A Professional's Guide to Problem Solving with Decision Science
Language: English
Published by Pioneering Partnerships LLC, 2018
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 28.29
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Drawing on vast experience, the authors show how to apply state-of-the-art decision science, statistical modeling, benchmarking, and process modeling techniques together to create a robust analytical framework for better decision making. They integrate both new and time-tested techniques into a logical structured approach for assessing issues, developing solutions and making decisions that drive the successful achievement of business goals.This book integrates new and existing methods to provide a comprehensive and holistic approach for assessing company performance and identifying areas for corporate improvement efforts. The goal is to get people to think of the big picture, understand the tools and techniques and put together the conceptual and analytical pieces to solve corporate-wide problems. The difficulty is to know when and where you should use these concepts. This book focuses on structured analysis processes that you can use to quantify, explore, and solve problems from a cross-functional perspective.Coverage includes defining objectives; exploring the environment; scoping and prioritizing problems; applying data mining and statistical analysis; selecting the appropriate methods and tools; executing solutions; measuring and evaluating results; and more. Case study chapters walk through the effective use of the authors framework in diverse corporate environments and demonstrate its exceptional adaptability.…
Seller Inventory # 9780999767115
- Title
- A Professional's Guide to Problem Solving with Decision Science
- Author
- Deandra T Cassone
- Publisher
- Pioneering Partnerships LLC
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0999767119
- ISBN 13
- 9780999767115
- Edition
- 2nd Edition
- Item weight
- 435 grams
- Dimensions
- 229x152x17 mm
Drawing on vast experience, the authors show how to apply state-of-the-art decision science, statistical modeling, benchmarking, and process modeling techniques together to create a robust analytical framework for better decision making. They integrate both new and time-tested techniques into a logical structured approach for assessing issues, developing solutions and making decisions that drive the successful achievement of business goals.
This book integrates new and existing methods to provide a comprehensive and holistic approach for assessing company performance and identifying areas for corporate improvement efforts. The goal is to get people to think of the big picture, understand the tools and techniques and put together the conceptual and analytical pieces to solve corporate-wide problems. The difficulty is to know when and where you should use these concepts. This book focuses on structured analysis processes that you can use to quantify, explore, and solve problems from a cross-functional perspective.
Coverage includes defining objectives; exploring the environment; scoping and prioritizing problems; applying data mining and statistical analysis; selecting the appropriate methods and tools; executing solutions; measuring and evaluating results; and more. Case study chapters walk through the effective use of the authors' framework in diverse corporate environments and demonstrate its exceptional adaptability.
"Synopsis" may belong to another edition of this title.
About the Author
Deandra T. Cassone is currently the Director of Research Activities at the University of Missouri. She has spent more than 30 years in industry consulting and management roles in Fortune 100 companies and has taught numerous graduate engineering courses. Her interest include building structured decision-making models and she has been awarded numerous business process patents.
"About the title" may belong to another edition of this title.
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