Smart Data Enterprise Performance Optimization Strategy

by George, James A.; Rodger, James A.

• ISBN13: 9780470473252
• ISBN10: 0470473258
• eBook ISBN(s): 9780470583043
• Edition: 1st
• Format: Hardcover
• Copyright: 2010-03-15
• Publisher: Wiley

Summary

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.

Author Biography

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.

Table of Contents

Foreword	p. xi
Preface	p. xiii
Acknowledgments	p. xxi
Introduction: A Comprehensive Overview	p. 1
Predictive Management	p. 8
IDEF Lexicon for Executives	p. 10
Organization of This Book	p. 12
Smart Data in Three Dimensions	p. 14
Business Rule	p. 16
Case Study: IT Capital Budgeting Using a Knapsack Problem	p. 17
Case Study: Better Decision Making: Field Testing, Evaluation and Validation of a Web-Based MedWatch Decision Support System (MWDSS)	p. 19
Engineering an Ubiquitous Strategy for Catalyzing Enterprise Performance Optimization	p. 21
What Smart Data Provides	p. 24
References	p. 24
Context: The Case and Place for Smart Data Strategy	p. 27
Value of Data to the Enterprise	p. 27
Enterprise Performance Versus Enterprise Integration	p. 46
Current Problems and Deficiencies from Poor Data Strategy	p. 54
New Technologies	p. 62
Breaking from Tradition with Improved Results	p. 78
References	p. 83
Elements: Smart Data and Smart Data Strategy	p. 85
Performance Outcomes and Attributes	p. 85
Policy and Business Rules	p. 90
Expectations: Managerial and Technical	p. 92
Capacity for Change and Improvement	p. 93
Iteration Versus Big Bang	p. 94
References	p. 128
Barriers: Overcoming Hurdles and Reaching a New Performance Trajectory	p. 129
Barriers	p. 129
Overcoming Barriers	p. 130
Top-Down Strategy	p. 151
Balance of Consequences and Reinforcement	p. 173
Collaboration	p. 173
Enterprise Performance Optimization Process	p. 174
Enterprise Performance Optimization Architecture	p. 175
Scoping, Scheduling, Budgeting, and Project and Program Management	p. 187
References	p. 189
Visionary Ideas: Technical Enablement	p. 191
Today's Possibilities	p. 191
Calibrating Executive Expectations	p. 236
Five Years from Now	p. 242
Ten Years From Now	p. 277
References	p. 277
CEO's Smart Data Handbook	p. 279
Strategy	p. 279
Policy	p. 314
Organization	p. 316
Actions	p. 316
Timing	p. 320
Funding and Costing Variables	p. 320
Outcomes and Measurements	p. 320
References	p. 320
Index	p. 323
Wiley Series in Systems Engineering and Management	p. 329
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