The authors advocate attention to smart data strategy as an organizing element of enterprise performance optimization. They believe that smart data as a corporate priority could revolutionize government or commercial enterprise performance much like six sigma or total quality as organizing paradigms have done in the past. This revolution has not yet taken place because data historically resides in the province of the information resources organization. Solutions that render data smart are articulated in technoid terms versus the language of the board room. While books such as Adaptive Information by Pollock and Hodgson ably describe the current state of the art, their necessarily technical tone is not conducive to corporate or agency wide qualitative change.

The authors advocate attention to smart data strategy as anorganizing element of enterprise performance optimization.They believe that "smart data" as a corporate prioritycould revolutionize government or commercial enterprise performancemuch like "six sigma" or "total quality" asorganizing paradigms have done in the past. This revolutionhas not yet taken place because data historically resides in theprovince of the information resources organization. Solutionsthat render data smart are articulated in "technoid"terms versus the language of the board room. While books suchas Adaptive Information by Pollock and Hodgson ably describethe current state of the art, their necessarily technical tone isnot conducive to corporate or agency wide qualitative change.

Foreword.Preface.Acknowledgments.Introduction: A Comprehensive Overview.Predictive Management.IDEF Lexicon for Executives.Organization of This Book.Smart Data in Three Dimensions.Business Rule.Case Study: IT Capital Budgeting Using a Knapsack Problem.Case Study: Better Decision Making: Field Testing, Evaluationand Validation of a Web-Based MedWatch Decision Support System(MWDSS).Engineering an Ubiquitous Strategy for Catalyzing EnterprisePerformance Optimization.What Smart Data Provides.References.1 Context: The Case and Place for Smart DataStrategy.1.1 Value of Data to the Enterprise.1.2 Enterprise Performance Versus Enterprise Integration.1.3 Current Problems and Deficiencies from Poor DataStrategy.1.4 New Technologies.1.5 Breaking from Tradition with Improved Results.References.2 Elements: Smart Data and Smart Data Strategy.2.1 Performance Outcomes and Attributes.2.2 Policy and Business Rules.2.3 Expectations: Managerial and Technical.2.4 Capacity for Change and Improvement.2.5 Iteration Versus Big Bang.References.3 Barriers: Overcoming Hurdles and Reaching a New PerformanceTrajectory.3.1 Barriers.3.2 Overcoming Barriers.3.3 Top-Down Strategy.3.4 Balance of Consequences and Reinforcement.3.5 Collaboration.3.6 Enterprise Performance Optimization Process.3.7 Enterprise Performance Optimization Architecture.3.8 Scoping, Scheduling, Budgeting, and Project and ProgramManagement.References.4 Visionary Ideas: Technical Enablement.4.1 Today's Possibilities.4.2 Calibrating Executive Expectations.4.3 Five Years from Now.4.4 Ten Years From Now.References.5. CEO's Smart Data Handbook.5.1 Strategy.5.2 Policy.5.3 Organization.5.4 Actions.5.5 Timing.5.6 Funding and Costing Variables.5.7 Outcomes and Measurements.References.Index.Wiley Series in Systems Engineering and Management.