Analytics Maturity Models: An Overview

Karol Król , Dariusz Zdonek

Abstract

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.
Author Karol Król (FoEEaLS / DoSPaLA)
Karol Król,,
- Department of Spatial Planning and Landscape Architecture
, Dariusz Zdonek
Dariusz Zdonek,,
-
Journal seriesInformation (Switzerland), [Information (Switzerland)], ISSN 2078-2489, (N/A 40 pkt)
Issue year2020
Vol11
No3
Pages1-19
Publication size in sheets0.9
Article number142
Keywords in Englishdata analytics; maturity models; maturity assessment; analytics continuum; analytics maturity path; advanced analytics
ASJC Classification1710 Information Systems
DOIDOI:10.3390/info11030142
URL https://www.mdpi.com/2078-2489/11/3/142/pdf
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa (CC-BY); after publication
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Analytics Maturity Models: An Overview of 03-03-2020
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Score (nominal)40
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.034
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FinansowanieFunded with a subsidy of the Ministry of Science and Higher Education for the Silesian University of Technology in Gliwice and the University of Agriculture in Kraków for 2020.
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