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IBM Smart Analytics Optimizer
Revolutionary
Technology for
Data Warehouse
and Business
Intelligence
Workloads
By Patric Becker and Cuneyt Goksu
IT budgets are shrinking, but businesses
are generating more data than
ever, and must make sense of it faster
than ever—turning information into
insight. Business expectations are growing
and every company faces the challenge
of doing more with less.
How can managers make the right
business decision with confidence?
Companies must get smarter about
themselves, their markets, and their
customers. Analytic Business
Intelligence (BI) solutions are designed
to help them. Successful businesses
understand they must use information
to drive innovation to change the way
they do business and differentiate themselves
from competitors.
Many companies have taken a data
warehousing approach and stacked data.
Of course, this presents some issues,
such as dedicated servers and storage,
that result in siloed data stores run and
managed separately from operational
systems. Mostly, this data is wildly distributed
in the company. This causes
challenges for those who need a clear,
enterprisewide view. As these discrete
systems populate across an organization,
inconsistencies, complexities, and
indecisiveness set in.
While the trend to put information
in the hands of decision-makers has
powerful momentum, successful deployments
require data warehouse changes
that involve the underlying enterprise
information infrastructure. Data warehouses
must deliver information into
operational transactions, portals, and
other tools to provide the necessary
insight to the right people, at the right
time, in the right context.
The latest system technology is creating
a more integrated approach to deliver
near-real-time, actionable intelligence
in an easy-to-digest format for desktops,
laptops, and handheld devices—allowing
managers, wherever they are, to
make better, smarter business decisions
with greater confidence than ever
before, faster than ever before. What’s
occurring is a paradigm shift from isolated,
application-focused systems to
an enterprisewide information infrastructure.
Instead of continually moving
the data to the users, organizations
now can locate their business processes
next to the operational data to simplify
the infrastructure.
Now, companies can eliminate the
complexities of existing systems to
deliver an integrated environment to
meet their data warehouse processing
requirements. The inefficiencies inherent
in having multiple, distributed copies
of data across systems can be
eliminated by proposing a new model
that streamlines a business infrastructure.
The newest offering is the IBM
Smart Analytics Optimizer, which lets
businesses integrate BI into their environment.
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