Deriving value from analytics requires organizations to prepare data for use, but today’s explosion of data volumes, types and sources makes this challenging. Moreover, information must be placed in an operational context to be acted upon. Because current integration methods cannot address all these needs, the results often are inflexible systems and data sprawl. Now, though, data preparation tools are available that enable virtualized access to multiple data sources, making it possible to deliver information promptly and in the appropriate contexts.

1. Sources: Information Optimization Benchmark Research, Big Data Analytics Benchmark Research,
Big Data Integration Benchmark Research
Sponsored By:
www.ventanaresearch.com
Rethinking Data
Integration
Companies must master the twin
challenges of integration and
deployment. Nearly four out of five
(79%) organizations said that the
ability to define, model and lay out
information for use in applications
is important or very important.
Likewise 70 percent said that
it is important or very important
to integrate information with
operational systems to facilitate
access, and 58 percent said that about the ability to rapidly
assemble or develop information-class applications.
Two in five (41%) organizations
said that their current technology
for providing access to information
is too difficult to integrate across
businesses and systems.
Business users need
information integration.
Deriving value from analytics requires organizations to
prepare data for use, but today’s explosion of data volumes,
types and sources makes this challenging. Moreover,
information must be placed in an operational context to be
acted upon. Because current integration methods cannot
address all these needs, the results often are inflexible
systems and data sprawl. Now, though, data preparation
tools are available that enable virtualized access to multiple
data sources, making it possible to deliver information
promptly and in the appropriate contexts.
Basic tasks such as preparing
data, cited by 47 percent of
organizations, addressing quality
and consistency issues (45%)
and manually assembling data
(39%) consume the most time
in the creation and deployment
of information.
2 5out of
79%
70%
58%
47%
45%
39%