Smart Data – Enterprise Performance Optimization Strategy

Name: Smart Data – Enterprise Performance Optimization Strategy
Author: James A. (SAM, Inc., Rockville, MD) George

Enterprise Performance Optimization Strategy

Gebonden Engels 2010 9780470473252

169,89

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Samenvatting

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.

Specificaties

ISBN13:9780470473252

Taal:Engels

Bindwijze:gebonden

Aantal pagina's:352

Uitgever:John Wiley & Sons

Hoofdrubriek:Leiderschap, Algemeen management

Serie:Wiley Series in Systems Engineering and Management

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Inhoudsopgave

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, 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.