Friday, April 10, 2009

SaaS and BI


At Glassbeam we are at the convergence of two very hot trends – SaaS and Business Intelligence. In this economy, companies need to invest in understanding and retaining their customers. They need to figure out ways to provide greater value to their existing customers by understanding how their products are used, satisfying unstated customer needs and providing faster resolution to existing product issues.

 

At the same time executives cannot spend time and money on in-house complex datawarehousing technologies and analytics tools to mine the required data. Further any investment in internal IT solutions is not going to payoff for at least 18 months.

 

Executives need a quick ROI, pay as you go option to add new value to their customers. Hence Glassbeam, which provides a fully managed SaaS solution for analyzing customer installed base and field information using product operational data such as log, configuration and system data.

 

 

Posted via email from Glassbeam Product Analytics

Wednesday, March 25, 2009

What is Product Operational Data?


Innovation in the data center and in all computer-based systems is driving efficiency gains and cost savings. At the same time, innovations are creating more complex systems that are more difficult to understand and diagnose. For insight into these systems that can help you solve the problems, you can analyze the system’s operational data.

 

Operational data is information about how well a system is performing, how a system is configured, and how the system is being used. A system is any hardware or software that performs a complex set of functions, such as a software application or a home electronic gadget. Operational data is either logged by the system or extracted through system queries and typically contains information about the operation of the system such as configuration, alerts, performance statistics, and general status.

 

Operational data can help with reactive diagnostic activity, proactive and predictive problem identification, and business intelligence analysis if the operational data is designed to contain rich information and is sent to (or accumulated into) a central repository. The content and format of the operational data and the way the data is stored or transmitted should be part of a well-designed product. Unfortunately, systems are often designed with little attention paid to the operational data to be collected and how it will be logged.

 

Read more in this whitepaper on Best Practices in generating product operational data.

 

 

Posted via email from Glassbeam Product Analytics

Glassbeam listed as Gartner cool vendor

Glassbeam Named "Cool Vendor" by Leading Analyst Firm

Monday, March 16, 2009

Product Analytics - Behind the scenes


Download now or preview on posterous
product analytics.pdf (840 KB)

Look into Glassbeam’s technology. See the power of SPL to parse semi-structured data.

 

Posted via email from Glassbeam Product Analytics

Tuesday, February 3, 2009

Product Intelligence and Analytics


 

The Emergence of Product Analytics & Intelligence

A new Harbor Research White Paper explores the game changing impact of product analytic tools.

Early adopters of product analytic tools—particularly IT equipment and infrastructure providers—see its game changing impact.  They believe product analytics will bend the traditional value chain into a “feedback loop”; valuable information from connected products will continually flow back through the complex business alliances that create, deliver, and support those devices.

Most IT equipment manufacturers are classic product companies.  They tend to limit their service and support offerings to the minimum capabilities required to ensure customer satisfaction.  In recent years many IT equipment players have advanced their networked service and support offerings as a new means to generate sustainable growth. However, while most support automation programs do impact the costs and effectiveness of delivering services, they do little to make use of “product intelligence”: the vast stores of information value based on the usage and behavior of connected IT equipment.  A new generation of analytic tools is emerging that takes the value of connected products a significant step further. These tools dramatically increase a product OEM’s focus on customer needs—in  many cases before the customer recognizes these needs.  As it evolves, product intelligence will amount to nothing less than a “digital nervous system” that automates functions and processes, allowing equipment OEMs to achieve undreamed-of customer intimacy.  

Harbor Research's latest www.harborresearch.com%2forchesys.html">White Paper explores the adoption climate, benefits, economic impact and success factors arising from connected product analytics.  It was provoked by the introduction of www.glassbeam.com%2f">Glassbeam, a new product analytics offering from Orchesys. Glassbeam offers a unified solution for analytics related to product usage, behavior and support, based on leveraging embedded intelligence in IT equipment. Glassbeam is not an incremental new support scheme. Rather, it offers a significant step-function change in the way systems and equipment performance will be analyzed and managed in the future.  

Currently, most of the discussions concerning product support automation focus almost exclusively on the basic monitoring of values such as alarms and alerts. But the attention that basic monitoring is receiving threatens to steal the limelight from the real revolution: utilizing connectivity and analytic tools to tightly integrate customers and their equipment partners.  This is where the real value lies.  

The feedback we have gathered from early adopters shows that while field intelligence provides significant improvements to product support, there is much more hidden value in product intelligence than heretofore understood. Connectivity enables many additional values including transparency into the usage and behavior of products as well as feedback to customers to help optimize systems and application performance. Armed with better customer intelligence, services organizations can now deliver value added services such as health checks and audit reviews to their customers, realizing higher revenues and increasing customer satisfaction and adoption of new products and solutions. 

We believe product data analytics presents a unique dimension to the broader connected products and services story.  Any equipment manufacturer that chooses to network-enable its products and leverage this information through product analytics holds a brand-new trump card: the manufacturer gains valuable information and insights generated from networked devices. This creates a profound empowerment that is surprisingly under-appreciated. 

Posted via email from Glassbeam Product Analytics