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1 Rostek K.

1 2005

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w słowach kluczowych: metodyka DAD (Dane-Analiza-Decyzja)

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Metodyka realizacji procesu pozyskiwania wiedzy z danych

Rostek K.

Zarządzanie Przedsiębiorstwem

2005

Vol. 8, nr 2

70-81

The process of discovering knowledge in databases may become a strong tool which would facilitate retaining competitive advantage on the insurance market. Its classification capabilities will enable insurance companies to acquaint themselves with their customers and their preferences, and to gain an in-depth understanding of the current policy portfolio. As a result of the predictive properties of the process an insurance company will be able to respond proactively to its customers' expectations, and thus ensure retaining the customers and counteracting customer loss to competitors. The predictive properties also enable some market behavior and risks on the part of the competition to be anticipated before they actually occur, and this increases the probability of being the first to counteract. However, in order to enable correct and effective completion of the knowledge discovery and data mining processes, the methodology of the process completion has to be adhered to and the terms and conditions for each of the stages of the process have to be met. Many computer information tools have been developed to support knowledge discovery in databases. However, even the best of programs will not solve all the problems connected with completion of the process and are not sufficient to ensure the success of the project as a whole. It is necessary to have an effective and efficient operating methodology. The methodology I am presenting has been developed based on the known methodology of computer tools for data mining purposes (specificity on the SAS and SPSS methodologies) and on the basis of my own professional experience. Methodology DAD (Data-Analysis-Decision) includes nine stages: formulating process assessments, extracting records and variables, extract processing, getting acquainted with the data, analysis of cross-correlations, analysis of multi-factor correlations, assessment of model results, transformation of results into knowledge, assessment of the usefulness of knowledge. The particular description of methodology DAD are presented in this article.