 Enhancing information management through data mining analytics to increase product sales in an e-commerce platformStephan Kudyba and Kenneth Lawrence International Journal of Electronic Marketing and Retailing, 2008, vol. 2, issue 2, 97-104 Abstract: This paper addresses the utilisation of complementary technologies to more effectively identify and accommodate the market demand for product documents available via an e-commerce platform. More specifically, it investigates the utilisation of data mining methodologies to enhance the information management of e-commerce data to better identify consumer purchasing patterns and preferences for engineering-based documents. By enhancing the knowledge of consumer behaviour through the effective transformation of data into actionable information, organisations can enhance the e-commerce functionality to more effectively direct consumers to the existing products that are available within a document repository. The result is a higher volume of sales for existing customer visits and increased customer satisfaction. Keywords: information management; data mining; customer relationship management; CRM; document repositories; e-commerce; data analytics; electronic marketing; retailing; electronic commerce; consumer behaviour; customer satisfaction; purchasing patterns; consumer preferences . (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijemre:v:2:y:2008:i:2:p:97-104 Access Statistics for this article More articles in International Journal of Electronic Marketing and Retailing from Inderscience Enterprises Ltd |
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