Data Mining Process Maturity – Result of Empirical Research

Abstract

The main goal of the article is to present the results of the study relating to the assessment of data mining process maturity on the example of Polish organizations. Several partial objectives were added to the main goal. CT1: To diagnose the current state of knowledge regarding the data-mining process in the discipline of management sciences. Attempts at attaining this objective served to identify the knowledge 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 the results of quantitative and qualitative bibliometric analysis. The second section presents the parameters and the definition of the data mining process. Then, the theoretical model used for measuring the maturity of the data mining process is discussed. In the fourth section, the structure of the empirical research conducted and its partial results are outlined. It transpired that the vast majority of the surveyed organizations qualified at the first level of process maturity, defined as a state in which organizations are not aware of the need to identify activities aimed at data mining. Research objectives formulated in the article have been implemented using such research methods as quantitative and qualitative bibliometric analysis, opinion polls and statistical methods.