Title:

Business Process Management Applied: Creating the Value Managed Enterprise

Author(s):

Charles C. Poirier and Ian Walker

Pages:

264 pages

Publisher:

J. Ross Publishing, Inc. (July 15, 2005)

Abstract:

Acquire the roadmap for achieving success that relates specific process improvements to bottom-line profit growth. Business Process Management Applied: Creating the Value Managed Enterprise illustrates how process improvement can add value for firms of any size in any industry and the method for tracking those savings to financial statements, using a proven maturity model and a SCOR model. It features a guiding framework and a presentation of the underlying architecture, including the basic elements of optimizing the extended enterprise, applying business process management (BPM) tools and techniques, and bringing increased value to all constituents of the networked enterprise, especially the end consumer.

Business Process Management Applied is the only text that easily relates supply chain and BPM thinking into layman's terms. Businesses around the world are discovering the improvements possible through a focus on the key process steps contained in an end-to-end supply chain, generating five to eight points of new profit to the bottom line by creating a truly linked and optimized intelligent business network that delivers greater value to the organization.

Key features include:

• Includes a five-level supply chain maturity model that illustrates how ever-increasing levels of collaboration with trusted value chain partners can substantially improve business results
• Covers new technologies that form the backbone of BPM systems that enable continuous reengineering of critical processes in real time, without major IT rework
• Presents a step-by-step roadmap for BPM implementation that ties specific process improvements to specific savings and value creation
• Introduces a dynamic computer-based simulation tool for testing business improvement changes before implementation, along with techniques supported by real examples for optimizing processes and supply chains before encountering risk in possible outcomes.

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