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In today's fast paced world
technology is under constant
pressure to remain agile and
reinvent itself to satisfy new
demands from the business, our
experience shows that organisations
that have invested in Information
Modelling practices are able to more
readily meet and exceed these
demands on a consistent basis.
Information Modelling resolves to
a composite solution that ensures
the movement of business content
throughout the organisation's
technology enterprise in the most
efficient and cost effective manner
possible.

Information Modelling provides a
cohesive framework for an
organisation's data structures,
workflows and business processes
that reside outside its core
applications but still within its
technology infrastructure. Why
modelling? Lonispace believe the
traditional approach to technology
implementations of complex business
solutions does not achieve the
desired results for a project of
lower risk, improved productivity or
an enhanced customer experience,
however by contrast, modelling
provides a fluid reference to the
technology to be deployed with the
focus being, the business objectives
not the technology imperatives.
Lonispace has developed a best
practice implementation framework
that supports our Technology
Modelling approach and ensures the
processes and modelling artefacts
described in the Information Model
conform to the Implementation
Framework to ensure that they
provide a transparent and auditable
roadmap, ensuring appropriate asset
re-use in future projects.

Lonispace as part of their
Information Modelling methodology
have defined an Information Map
template that provides the glue
between the business inputs and the
underlying technology outputs that
are recommended to support the
business. The Information Map
template provides as the input
phase; the business requirement maps
by department, by business function
and by department crossover at the
necessary level of detail that
provides for further break down into
detailed process and data maps,
while the Information Map template
provides as the output phase; the
process maps to information maps to
data maps by applications and data
repositories as well as the
recommended additional applications
and data repositories.
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