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Analytics Maturity Models: An Overview

1
Department of Land Management and Landscape Architecture, Faculty of Environmental Engineering and Land Surveying; University of Agriculture in Kraków; Balicka 253c, 30-149 Kraków, Poland
2
Institute of Economics and Informatics, Faculty of Organization and Management, Silesian University of Technology in Gliwice; Akademicka 2A, 44-100 Gliwice, Poland
*
Author to whom correspondence should be addressed.
Information 2020, 11(3), 142; https://doi.org/10.3390/info11030142
Received: 17 December 2019 / Revised: 26 February 2020 / Accepted: 28 February 2020 / Published: 2 March 2020
(This article belongs to the Section Review)
This paper aims to review, characterize and comparatively analyze selected organizations’ analytics maturity models. Eleven various organizations’ analytics maturity models (AMMs) were characterized. The models’ characteristics were developed based on an academic literature review as well as reports and publications shared by analytics sector operators. Most of the analyzed models comprised five analytics maturity levels. Comprehensive descriptions of an organization’s analytics maturity levels were available for all models. However, no detailed description of the assessment process or criteria for placing an organization at a specific analytics development level were available in all cases. Selected analytics maturity models were described in such a detailed manner that their application in an independent assessment of an organization’s analytics maturity was possible. In the future, an increase is expected in both the number and availability of new analytics maturity models, in particular those personalized and dedicated to a specific sector or business, and the number of entities involved in an assessment of an organization’s analytics maturity and the implementation of data analytics in organizations. The article presents and summarizes selected features of eleven various organizations’ analytics maturity models. This is the firstever such extensive review of those models. View Full-Text
Keywords: data analytics; maturity models; maturity assessment; analytics continuum; analytics maturity path; advanced analytics data analytics; maturity models; maturity assessment; analytics continuum; analytics maturity path; advanced analytics
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Król, K.; Zdonek, D. Analytics Maturity Models: An Overview. Information 2020, 11, 142.

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