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Glassbeam Introduces Glassbeam Health Check

MOUNTAIN VIEW, CA — (Marketwired) — 08/27/13 — , an innovator in the Big Data applications market for machine data analytics, today announced , a cloud-based OEM solution that delivers a continuous pulse on the “health” of products. Leveraging Glassbeam-s patent-pending Semiotic Parsing Language (SPL), Glassbeam Health Check is designed to help product manufacturers better understand product usage and increase customer support revenues by offering new value-added services to their end users.

Customer support is a critical business function that provides endless value in building customer relationships and loyalty. Quality of support services can heavily influence the monetization of a long-term relationship between product supplier and user. However, many companies continue to view customer support as a cost center rather than an incubator for innovation and profit.

The key to providing proactive support services is unlocking the Big Data gold mine, turning machine data into valuable insights into how products are used, potential problems and the overall user experience. With Glassbeam Health Check, world-class companies, such as Hitachi Data Systems (HDS), partner with Glassbeam to access a new breed of machine data analytics, which helps product managers, engineers and customer support teams alike to improve their understanding of how products perform across customer environments.

“Effective support services don-t simply respond to customer problems; they must be proactive by spotting customer issues before they surface,” said Phil Townsend, Vice President of business operations, global services at Hitachi Data Systems. “Glassbeam Health Check enables us to provide our Hitachi NAS Platform customers with a premium support experience by collecting, analyzing and transforming large volumes of raw data, generated by the products themselves, and then deliver actionable intelligence into how products are actually being used.”

Glassbeam Health Check collects and analyzes machine data from every enabled product, every day — a volume of data that would not be possible for administrators to analyze themselves. Glassbeam employs its core SPL technology, providing capabilities that would otherwise take years for a product manufacturer to duplicate.

– At a quick glance, customers can tell what percentage of a product is being used, and whether it is time to add or reallocate resources well in advance of capacity overload.

– Problems, errors or other potential concerns can be viewed in summary fashion, alerting administrators to situations that require attention.

– Software versions are tracked automatically, ensuring that all products are up-to-date.

“Traditionally, solutions on the market have focused on improving operational and business efficiency, but haven-t yet made the leap to an entirely new breed of analytics capabilities custom made for machine data — until now,” said Puneet Pandit, CEO and founder of Glassbeam. “Glassbeam Health Check delivers an industry-first analytics solution that actually helps drive new revenues for our partners. Our unique technology converts unstructured data into actionable insights, enabling product manufacturers to glean a wealth of information that can be used to better understand product behavior and use, improve customer support and create a whole new revenue stream.”

Glassbeam Health Check can be sold as a separate line item or packaged as part of a premium support plan. As a cloud-based solution, Glassbeam Health Check requires no capital investment by product suppliers or their customers, and can be easily accessed via standard web browser. Pricing is available upon request.

Glassbeam-s technology enables customers to parse and mine machine data to make better strategic and operational business decisions. Glassbeam customers and partners include Fortune 500 companies and enterprises across a variety of markets including storage, wireless, networking and medical devices.

Glassbeam Inc. is a Big Data applications company specializing in multi-structured machine data analytics for IT and business users. Glassbeam-s Big Data applications for customer support, product development and sales leverage the company-s breakthrough Semiotic Parsing Language (SPL) that can quickly extract strategic intelligence from complex operational data contained in multi-structured machine data.

Danielle Salvato-Earl
Kulesa Faul for Glassbeam
(650) 340-1982

Posted by on 27. August 2013. Filed under Hardware, Picture Gallery. You can follow any responses to this entry through the RSS 2.0. You can leave a response or trackback to this entry

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