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Enterprise
Integration Inc. (US)
Biography
Al Baharmast specializes in providing business transformation,
information technology strategic planning, enterprise
architecture and standard software solution implementation
advisory services on behalf of Enterprise Integration
Inc., an executive consulting firm in the United States.
He has recently led sizeable consulting engagements
at the United States Army's financial domain, the United
States Air Force's logistics domain, the United States
Army's Judge Advocate General's Corps. Prior to that,
Al served as director of projects at the American Diabetes
Association, a non-governmental health organization
in the U.S. He received his Doctorate in Organizational
Informatics from George Mason University in Fairfax,
Virginia, and his Master's degree in International
Transactions, also from George Mason University. Al
completed his graduate field study in Economics, Trade,
Technology and Finance at St Peter's College, Oxford
University.
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Presentation
Architecture-Driven Standard Software Solution Selection
Methodology
The methodology proffered in this presentation defines a
streamlined approach for using enterprise architectures to
support Standard Software solution selection. Unlike traditional
system requirements development, an architecture-driven approach
for solution selection is intended to have enduring value
by creating a framework for implementation and by delivering
a range of artifacts that will have utility throughout the
build, deployment, sustainment and reflexive analysis phases
of the project. This presentation outlines four distinct
cycles in the evolution of the architecture for solution
selection – the
As-Is state, the Target state, the Gap-Fit analysis state
and the To-Be state. The unique value of the methodology
described in this presentation resides in its presentation
of a practical and expedient approach to developing each
architecture state, managing the architecture’s natural
evolution and extracting the resources necessary to enable
selection of the optimal solution and propel implementation.
return
to program
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