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Today, continuous innovation is
considered an absolute must. Without innovation, an enterprise will
invariably lose competitive advantages over time. Many companies,
mostly larger enterprises, have an innovation strategy, a defined
innovation process, and even a VP Innovation role (or similar role)
to assume overall responsibility for innovation. However, the vast
majority of companies rely on kind of 'chaotic' innovation, meaning
that there is no systematic basis for managing innovation. More or
less, innovation is an incidental result. But it need not stay that way.
The good news is that companies that
have not given proper attention to systematic innovation management
are now in the position to change course for the better with
relatively little effort. A new category of software, which we term
'Rapid Business Implementation Software', makes the game-changing
factor. It implements an Integrated Composition and Execution
Environment (ICEE) that effectively and efficiently supports
enterprise lifecycle management underpinned by enterprise
architecture and enterprise engineering.
Innovation engineering is an enterprise
engineering discipline. The term 'innovation engineering' covers all
processes and activities required for planning and managing the
collaborative engineering aspects of transforming ideas into output
(new or improved products, services, processes, organizational
structure, business model).
Viewing innovation engineering as an
enterprise engineering discipline leads to tighter process
integration, resulting in productivity gains through better
collaboration, faster detection of process failures, and improved
reporting capabilities.
Software products that have reached an
acceptable degree of maturity are only now emerging on the scene.
They support dynamic, unstructured, collaborative ad hoc processes,
which are typical for case management, as well as repeatable,
structured processes. Innovation engineering relies heavily on case
management processes. Ideation, the process of creating new ideas,
represents a typical example.
Now, innovation engineering can be
viewed as an integral element of enterprise engineering. Instead of
having to use multiple task-specific software products with users
playing the role of process and data integrator, and translating
between different semantics, the entire enterprise engineering
lifecycle is now supported by a homogeneous and powerful software
environment. It is meta data-driven, model-driven, and
component-based, and can thus be productively used by non-IT experts.
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