The Utilization of Data Mining Analytics to Enhance the Return on Investment of Online Document Repositories

This research paper addresses the utilization of complementary technologies to more effectively identify and accommodate market demand for knowledge resources available in a document repository. More specifically, it investigates the utilization of data mining methodologies to better identify consumer purchasing patterns for engineering based documents which are available via an e-commerce platform. Document repositories often possess voluminous sources of value added information for a given marketplace, however one drawback to this resource is that consumers often do not have the time to fully and effectively search existing documentation. One way to overcome this is through the incorporation of data mining technologies that identify consumer preferences and purchasing propensities. With this information, e-commerce platforms can more effectively direct consumers to existing resources that are available within a document repository. The result is a higher volume of sales for existing customer visits and increased customer satisfaction.