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Aligning
IT
Architectures with Business Architectures
Business architectures are poorly aligned with IT architectures. This has
resulted in inefficiency and ineffectiveness in organizational performance.
Aligning disparate business and IT architectures, which are in a state of
constant flux, is a significant challenge. Alignment efforts must be
synchronized using an �outside in / inside out� approach that melds business
unit alignment, business process automation and retooling, user-driven front-end
realignment and back-end architecture modernization. Under this approach,
loosely coupled rapid response teams, synchronized through a set of binding
principles, deliver incremental, ROI driven projects that more the enterprise
towards architecture alignment.
Aligning Existing
Information Architecture with Services Oriented Architecture (SOA)
Imposing services-oriented architecture on a legacy application environment
cannot be achieved simply by wrapping online transactions. Poorly aligned data
structures and applications limit data accessibility and functional flexibility.
Underlying fragmentation, redundancy and batch structures are the antithesis of
SOA. To truly achieve SOA, organizations must develop a phased approach to
redesigning and redeploying data structures and modernizing applications. This
session outlines a phased approach to data migration and application
modularization, including redundancy reconciliation and functional
re-aggregation of legacy systems. This produces a baseline for reusable services
and other migration options.
Above SOA presentation with AUDIO
Extracting Business Rules
from Legacy Systems
"A Discussion
of Existing Systems Knowledge Reclamation�
Entrenched business processes are enabled by entrenched application systems.
As a result, efforts to change or retool business processes can be streamlined
through the factual analysis of the data and rules embedded in these systems.
This session will explain how to capture and analyze business logic to support
system and business process retooling initiatives. The discussion includes data
usage and business logic extraction from existing systems and mapping the
results to top-down, logical designs.
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