Search results for: decision-management

Quality Decision Management The Heart of Effective Futures Oriented Management

Author : E.G. Frankel
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Over the years I have worked with or consulted for many managers throughout the world at all levels of industry and government. I have seen who succeeded, achieved goals, and made progress, and who failed or crashed. I have studied their methods of operation and their decision-making approach, as well as the range of people involved in the decision-making. I similarly personally managed large industrial and service organizations and their operations, and found that to succeed and have a content team of collaborators, decision-making had to be joint and delegated to the lowest competent and informed level. Using this approach not only improved the performance of the organization or firm, but also resulted in a more content, professional, cooperative, happy, and competent workforce. In general, people like to assume responsibility, particularly of functions with which they are intimately familiar. They enjoy the role of de- sion-maker and the use of their knowledge and experience in guiding their and related work. Delegation of decision-making not only infuses pride and conte- ment but also assures more informed, timely, and effective implementation of de- sions. It also adds to worker training and education as workers inquire, develop information and use of their own experience in improving their decision-making. Worker pride and feeling of control and involvement lead to contentment and s- isfaction which, in return, pays dividends in worker productivity, morale, retention, and resulting low turnover.

Decision Management

Author : J. Frank Yates
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Why do the people in some companies continually dazzle us with their brilliant decisions while those in others make one blunder after another? Do they understand their businesses better? Are they just plain smarter? Or is it all a matter of luck? The answer, says J. Frank Yates, is none of the above. The real key, rarely recognized, is how the leaders manage the company's decision processes—the leaders' decision management practices. Drawing on his thirty years of research and experience as well as scholarship from psychology, economics, statistics, strategy, medicine, and other fields to explain the fundamental nature of business decision problems, Yates highlights the ten cardinal decision issues crucial to managing the decision-making process—and ultimately better company decisions. He covers problems ranging from recognizing whether a decision is actually called for to assuring that a preferred course of action will be implemented. He shows how solid decisions result when managers ensure that deciders resolve every cardinal issue effectively for every decision problem facing the company. He also reveals how, conversely, chronically poor decisions are traceable to managers allowing—or even creating—conditions that encourage deciders to fall short in how they address at least one of those critical issues.

CIMA Exam Practice Kit Management Accounting Decision Management

Author : Simon Dawkins
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CIMA Exam Practice Kits consolidate learning by providing an extensive bank of practice questions. Each solution provides an in depth analysis of the correct answer and highlights why the alternatives are incorrect. CIMA Exam Practice Kits are ideal for students studying independently or attending a tutored revision course. It supplements the Official CIMA Learning Systems and CIMA Revision Cards with a wealth of additional questions and material focused purely on applying what has been learnt to passing the exam. CIMA Exam Practice Kits help students prepare with confidence for exam day, and to pass the new syllabus first time. * Helps CIMA students to prepare and pass the new syllabus first time * Practice applying and displaying knowledge so CIMA examiners can award you marks * Provides worked answers to fully explain the correct answer, and analysis of incorrect answers - helping CIMA students avoid common pitfalls

Decision Management Systems

Author : James Taylor
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"A very rich book sprinkled with real-life examples as well as battle-tested advice.” —Pierre Haren, VP ILOG, IBM "James does a thorough job of explaining Decision Management Systems as enablers of a formidable business transformation.” —Deepak Advani, Vice President, Business Analytics Products and SPSS, IBM Build Systems That Work Actively to Help You Maximize Growth and Profits Most companies rely on operational systems that are largely passive. But what if you could make your systems active participants in optimizing your business? What if your systems could act intelligently on their own? Learn, not just report? Empower users to take action instead of simply escalating their problems? Evolve without massive IT investments? Decision Management Systems can do all that and more. In this book, the field’s leading expert demonstrates how to use them to drive unprecedented levels of business value. James Taylor shows how to integrate operational and analytic technologies to create systems that are more agile, more analytic, and more adaptive. Through actual case studies, you’ll learn how to combine technologies such as predictive analytics, optimization, and business rules—improving customer service, reducing fraud, managing risk, increasing agility, and driving growth. Both a practical how-to guide and a framework for planning, Decision Management Systems focuses on mainstream business challenges. Coverage includes Understanding how Decision Management Systems can transform your business Planning your systems “with the decision in mind” Identifying, modeling, and prioritizing the decisions you need to optimize Designing and implementing robust decision services Monitoring your ongoing decision-making and learning how to improve it Proven enablers of effective Decision Management Systems: people, process, and technology Identifying and overcoming obstacles that can derail your Decision Management Systems initiative

Making Better Decisions Using IBM WebSphere Operational Decision Management

Author : Duncan Clark
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Decision management is emerging as an important capability for delivering agile business solutions. Decision management is not a solution in its own right, but must be integrated into the solutions or business processes that it supports. In this IBM® RedpapersTM publication, we describe the recommended best practices and integration concepts that use the business events, business rules, and other capabilities of IBM WebSphere® Operational Decision Management V7.5 (WebSphere ODM) to provide better decision making in those solutions and business processes.

Flexible Decision Management with Business Rules on IBM z Systems

Author : Mark Hiscock
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The IBM® Operational Decision Manager product family provides value to organizations that want to improve the responsiveness and precision of automated decisions. This decision management platform on IBM z/OS® provides comprehensive automation and governance of operational decisions that are made within mainframe applications. These decisions can be shared with other cross-platform applications, providing true enterprise decision management. This IBM Redbooks® publication makes the case for using Operational Decision Manager for z/OS and provides an overview of its components. It is aimed at IT architects, enterprise architects, and development managers looking to build rule-based solutions. Step-by-step guidance is provided about getting started with business rules by using a scenario-based approach. This book provides detailed guidelines for testing and simulation and describes advanced options for decision authoring. Finally, it describes and documents multiple runtime configuration options. This third edition, SG24-8014-02, of this IBM Redbooks publication updated the information presented in this book to reflect function available in IBM Operational Decision Manager for z/OS Version 8.7.1.

Research Anthology on Decision Support Systems and Decision Management in Healthcare Business and Engineering

Author : Management Association, Information Resources
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Decision support systems (DSS) are widely touted for their effectiveness in aiding decision making, particularly across a wide and diverse range of industries including healthcare, business, and engineering applications. The concepts, principles, and theories of enhanced decision making are essential points of research as well as the exact methods, tools, and technologies being implemented in these industries. From both a standpoint of DSS interfaces, namely the design and development of these technologies, along with the implementations, including experiences and utilization of these tools, one can get a better sense of how exactly DSS has changed the face of decision making and management in multi-industry applications. Furthermore, the evaluation of the impact of these technologies is essential in moving forward in the future. The Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering explores how decision support systems have been developed and implemented across diverse industries through perspectives on the technology, the utilizations of these tools, and from a decision management standpoint. The chapters will cover not only the interfaces, implementations, and functionality of these tools, but also the overall impacts they have had on the specific industries mentioned. This book also evaluates the effectiveness along with benefits and challenges of using DSS as well as the outlook for the future. This book is ideal for decision makers, IT consultants and specialists, software developers, design professionals, academicians, policymakers, researchers, professionals, and students interested in how DSS is being used in different industries.

Decision Management Concepts Methodologies Tools and Applications

Author : Management Association, Information Resources
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The implementation of effective decision making protocols is crucial in any organizational environment in modern society. Emerging advancements in technology and analytics have optimized uses and applications of decision making systems. Decision Management: Concepts, Methodologies, Tools, and Applications is a compendium of the latest academic material on the control, support, usage, and strategies for implementing efficient decision making systems across a variety of industries and fields. Featuring comprehensive coverage on numerous perspectives, such as data visualization, pattern analysis, and predictive analytics, this multi-volume book is an essential reference source for researchers, academics, professionals, managers, students, and practitioners interested in the maintenance and optimization of decision management processes.

IBM Operational Decision Management V8 0 Performance Tuning Guide

Author : David Granshaw
File Size : 33.32 MB
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IBM® Operational Decision Management (ODM) is a family of products used by IT and business users to create and manage business decision logic throughout their organization. This IBM RedpaperTM publication offers advice on all aspects of performance, including hardware, architecture, authoring, quality of service, monitoring, and tuning. The advice is based upon preferred practices and experience gained from real customer situations. This paper is aimed at a wide ODM audience, including IBM employees and customers, and provides useful information to both new and experienced users. Although the product family is known as IBM WebSphere® Operational Decision Management (WODM), at V8.0, with V8.0.1 the the name is now simply IBM Operational Decision Manager (ODM). The performance information in this paper is based on V8.0 of this product family and differences introduced with V8.0.1 are pointed out.

Management Accounting Decision Management

Author : Jo Avis
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HELPING YOU TO PREPARE WITH CONFIDENCE, AVOID PITFALLS AND PASS FIRST TIME Supplementing the Official CIMA Learning Systems and Revision Cards the CIMA Exam Practice Kits consolidate learning by providing an extensive bank of practice questions. Each solution provides an in depth analysis of the correct answer, it is ideal for independent study or tutored revision course, helping you prepare with confidence and pass first time. The CIMA Exam Practice Kit includes: . Exam level questions with type and weighting to match the format of the exam . Fully worked model answers . Access to CIMA Official Q&As from May and November 2007 . Summaries of key theory . Designed to follow the structure of the Official Learning Systems and CIMA's Learning Outcomes OFFICIALLY ENDORSED BY CIMA AND WRITTEN BY LEADING CIMA TUTORS, THE EXAM PRACTICE KITS PROVIDE A VALUABLE INSIGHT ON HOW TO SCORE TOP MARKS * Helps CIMA students to prepare and pass the new syllabus first time * Practice applying and displaying knowledge so CIMA examiners can award you marks * Provides worked answers to fully explain the correct answer, and analysis of incorrect answers - helping CIMA students avoid common pitfalls

Mangement Accounting Decision Management

Author : Louise Burke
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CIMA Revision Cards are the only materials written and endorsed by CIMA. They provide succinct but complete coverage of all the major points of the CIMA 2005 syllabus. The pocket-sized, spiral-bound format enables them to be carried around easily, making them invaluable resources wherever you are. Diagrams and bulleted lists are used throughout to display the key points as clearly and concisely as possible. This simplifies the syllabus and makes the points easy to learn and remember. CIMA Revision Cards provide: * Exam tips and hints * A summary of all the key topics of the new syllabus * Visual aids to consolidate learning * Exam focused, pocket sized revision guides summarising the key topics of the CIMA syllabus * Fully updated to reflect changes in the syllabus * Diagrams and tables throughout reinforce key concepts and aid memory retention and recall * Easily portable size

Grid Technology for Maximizing Collaborative Decision Management and Support Advancing Effective Virtual Organizations

Author : Bessis, Nik
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"This book presents research on building network of excellence by effectively and efficiently managing ICT-related resources using Grid technology"--Provided by publisher.

Collaborative Decision Making

Author : Pascale Zaraté
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This publication presents the latest innovations and achievements of academic communities on Decision Support Systems (DSS). These advances include theory systems, computer-aided methods, algorithms, techniques and applications related to supporting decision making. The aim is to develop approaches for applying information systems technology to increase the effectiveness of decision making in situations where the computer system can support and enhance human judgments in the performance of tasks that have elements which cannot be specified in advance. Also it is intended to improve ways of synthesizing and applying relevant work from resource disciplines to practical implementation of systems that enhance decision support capability.The resource disciplines include: information technology, artificial intelligence, cognitive psychology, decision theory, organizational theory, operations research and modeling. Researchers come from the Operational Research area but also from Decision Theory, Multicriteria Decision Making methodologies, Fuzzy sets and modeling tools. Based on the introduction of Information and Communication Technologies in organizations, the decisional process is evolving from a mono actor to a multi actor situation in which cooperation is a way to make the decision.

Professional Decision Making and Risk in Social Work

Author : Brian Taylor
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This book is written to help social work practitioners and students on CPD courses make professional decisions with clients; from exercising statutory powers and duties to protect children from abuse, to making decisions about risk. This revised second edition has more of a focus on risk within social work practice as many social workers face daily pressure to make sound decisions in very difficult circumstances. In this complex arena of conflicting demands and considerations - from the public, the client, the family, the organisation - the professional needs a robust and yet flexible framework to inform practice decisions. Featuring illustrations from practice as well as case studies and practical activities to aid learning, this book provides a holistic view of decision making and risk as a core aspect of effective social work practice.

Engineering Decision Making and Risk Management

Author : Jeffrey W. Herrmann
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This book details decision analysis techniques with applications in engineering design and management and also analyzes decision making and risk management processes to better understand and improve decision making systems. Most books on decision analysis fall into two categories: those that are straightforward management decision making texts that that do not delve into more sophisticated techniques and concepts and those that emphasize the theoretical and analytical aspects, but do not discuss other perspectives on decision making. As such, this is the first book to present multiple perspectives on decision making without being too theoretical, all in effort to be useful to current and future engineers. The book presents three varied perspectives on decision making: problem-solving; the decision making process; and decision making systems. Practical examples and applications are plentiful and illustrate how to model and improve decision making systems. The mathematical rigor is kept to a minimum and is only used when comparing and contrasting different techniques. Extensive instructor resources are available, including worked solutions to all exercises, daily lesson plans for lectures, in-class activities, and sample assignments and exams. Topical coverage includes: an introduction to engineering decision making; decision making fundamentals; multi-criteria decision making; group decision making; decision making under uncertainty; game theory; decision making processes; the value of information; risk management; decision making systems; and modeling and improving decision making systems.

Structured Decision Making

Author : Robin Gregory
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"This book is about the creative and messy process of making environmental management decisions. The approach we describe is called Structured Decision Making, a distinctly pragmatic label given to ways for helping individuals and groups think through tough multidimensional choices characterized by uncertain science, diverse stakeholders, and difficult tradeoffs. This is the everyday reality of environmental management, yet many important decisions currently are made on an ad hoc basis that lacks a solid value-based foundation, ignores key information, and results in selection of an inferior alternative. Making progress--in a way that is rigorous, inclusive, defensible, and transparent--requires combining analytical methods drawn from the decision sciences and applied ecology with deliberative insights from cognitive psychology, facilitation, and negotiation. We review key methods and discuss case-study examples based in our experiences in communities, boardrooms, and stakeholder meetings. Our goal is to lay out a compelling guide that will change how you think about making environmental decisions"--

Decision Making Systems in Business Administration

Author : Ana María Gil Lafuente
File Size : 33.98 MB
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This book analyzes some of the most recent advances in the field of decision making and fuzzy systems applied to business and economics presented at the International Conference on Modeling and Simulation (MS'12 Rio de Janeiro), 10 13 December, 2012. In this conference, a special focus is given to the fundamental concept of sustainable development. Other key applications in business, economics and finance are also considered. In general, it is very useful for graduate students and researchers interested in pursuing research that combines quantitative techniques such as modeling and simulation and decision making with business and economic problems. This is especially useful when dealing with complex environments where the information is very uncertain and additional mathematical and statistical techniques are needed in order to understand the specific situations considered.

Systems of Insight for Digital Transformation Using IBM Operational Decision Manager Advanced and Predictive Analytics

Author : Whei-Jen Chen
File Size : 48.6 MB
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Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and operational behavior that needs to be reported or have action taken to optimize business outcomes. Systems of insight are at the core of the Digital Experience, which tries to derive insights from the enormous amount of data generated by automated processes and customer interactions. Systems of Insight can also provide the ability to apply analytics and rules to real-time data as it flows within, throughout, and beyond the enterprise (applications, databases, mobile, social, Internet of Things) to gain the wanted insight. Deriving this insight is a key step toward being able to make the best decisions and take the most appropriate actions. Examples of such actions are to improve the number of satisfied clients, identify clients at risk of leaving and incentivize them to stay loyal, identify patterns of risk or fraudulent behavior and take action to minimize it as early as possible, and detect patterns of behavior in operational systems and transportation that lead to failures, delays, and maintenance and take early action to minimize risks and costs. IBM® Operational Decision Manager is a decision management platform that provides capabilities that support both event-driven insight patterns, and business-rule-driven scenarios. It also can easily be used in combination with other IBM Analytics solutions, as the detailed examples will show. IBM Operational Decision Manager Advanced, along with complementary IBM software offerings that also provide capability for systems of insight, provides a way to deliver the greatest value to your customers and your business. IBM Operational Decision Manager Advanced brings together data from different sources to recognize meaningful trends and patterns. It empowers business users to define, manage, and automate repeatable operational decisions. As a result, organizations can create and shape customer-centric business moments. This IBM Redbooks® publication explains the key concepts of systems of insight and how to implement a system of insight solution with examples. It is intended for IT architects and professionals who are responsible for implementing a systems of insights solution requiring event-based context pattern detection and deterministic decision services to enhance other analytics solution components with IBM Operational Decision Manager Advanced.

Decision Making in Natural Resource Management

Author : Michael J. Conroy
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This book is intended for use by natural resource managers andscientists, and students in the fields of natural resourcemanagement, ecology, and conservation biology, who are confrontedwith complex and difficult decision making problems. The book takesreaders through the process of developing a structured approach todecision making, by firstly deconstructing decisions into componentparts, which are each fully analyzed and then reassembled to form aworking decision model. The book integrates common-senseideas about problem definitions, such as the need for decisions tobe driven by explicit objectives, with sophisticated approaches formodeling decision influence and incorporating feedback frommonitoring programs into decision making via adaptive management.Numerous worked examples are provided for illustration, along withdetailed case studies illustrating the authors’ experience inapplying structured approaches. There is also a series of detailedtechnical appendices. An accompanying website providescomputer code and data used in the worked examples. Additional resources for this book can be foundat: ahref=""

Final Report Risk assessment and risk management in regulatory decision making

Author : United States. Presidential/Congressional Commission on Risk Assessment and Risk Management
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