Decades into the Digital Age we see data getting bigger and bigger by
the millisecond. Ever day there’s an equivalent of 2.5 quintillion
bytes of data gathered from sensors, mobile devices, online
transactions, and social networks. This is big data. It’s a treasure
trove of information and organizations are struggling on how to use it
in a meaningful way to improve products, services, or customer
experience.
With
such massive amount of data from various industries and sectors, the
shift to IT analytics is a crucial business decision that is
transforming decision-making for IT and business operations. IT
analytics is slowly earning a huge chunk of an organization’s investment
to drive decisions for IT and business operations.
By using predictive analytics, which harness the vast quantities of
data, organizations can respond more quickly and accurately to customer
needs, better anticipate and prevent outages and deliver fact-driven
metrics to drive better business outcomes. Analytics can also make
improvements across the software development and delivery lifecycle,
further reducing cost, risk and time ot market.
The core of predictive analytics relies on capturing relationships
between variables and past occurrences, and exploiting that information
to predict future outcomes. Predictive analytics allows companies to
move from reactive to proactive management which is pivotal to
protecting existing revenues and expanding opportunities.
Today, IBM is well positioned to help leverage these new
opportunities. IBM has Analytics Solution Centres around the world which
enables them to meet growing client demand for advanced analytics
capabilities as part of new, smarter business systems.
Business analytics is one of the fundamental drivers of IBM’s
performance with focus on delivering higher value capabilities to
clients. More than 200 IBM mathematicians focus exclusively on
analytics. IBM has made a $1.7 billion acquisition of Netezza, Unica,
Coremetrics, and Sterling Commerce which allows the company to gain the
ability to help businesses quickly gain intelligence to social networks
and online media sources and incorporate this insight into their overall
marketing campaigns.
IBM projects $16 billion in business analytics and optimization revenue in 2015.
