Analytics Maturity Models: An Overview
Karol Król , Dariusz Zdonek
AbstractThis 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.
|Journal series||Information (Switzerland), [Information (Switzerland)], ISSN 2078-2489, (N/A 40 pkt)|
|Publication size in sheets||0.9|
|Keywords in English||data analytics; maturity models; maturity assessment; analytics continuum; analytics maturity path; advanced analytics|
|License||Journal (articles only); author's original; ; after publication|
|Publication indicators||= 0; : 2018 = 1.034|
|Finansowanie||Funded 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.|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.