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More About This Textbook
Overview
"Smart data" is the combination of interoperable characteristics in a system of data exchange that is agreed upon by the user community. It enhances and optimizes enterprise performance, enables more timely and responsive decision-making, and lowers IT costs. Smart Data provides a practical framework for this essential strategy, equipping the reader with the necessary tools to maximize the wealth of information in their corporate databases. James George and James Rodger persuasively address the problem of "data whose life cycle often outlasts the information technology (IT) paradigm under which it was created," paving the way for IT to once again propel an organization's advancement. The authors:
Make smart data strategy explicit and understandable, closing the knowledge gap between enterprise executives and enabling technologists
Identify the elements essential to optimizing performance, explain how to overcome the barriers, and present visionary ideas to aid in implementation
Provide a detailed plan that includes roles, responsibilities, and accountability
Employ two types of case studies-scientific/academic and anecdotal/programs-to support and illustrate the authors' ideas
Engineer high-impact results through collaboration between executives, operations management, and technologists
Help government enterprise executives to improve their ability to achieve faster results
Show commercial enterprise participants how to maximize their demonstrated value to government enterprise as members of the supply chain of prime contractors, subcontractors, and suppliers
Government executives, such as CIOs and managers of major information systems, will find tremendous value in Smart Data, as will their counterparts in the commercial sector. CEOs, CTOs, and other senior executives interested in maximizing the value of information in their corporate databases can also benefit from this work. In addition, MBA students as well as project management and IT students will appreciate discovering the unique performance improvement advantages that the adoption of a smart data strategy provides.
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Meet the Author
JAMES A. GEORGE is a performance improvement consultant to the federal government and commercial customers. He is presently Director at SAM, Inc., Rockville, Maryland.
JAMES A. RODGER, PhD, is a professor in the MIS/Decision Sciences Department of the Eberly College of Business and Information Technology at the Indiana University of Pennsylvania. He has done consulting work for the Department of Defense, among many other federal agencies.
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Table of Contents
Foreword xi
Preface xiii
Acknowledgments xxi
Introduction: A Comprehensive Overview 1
Predictive Management 8
IDEF Lexicon for Executives 10
Organization of This Book 12
Smart Data in Three Dimensions 14
Business Rule 16
Case Study: IT Capital Budgeting Using a Knapsack Problem 17
Case Study: Better Decision Making: Field Testing, Evaluation and Validation of a Web-Based MedWatch Decision Support System (MWDSS) 19
Engineering an Ubiquitous Strategy for Catalyzing Enterprise Performance Optimization 21
What Smart Data Provides 24
References 24
1 Context: The Case and Place for Smart Data Strategy 27
1.1 Value of Data to the Enterprise 27
1.2 Enterprise Performance Versus Enterprise Integration 46
1.3 Current Problems and Deficiencies from Poor Data Strategy 54
1.4 New Technologies 62
1.5 Breaking from Tradition with Improved Results 78
References 83
2 Elements: Smart Data and Smart Data Strategy 85
2.1 Performance Outcomes and Attributes 85
2.2 Policy and Business Rules 90
2.3 Expectations: Managerial and Technical 92
2.4 Capacity for Change and Improvement 93
2.5 Iteration Versus Big Bang 94
References 128
3 Barriers: Overcoming Hurdles and Reaching a New Performance Trajectory 129
3.1 Barriers 129
3.2 Overcoming Barriers 130
3.3 Top-Down Strategy 151
3.4 Balance of Consequences and Reinforcement 173
3.5 Collaboration 173
3.6 Enterprise Performance Optimization Process 174
3.7 Enterprise Performance Optimization Architecture 175
3.8 Scoping, Scheduling, Budgeting, and Project and Program Management 187
References 189
4 Visionary Ideas: Technical Enablement 191
4.1 Today's Possibilities 191
4.2 Calibrating Executive Expectations 236
4.3 Five Years from Now 242
4.4 Ten Years From Now 277
References 277
5 CEO's Smart Data Handbook 279
5.1 Strategy 279
5.2 Policy 314
5.3 Organization 316
5.4 Actions 316
5.5 Timing 320
5.6 Funding and Costing Variables 320
5.7 Outcomes and Measurements 320
References 320
Index 323
Wiley Series in Systems Engineering and Management 329