Six Sigma is a rigorous, focused, and highly effective implementation of proven quality principles and techniques. A company"s performance is measured by the sigma level of their business processes. Traditionally...
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Six Sigma is a rigorous, focused, and highly effective implementation of proven quality principles and techniques. A company"s performance is measured by the sigma level of their business processes. Traditionally companies accepted three or four sigma performance levels as the norm. The Six Sigma standard of 3.4 problems-per-million opportunities is a response to the increasing expectations of customers. DMAIC is an acronym for five phases of Six Sigma methodology: Define, Measure, Analyze, Improve, Control. This paper describes possibility of using Bayesian Network for retraining data mining model. Concrete application of this proposal is in the field of the churn. Churn is a derivation from change and turn. It can be defined as a discontinuation of a contract. Data mining methods and algorithms can predict behavior of customers. We can get better results using Six Sigma methodology. The goal of this paper is proposal of implementation churn (with Bayesian network) to the phases of Six Sigma methodology.
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