Jha, “Data Mining for Customer Service Support,” Inform Manag , 38(1), 2000,: 1-13.Hui, S.C. and Jha, G. ( 2000 ), “ Data mining for customer service support ”, Information & Management , Vol. 38 No. 1, pp. 1 ‐ 13 . [] , [] []...
To do this, the proposed data mining process is performed by the fusion of both production and customer service data for industrial products. Specifically, the data mining process focuses on the practical concerns on the failure analysis of industrial products. First, quick and incremental analysis ...
Data mining helps companies build personal and profitable customer relationships by identifying and anticipating the needs of customers throughout the customer lifecycle.Data mining can help to reduce information overload and improve dec... M Danubianu,VC Hapenciuc 被引量: 16发表: 0年 加载更多研究...
This framework uses text mining to analyze user-generated content and tries to provide a scientific service innovation scheme for express enterprises. Firstly, the authors crawl online reviews of express companies and use LDA model to identify service attributes. Secondly, customer satisfaction is ...
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I'm an internal consultant, implementing the solution for my current and previous companies. At my company, we have a contact center where the customer calls for the repair or the service of their product. Once that call lands at the call center, the agent supports the customer to solve th...
Customer service today is a public affair. Poor service is no longer resolved in private through traditional call centers and email channels but laid bare on social media with far-reaching reputational consequences—and opportunities—for companies....
Considering non-functional properties, particularlyQuality of Service(QoS), is crucial for companies to meet the requirements of their customers (Berbner et al., 2006; Daniel et al., 2008).Quality of Service(QoS) is a broad measure for how well a service serves its customer. Particularly, fo...
Process mining is an ideal solution to start planning for automation. Front-end communication, back-end workflow, and the thousands of processes that govern the supply chain, customer operations, IT operations, finance and administration, quality, and sustainability can benefit from process mining as...
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