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Aligning Business Process Management - Service-Oriented Architecture and Lean Six Sigma for Business Results.pdf

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Aligning Business Process Management - Service-Oriented Architecture and Lean Six Sigma for Business Results.pdf

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Aligning Business Process Management - Service-Oriented Architecture and Lean Six Sigma for Business Results.pdf

文档介绍

文档介绍:Front cover
Aligning Business Process Management, Service-Oriented Architecture, and
Lean Six Sigma for Real Business Results
Redguides for Business Leaders
Hans Skalle
Seshadri Ramachandran
Marc Schuster
Vincent Szaloky
Samuel Antoun
Realize the value of business
process management
Understand how SOA enables BPM
and Lean Six Sigma
Learn about the think big,
start now steps
Executive overview
Lean Six Sigma (LSS) produces real results in difficult economic times by uncovering process
waste, reducing non-value adding activity, and increasing productivity. The benefits are even
felt in IT. According to the consulting firm McKinsey & Company, “companies can reduce
application development and maintenance costs by up to 40%.” That application development
productivity can be improved “by up to 50%” by applying LSS techniques, freeing budget for
needed
Business process management (BPM) and service-oriented architectures (SOAs) combine
with LSS to accelerate improvements and results. At the same time, they increase
organizational flexibility and technology enabled responsiveness.
Many panies have found that the linkages are clear. Early adopters who have
worked their way past cultural anizational barriers are seeing impressive performance
and financial results:
 Improved responsiveness to market challenges and changes through aligned and
significantly more flexible business and technical architectures
 Improved ability to innovate and achieve strategic differentiation by driving change into the
market and tuning processes to meet the specific needs of key market segments
 Reduced process costs through automation and an improved ability to monitor, detect,
and respond to problems by using real-time data, automated alerts, and planned
escalation
 Significantly lower technical implementation costs through shared process models and
higher levels ponent reuse
 Lower analy

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