Predictive Analytics Make Their Way to Enterprise Networks - Page 2

By Drew Robb | Posted Dec 14, 2010
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Breakout Year

He commented that this coalescence of trends is showing up sharply in the marketplace. Netuitive has seen a rush of large enterprise customers who want to manage complexity that they say is now several orders of magnitude higher than it was just a few years ago.

"They are starting to achieve visibility across platforms and vendors using a math-based approach involving behavior learning and predictive analytics," said Heimlich. "These IT analytic-based approaches are being validated by big early adopters in financial services and telecommunications who are some of the largest and most demanding deployments of virtualization in the world."

He expects 2011 to be a breakout year for management in the cloud fueled by this framework of analytic-based approaches. IT leaders, he believes, will start to realize the promise of the cloud by serving line of business owners more efficiently, CFOs will realize lower hardware costs and energy bills from right-sized infrastructures, and application owners will be able to deploy or change resources in minutes, not weeks.

"This is what effective virtualization and cloud management is all about -- service-level visibility, automated problem diagnostics and predictive analytics enabling organizations to manage their performance and capacity proactively and end-to-end," said Heimlich.

He cites some impressive numbers to back up his claims. The Netuitive user base includes seven of the top 10 banks and two telco giants who are now able to predict degradations and avoid outages for their most critical applications.

In one case, the organization is using predictive analytics to analyze more than a million metrics simultaneously allowing it to eliminate 3,480 hours annually in service degradation representing a business savings of $18 million.

David Williams, an analyst at Gartner studied this implementation. He said that this firm, one of the world's largest telecommunications companies, became an early adopter of behavior learning management software, which, by leveraging and enhancing existing management tools, moved from a reactive state to a proactive one where IT issues are identified before impacting service levels.

"A large telecommunications company achieved significant, measurable cost savings and increased IT operations management efficiencies through the adoption of a new, emerging availability and performance management (APM) solution using behavior learning technology," said Williams. "Behavior learning technologies have matured, allowing IT organizations to move from a reactive state focused on mean-time to repair to a proactive state where outage avoidance becomes a more realistic objective."

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