Abstract
Nowadays, organisations aim to automate their business processes to improve operational 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.
Highlights
The goal of a commercial organisation is to perform business activities in alignment with the vision and mission statement, which should clearly define what the organisation intends to become and achieve at some point in the future, stated in competitive terms
Data mining is the process of data analysis that results in discovery of implicit, but potentially useful information as well as previously unknown patterns and relationships, which are hidden in data (Witten, Frank 2005)
We propose a methodology for the implementation of data mining into business processes, which is based on the following contributions: 1) approaches to BI implementations (e.g. Moss, Atre 2003; Williams, S., Williams, N. 2007; Shearer 2000); 2) a methodological framework to business process renovation and IS development (Kovačič, Bosilj-Vukšič 2005; Shearer 2000); 3) CRISP-DM framework, and 4) our experience with the implementation of data mining in analytical business process
Summary
The goal of a commercial organisation is to perform business activities in alignment with the vision and mission statement, which should clearly define what the organisation intends to become and achieve at some point in the future, stated in competitive terms. A business activity may encompass many different objectives, such as increasing the company’s market share, gaining the competitive edge with offered products and services, providing excellent customer service, or promoting profitable and sustainable actions that meet customer needs. These activities involve cooperation of several business units that make the underlying processes highly connected, inter-dependent and extensive. Traditional manual data analysis has become insufficient, which makes methods for efficient computer-based analysis indispensable. This need gave rise to a new interdisciplinary field of data mining. Statistical methods, pattern recognition and machine learning tools are used to support data analysis and discovery of principles that lie within data
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
