Data Mining Process Maturity – Result of Empirical Research
Data Mining Process Maturity – Result of Empirical Research

data mining; data mining process; process management; process maturity

Summary/Abstract: The main goal of the article is to present the results of the study relating to the assessment of datamining process maturity on the example of Polish organizations. Several partial objectives were addedto the main goal. CT1: To diagnose the current state of knowledge regarding the data-mining processin the discipline of management sciences. Attempts at attaining this objective served to identify theknowledge gap. CT2: To adopt an appropriate theoretical perspective in the form of a theoretical model,enabling the implementation of future research challenges. The first section of the article describes theresults of quantitative and qualitative bibliometric analysis. The second section presents the parametersand the definition of the data mining process. Then, the theoretical model used for measuring thematurity of the data mining process is discussed. In the fourth section, the structure of the empiricalresearch conducted and its partial results are outlined. It transpired that the vast majority of the surveyedorganizations qualified at the first level of process maturity, defined as a state in which organizations arenot aware of the need to identify activities aimed at data mining. Research objectives formulated in thearticle have been implemented using such research methods as quantitative and qualitative bibliometricanalysis, opinion polls and statistical methods.

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