Data Mining Process Integration in Sales Process

Riga Technical University 58th International Scientific Conference “Scientific Conference on Economics and Entrepreneurship” (SCEE’2017): Proceedings 2017
Atis Verdenhofs, Tatjana Tambovceva

Information Technology (IT) development allows organizations of different type create and store enormous amounts of data. This process has stimulated cooperation of several disciplines –IT, marketing and statistics to fully utilize stored data in the organization. Organizations that can make use of so called “Big Data” tend to create competitive advantage. The aim of the research is to develop segmentation model without using programming languages for statistics that can be integrated into sales process. The result of research show that without advanced IT and/or statistical knowledge one can analyze “Big Data” and create models that can be transferred and implemented in sales or other business processes.

Atslēgas vārdi
data mining, sales process, big data, segmentation, data analytics, predictive modelling

Verdenhofs, A., Tambovceva, T. Data Mining Process Integration in Sales Process. No: Riga Technical University 58th International Scientific Conference “Scientific Conference on Economics and Entrepreneurship” (SCEE’2017): Proceedings, Latvija, Riga, 13.-14. oktobris, 2017. Riga: Riga Technical University, 2017, 53.-54.lpp. ISBN 978-9934-22-000-5. ISSN 2256-0866.

Publikācijas valoda
English (en)