Glassbeam: Automated & Highly Visual Solution for Product Analytics
Date: Wednesday , November 16, 2011
Glassbeam is a provider of software-as-a-service (SaaS) solution for product analytics – an automated, highly visual solution to help equipment manufacturers unlock the business value of operational data that is routinely communicated back to their organizations via “Call-home” capabilities or as “Support bundles” when escalations happen in the field. The solution parses, builds a data warehouse, and analyzes streams of incoming operational data from the installed base on a near real time basis.
This Sunnyvale, CA headquartered company is led by Puneet Pandit, who brings over twenty years of global experience in the IT industry to Glassbeam. He sets the company direction, building the right team and delivering on the promise of ground-breaking product analytics solutions. The company’s solution incorporates patent-pending technology, called SPL (Semiotic Parsing Language), that can analyze machine data from multiple sources and automatically create data warehouse containing actionable information for key functions including support, services, engineering, sales and marketing.
Fortune 500 companies such as IBM, EMC and HDS, today utilize Glassbeam to translate this machine data into critical operational and usage information. The Glassbeam software assembles information from thousands of machines at customers’ install-bases worldwide. Support, service, engineering, sales and marketing teams, leverage the intelligence presented by Glassbeam's software to gain insight into actual product and feature usage in the field, potential customer use problems, and increase the effectiveness of up-sell and cross-sell programs. It is delivered as a cloud-based SaaS solution, and can be offered on-site as a managed service. The solution is sold to product manufacturers, on an annual subscription based pricing model. Fast and measurable return of investment (ROI), is another main advantage that the company brings to its clients.