IT-led innovation poses a whole new set of technical challenges, including collecting and managing data from various and disparate sources. Now, the emergence of cloud-based, third-party software and services that cut costs and improve efficiency offer parallel opportunities that can ultimately have a transformative impact on a company’s process of innovation.

1. Paving the way
Using the right technology
Taking to market
A toolbox for bottom-up experimentation
Culture of innovation
Collaboration platforms
Innovation days
Fast data collection
Incentives and support
Exposure and testing
A wide net for ideas
Data and the cloud:
the IT innovator’s enablers
Cost-effective
Fast experimentation scenarios
The right organisation to take
innovations to market
Ensuring smooth transitions
Corporate input v isolation
The barrier to success is often not the lack of
creative ideas, but rather the enterprise’s
ability to execute and bring them to market.
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“Insulation becomes
isolation when project leaders
don’t have a good plan for
transitioning a new product or
service to the market or scaling it
up to meet customers’ needs.”
Dr Robert Wolcott
Co-founder and executive director
of Kellogg Innovation Network,
Northwestern University
Online databases and
internal platforms can track
the success of different
innovation projects over time.
“You can get really good
feedback and data very quickly.
Innovation doesn’t have to
mean months or years.”
Cheryl Ainoa
Senior vice president
of platform development,
Intuit
Cloud computing and more agile data management give
companies greater room to fail gracefully and to push
forward innovation initiatives quickly in a well-informed way.
Combined with leadership and organisational support, they
can help IT teams foster creativity, agility and innovation.
IT-led innovation poses a whole
new set of technical challenges,
including collecting and
managing data from various
and disparate sources.
Now, the emergence of
cloud-based, third-party software
and services that cut costs and
improve efficiency offer parallel
opportunities that can ultimately
have a transformative impact on a
company’s process of innovation.
For Intel,
integration of
multiple data
sources resulted
in revenue
optimisation of
$264m in 2014.
Private
Hybrid
Public
Pathway to IT innovation
Data fabric