Historical Data Analysis through Data Mining From an Outsourcing Perspective

Abstract

The process of historical data analysis through data mining has proven valuable for the industrial environment. There are many models available that describe the in-house process of data mining. However, many companies either do not have in-house skills or do not wish to invest in performing in-house data mining. This paper investigates the applicability of two well-established data mining process models in an outsourcing context. The authors observe that both models cannot properly accommodate several key aspects in this context; therefore, this paper proposes the Three-phases method, which consists of data retrieval, data mining and results implementation within an organization. Each element is presented as a visual method fragment, and the model is validated through expert interviews and an extensive case study at a large Dutch staffing company. Both validation techniques substantiate the authors’ claim that the Three-phases model accurately describes the data mining process from an outsourcing perspective.

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