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- Title
ON APPROACH FOR THE IMPLEMENTATION OF DATA MINING TO BUSINESS PROCESS OPTIMISATION IN COMMERCIAL COMPANIES.
- Authors
PIVK, Aleksander; VASILECAS, Olegas; KALIBATIENE, Diana; RUPNIK, Rok
- Abstract
Nowadays, organisations aim to automate their business processes to improve opera-tional efficiency, reduce costs, improve the quality of customer service and reduce the probability of human error. Business process intelligence aims to apply data warehousing, data analysis and data mining techniques to process execution data, thus enabling the analysis, interpretation, and optimisation of business processes. Data mining approaches are especially effective in helping us to extract insights into customer behaviour, habits, potential needs and desires, credit associated risks, fraudulent transactions and etc. However, the integration of data mining into business processes still requires a lot of coordination and manual adjustment. This paper aims at reducing this effort by reusing successful data mining solutions. We propose an approach for implementation of data mining into a business process. The confirmation of the suggested approach is based on the results achieved in eight commercial companies, covering different industries, such as telecommunications, banking and retail.
- Subjects
DATA mining; BUSINESS process outsourcing; INDUSTRIAL efficiency; COLONIAL companies; ECONOMIC efficiency; COST control; DATA warehousing
- Publication
Technological & Economic Development of Economy, 2013, Vol 19, Issue 2, p237
- ISSN
2029-4913
- Publication type
Article
- DOI
10.3846/20294913.2013.796501