Enhancing information management through data mining analytics to increase product sales in an e-commerce platform. (6th August 2008)

• Record Type: Journal Article
• Authors: Kudyba, Stephan; Lawrence, Kenneth
• Is Part Of: International journal of electronic marketing and retailing. Volume 2:Number 2(2008)
• Page Start: 97
• Page End: 104
• Publication Date: 2008-08-06
• Subjects: 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; Telemarketing -- Periodicals; Internet marketing -- Periodicals; Electronic commerce -- Periodicals; 658.872
• Languages: English
• ISSNs: 1741-1025

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.