| Abstract [eng] |
Latest activity in scientific field has been major in research of algorithms that are able to solve problems related to data analysis using tools of dataset clustering and data mining. Principe of data mining cover analysis of various business environment steps and suggests ways of prognosing, analyzing, classifying data. Data mining tools are applicable to customer relationship management systems offering key data analysis, increasing customer knowledge. Scope of thesis is the effective usability of data mining methods for customer relationship management system specifically used by business-to-business companies. Suggested concept leads to new perspective of transactional data analysis through following stages: client credibility valuation, product purchase amount prognosis and product delivery handling. Combined customer orientated data with supply chain inputs gave successful results in real data experiment. In conclusion, data mining tools improve data analysis in customer relationship management in B2B companies’ data analysis routine. |
