation


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