Decision Management Systems

"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

ISBN 0132884380   Pages 320 ISBN13 9780132884389 (What's this?)   Weight (grammes) 424 Publisher Pearson Education (US)   Published in Armonk Imprint IBM Press   Height (mm) 229 Format Paperback   Width (mm) 152 Publication date 30 Sep 2011   Spine width (mm) 18 DEWEY 658.4033   Academic level Tertiary education DEWEY edition DC22

Foreword by Deepak Advani xv Foreword by Pierre Haren xviii Preface xix Acknowledgments xxiii Part I The Case for Decision Management Systems 1 Chapter 1 Decision Management Systems Are Different 3 Agile 4 Analytic 8 Adaptive 15 Chapter 2 Your Business Is Your Systems 19 Changing Expectations 20 Changing Scale 23 Changing Interactions 25 Chapter 3 Decision Management Systems Transform Organizations 29 A Market of One 30 Always On 33 Breaking the Ratios 36 Crushing Fraud 39 Maximizing Assets 41 Maximizing Revenue 44 Making Smart People Smarter 45 Conclusion 46 Chapter 4 Principles of Decision Management Systems 47 Principle #1: Begin with the Decision in Mind 48 Principle #2: Be Transparent and Agile 57 Principle #3: Be Predictive, Not Reactive 60 Principle #4: Test, Learn, and Continuously Improve 63 Summary 67 Part II Building Decision Management Systems 69 Chapter 5 Discover and Model Decisions 71 Characteristics of Suitable Decisions 72 A Decision Taxonomy 81 Finding Decisions 87 Documenting Decisions 99 Prioritizing Decisions 111 Chapter 6 Design and Implement Decision Services 115 Build Decision Services 116 Integrate Decision Services 147 Best Practices for Decision Services Construction 152 Chapter 7 Monitor and Improve Decisions 157 What Is Decision Analysis? 158 Monitor Decisions 159 Determine the Appropriate Response 167 Develop New Decision-Making Approaches 176 Confirm the Impact Is as Expected 184 Deploy the Change 187 Part III Enablers for Decision Management Systems 189 Chapter 8 People Enablers 191 The Three-Legged Stool 191 A Decision Management Center of Excellence 196 Organizational Change 206 Chapter 9 Process Enablers 211 Managing a Decision Inventory 211 Adapting the Software Development Lifecycle 215 Decision Service Integration Patterns 221 A Culture of Experimentation 222 Moving to Fact-Based Decisioning 228 The OODA Loop 232 Chapter 10 Technology Enablers 235 Business Rules Management Systems 235 Predictive Analytics Workbenches 238 Optimization Systems 243 Pre-Configured Decision Management Systems 244 Data Infrastructure 247 A Service-Oriented Platform 255 Epilogue 263 Bibliography 267 Index 273

 Be the first to write a customer review