Workflow Modeling: Tools for Process Improvement and Application Development
- 5h 13m
- Alec Sharp, Patrick McDermott
- Artech House
- 2001
In today's fiercely competitive marketplace, it is of vital importance that work flows through an organization as efficiently as possible in order to achieve long-term success. This new hands-on book teaches business and technical professionals how to build visual models that illustrate the current workflow process, and show where improvement and development can take place.
It provides proven techniques for identifying, modeling, and redesigning business processes, and shows how to make the transition into defining system requirements with Use Case Scenarios. This unique resource brings the two distinct disciplines of management and information technology tegether to help managers and analysts maintain a competitive edge. The book features real-world examples, clear summaries, project checklists, and other aids.
About the Authors
Alec Sharp is the founder and senior consultant of The Damex Consulting Group LTD., in West Vancouver, British Columbia, Canada. He is a founding member and a past president of the British Columbia Data Management Association (DAMA) chapter, and has served as a director of the Vancouver Information Systems Training Association (VISTA).
Patrick McDermott is president of McDermott computer Decisions, Inc., in Oakland, California. He received his B.A. in economics from California State University at Sacramento. He has served as director of the Data Management Association (DAMA).
In this Book
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Workflow Modeling—Tools for Process Improvement and Application Development
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Why We Had to Write This Book
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A Brief History of Process
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The Approach in a Nutshell
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Just What Are Processes, Anyway?
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Establish the Process Boundaries
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Conducting the Initial Assessment
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Considering the Environment
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Workflow Process Modeling
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Managing Detail
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Questions and Difficulties
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Techniques for Modeling the As-Is Process
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Difficulties with As-Is Modeling
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Completing the As-Is Assessment
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Characterizing and Designing the To-Be Process
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Data Modeling
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Use Case Scenario Analysis
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Afterword