Log Analytics for Customer Service & Support - Use Case Featuring Meru Networks

Presented by

Carlos Quezada, Director of WW Service Operations, Meru Networks; Vivek Sundaram, Solutions Architect, Glassbeam Inc.

About this talk

Support teams of any complex product manufacturer frequently face problems in troubleshooting customer issues to quickly identify the root cause and deliver a solution to resolve the issue. Tune into this webinar to learn more about: - How to simplify looking through logs for faster troubleshooting? - How can I automate to resolve issues faster? - How to codify tribal knowledge in my group into a tool? - How to effectively store an accessible history of my logs? Meru Networks, a market leader in the development of mobile access and virtualized Wi-Fi solutions, uses the Glassbeam platform to quickly diagnose and resolve customer issues to increase the efficiency of its support team while elevating customer satisfaction levels. Glassbeam’s log analytics solutions go beyond simple log file search to deliver “big data” applications with pre-built dashboards and reports that quickly identify key trends, exceptions and events requiring immediate attention.

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Glassbeam’s platform is an automated highly visual solution to unlock the business and operational value of machine data. Glassbeam has a core technology (SPL™) to parse this unstructured / semi-structured data and build a scalable data store and a set of pre-packaged applications for deep analytics.