James A. George, James A. Rodger

Smart Data (eBook, PDF)

Enterprise Performance Optimization Strategy

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 352
• Erscheinungstermin: 5. Mai 2010
• Englisch
• ISBN-13: 9780470583043
• Artikelnr.: 37297256

Autorenporträt

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.

Inhaltsangabe

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. 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. 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.