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Today's technology companies are collecting masses of Machine Data from customer implementations, but few have the capabilities to mine this information for true business intelligence. In this webinar, learn how emerging analytics platforms can mine your raw machine data to increase support efficiencies by reducing the mean time to resolution (MTTR) for product issues, by optimal case deflection, and by facilitating the creation of a centralized knowledgebase. In addition, gain insight into customer adoption and usage patterns--a key element of Customer Success programs.
Hear from Jeremy DalleTezze, TSIA's Director Research, Data Analytics, how companies are struggling to find actionable insight from product usage information, and learn from Carlos Quezada, Sr. Director of Customer Solutions for Glassbeam, how to create value-added "Health Check" offerings for end-customers by providing predictive and prescriptive maintenance services that help you preempt incidents of product malfunction or performance degradation. Find out how Glassbeam is partnering with their customers to reduce costs and increase revenues from their Support and Services Organizations.
Senior Director Research, Data Analytics, TSIA
Sr. Director of Customer Solutions, Glassbeam
Publish Date: April 2, 2015
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