Smart Data: Enterprise Performance Optimization Strategy / Edition 1

by James A. George, James A. Rodger

Overview

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.

Product Details

ISBN-13:	9780470473252
Publisher:	Wiley
Publication date:	03/15/2010
Series:	Wiley Series in Systems Engineering and Management , #71
Pages:	352
Product dimensions:	6.30(w) x 9.30(h) x 0.90(d)

About the Author

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.

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Table of Contents

Foreword xi

Preface xiii

Acknowledgments xxi

Introduction: A Comprehensive Overview 1

Predictive Management 8

IDEF Lexicon for Executives 10

Organization of This Book 12

Smart Data in Three Dimensions 14

Business Rule 16

Case Study: IT Capital Budgeting Using a Knapsack Problem 17

Case Study: Better Decision Making: Field Testing, Evaluation and Validation of a Web-Based MedWatch Decision Support System (MWDSS) 19

Engineering an Ubiquitous Strategy for Catalyzing Enterprise Performance Optimization 21

What Smart Data Provides 24

References 24

1 Context: The Case and Place for Smart Data Strategy 27

1.1 Value of Data to the Enterprise 27

1.2 Enterprise Performance Versus Enterprise Integration 46

1.3 Current Problems and Deficiencies from Poor Data Strategy 54

1.4 New Technologies 62

1.5 Breaking from Tradition with Improved Results 78

References 83

2 Elements: Smart Data and Smart Data Strategy 85

2.1 Performance Outcomes and Attributes 85

2.2 Policy and Business Rules 90

2.3 Expectations: Managerial and Technical 92

2.4 Capacity for Change and Improvement 93

2.5 Iteration Versus Big Bang 94

References 128

3 Barriers: Overcoming Hurdles and Reaching a New Performance Trajectory 129

3.1 Barriers 129

3.2 Overcoming Barriers 130

3.3 Top-Down Strategy 151

3.4 Balance of Consequences and Reinforcement 173

3.5 Collaboration 173

3.6 Enterprise Performance Optimization Process 174

3.7 Enterprise Performance Optimization Architecture 175

3.8 Scoping, Scheduling, Budgeting, and Project and Program Management 187

References 189

4 Visionary Ideas: Technical Enablement 191

4.1 Today's Possibilities 191

4.2 Calibrating Executive Expectations 236

4.3 Five Years from Now 242

4.4 Ten Years From Now 277

References 277

5 CEO's Smart Data Handbook 279

5.1 Strategy 279

5.2 Policy 314

5.3 Organization 316

5.4 Actions 316

5.5 Timing 320

5.6 Funding and Costing Variables 320

5.7 Outcomes and Measurements 320

References 320

Index 323

Wiley Series in Systems Engineering and Management 329