Last week, TOP500 announced that IBM POWER Sequoia supercomputer at Lawrence Livermore National Laboratory (LLNL) is ranked the world’s most powerful computing system. Sequoia is made up of 96 racks of the IBM Blue Gene/Q system
– a platform that IBM specifically designed to help organizations like
LLNL solve large-scale scientific and societal problems that make our
world smarter. As someone who helped build our Blue Gene system business
earlier in my IBM career, I feel a sense of personal pride that this
new system achieved record-breaking performance.
The concept of supercomputers can seem like a fantasy to everyday
business leaders and not relevant to their own operational challenges.
However, the same POWER microprocessor architecture that provides the
muscle behind Sequoia also drives many of the world’s enterprise
computing systems. Combining the knowledge we’ve gained from
supercomputer work, our Power Systems line
of servers and industrial-strength, highly secure virtualization
technologies, we are helping businesses of all sizes deliver new
services faster with higher quality and superior economics.
A prime example of this is in the area of business analytics. In
today’s fast-paced marketplace, simply managing information is no longer
enough. Companies need to make decisions quicker than ever before and
those decisions must be based on facts. Data can provide those facts,
but with vast amounts of data available from many sources – such as
transaction records of credit card purchases, posts to social media
sites, or cell phone GPS signals – it can be overwhelming. Some
organizations are finding that there is simply too much data, and too
little time and resources to make sense of it all.
Business analytics
solutions can help organizations examine that vast amount of data
quickly to spot trends and anomalies, and make it actionable through
predictive modeling. More insight into current and target customers is
an opportunity for every business to build loyalty and gain competitive
advantage. The key is implementing a system that enables people to be
proactive, rather than reactive, about customer demands and shifts in
the marketplace.
Just as a supercomputer can compute trillions of calculations per
second when its system is tuned to the scientific task at hand,
business analytics software that runs on a server platform that’s
optimized for that purpose can really make a distinct performance
difference. You can also significantly lower your total computing costs
by taking a workload optimized approach to business analytics systems
design versus a “one-size fits all” approach.
Turning information into world-changing insights is not just the
domain of complex scientific projects. Your organization’s success does
not necessarily require the ability to carry out 16 quadrillion
calculations a second. What it needs is to be smarter – about the
computing systems it uses to anticipate and react to your customers’
needs. In this way, you could say that business analytics has become the
equivalent of high performance computing for everyday businesses.
Because making computing smarter is beneficial for organizations of
every size.
June 25, 2012
From http://www.smartercomputingblog.com/2012/06/25/business-analytics-is-high-performance-computing-for-the-everyday-business/
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