With all of those remote sensors out there, every wonder how machine-to-machine (M2M) administrators digest all of that information and make it actionable? The answer is that, to date, it has been a challenge.

Deerfield Beach, FL-based Viewbiquity, a leading provider of advanced M2M solutions, announced on November 1 that they have an answer.  The company announced it is integrating Automated Data Layering (ADL) capabilities into the Viewbiquity (News - Alert) Cloud Interface (VCI) — its cloud-based, open source M2M platform that seamlessly connects multiple business processes such as property management, energy, voice, data and video communications, inventory management, IT infrastructure and tracking.

Through Automated Data Layering, VCI customers will be able to view detailed sensor data in user-selectable increments and intervals. This will enable comprehensive statistical analysis of system behavior and performance, creating the actionable analysis described above. And the good news is that the Automated Data Layering feature is available to VCI customers at no additional charge.

As Tom Shafron, chief executive officer of Viewbiquity stated:

”One of the challenges M2M customers face is finding an efficient and intuitive way to analyze and use the sometimes vast amounts of sensor data that these solutions capture…“In many M2M deployments, well over one billion data points may be captured and stored in a short period of operation, creating an unwieldy environment for businesses, which often cannot efficiently parse and analyze their own data. Automated Data Layering gives VCI customers instant visibility into data that’s stored in the cloud as intuitive, summarized layers. As a result, customers do not have to sift through volumes of data to find the information they need. Through Automated Data Layering, our customers have instant access to locate the most appropriate data to help them make the right decisions for their businesses.”

Viewbiquity is highlighting how ADL allows users to navigate through multiple layers to review relevant data. In fact, customers will be able to review sensor and performance data in any specific increment, from macro levels that represent billions of data points, down to the micro level consisting of single data points. ADL also lets users view data across any timeframe or interval. ADL is incorporated into the Viewbiquity Cloud Interface. It can organize and present data collected from any data source or sensor connected to the VCI system.

About Viewbiquity’s VCI platform

For those unfamiliar with Viewbiquity’s VCI solution, it has the following characteristics:

• A Hybrid, secure, cost-effective solution that combines the power, flexibility and efficiency of cloud-based technology with low-cost edge devices.
• Incorporates command and control capabilities, two-way VoIP communications, video surveillance, sensor monitoring, geofencing, as well as supporting both automated and manual responses.
• Is delivered as a monthly service that requires no activation costs, and can be implemented through low-cost edge devices like laptops and netbooks.
• Supports Java Script and HTTP APIs, i.e., is developer friendly.

VCI is available through Viewbiquity’s network of approved service providers and integrators located throughout North America, Europe and Asia.

With the cloud clearly emerging as a beneficial way for M2M applications that span multiple sites with thousands of touch points, the ability to capture all of the information from edge devices, analyze solution states and use that information rapidly and decisively has been a challenge. Viewbiquity’s VCI with ADL is giving system administrators the tools they need to optimize their M2M investments.

Peter Bernstein is a technology industry veteran, having worked in multiple capacities with several of the industry's biggest brands, including Avaya, Alcatel-Lucent, Telcordia, HP, Siemens, Nortel, France Telecom (News - Alert), and others, and having served on the Advisory Boards of 15 technology startups. To read more of Peter's work, please visit his columnist page.