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Enhancing information management through data mining analytics to increase product sales in an e-commerce platform

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  • Stephan Kudyba
  • Kenneth Lawrence

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.

Suggested Citation

  • Stephan Kudyba & Kenneth Lawrence, 2008. "Enhancing information management through data mining analytics to increase product sales in an e-commerce platform," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 2(2), pages 97-104.
    • Handle: RePEc:ids:ijemre:v:2:y:2008:i:2:p:97-104
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