Blogs

Mckinsey weighs in on big data

GLASSBEAM
Jan 31, 2012

The Q4, 2011 issue of MCKINSEY QUARTERLY focused exclusively on big data and its implications for various industries moving forward (Free registration required). Makes for a very interesting read!

Some key takeaways:

– Industries with the most potential for reaping benefits from big data include Finance, Insurance, Transportation and Warehousing, and Health Care.

So, what is spl?

GLASSBEAM
Jan 24, 2012

Simply put is stands for Semiotic Parsing Language. But, more importantly it is the core of our technology.

SPL is an intuitive language that describes the structure and semantics of a class of documents. For semi-structured data, as is typical with our customers, it means we can utilize the structure inherent in the data and reflecting it in a high-performance and highly normalized data warehouse.

Our customer-onboarding process

GLASSBEAM
Jan 16, 2012

We’ve developed an effective process for bringing new customers on board.

While a detailed description of each phase is beyond the scope of a blog post, here’s an outline:

Glassbeam and support teams

Glassbeam
Jan 05, 2012

We’re in the midst of finalizing a case study featuring how one of our customers used Glassbeam to make it’s support organization more efficient. Will be sure to update you when we launch the case study, but can share some key findings,

One of the greatest benefits of using Glassbeam was the usage of threshold events and automatically opening cases in CRM systems (hitherto done by L1 support personnel). This resulted in substantial cost savings.

Ending 2011, and ushering in 2012

Glassbeam
Dec 25, 2011

We’re glad to be authoring this post in the midst of a bunch of exciting activity.

2011 proved to be a very productive year – with product enhancements, notable media coverage, customer wins and more. 2012 promises to bring in much more – on these fronts, as well as with new partnerships and new initiatives that we embark on!

Best Wishes for a great Holiday season!

Glassbeam and medical devices

Glassbeam
Dec 16, 2011

We recently posted a case study on how we help a prominent medical devices company uses our solution to monitor how, which and when products are being used by medical professionals. This has helped the company make decisions on product features and even to identify the right cross-selling and up-selling opportunities.

Archived webinar, and more resources

Dec 09, 2011

Our Webinar on December 6 was well-received by an audience comprised of folks from the medical devices, testing equipment and wireless space.

We’ve set up a new Resources page that has links to all whitepapers, datasheets, webinars and analyst reports till date. We will be updating this page regularly to keep you abreast of exciting developments at Glassbeam.

Integrating services into our saas offering

GLASSBEAM
Nov 30, 2011

Our goal of accurately capturing, assimilating and displaying product operational data often results in the need to provide value-added Services to our clients.

One that results fairly often is the need for SPL Maintenance. We work with manufacturers of complex technology platforms whose products get upgraded frequently — resulting in newer versions of call-home data and support bundles. These now have to be parsed and compiled; and our engineers routinely work with customers to update definitions that accurately reflect he nature of incoming data..

Partnering with glassbeam

GLASSBEAM
May 27, 2016

Glassbeam is always interested in exploring partnership opportunities with companies whose offerings are adjacent to ours – Knowledgebases, BI, CRM etc

We’ve already WRITTEN about our partnership with Opsource. We also partner with VERTICA to help assimilate and store our data; and with LOGIXML to provide the cool dashboards that help our users gain compelling visual insights from trends in this data.

Getting started with a trial account

GLASSBEAM
Nov 15, 2011

Occasionally, we have get feedback bemoaning the fact there is no way to get started with Glassbeam ‘in minutes’ (as is typical of many SaaS companies). We have to remind visitors that we collect and analyze complex operational data and it takes some upfront work to get going with our software.

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