Smart Data: Enterprise Performance Optimization Strategy

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, Evaluation and Validation of a Web-Based MedWatch Decision Support System (MWDSS).

Engineering an Ubiquitous Strategy for Catalyzing Enterprise Performance Optimization.

What Smart Data Provides.

References.

1 Context: The Case and Place for Smart Data Strategy.

1.1 Value of Data to the Enterprise.

1.2 Enterprise Performance Versus Enterprise Integration.

1.3 Current Problems and Deficiencies from Poor Data Strategy.

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 Performance Trajectory.

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 Program Management.

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.