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Smart Data: Enterprise Performance Optimization Strategy

Book Description

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.

Table of Contents

  1. Cover Page
  2. Title Page
  3. Copyright
  4. Dedication
  5. Contents
  6. Foreword
  7. Preface
    1. DIFFERENT VIEWPOINTS: EXECUTIVE AND INFORMATION TECHNOLOGIST
    2. RECENT EXPERIENCES AND USING THIS BOOK
    3. WHO NEEDS THIS BOOK?
  8. Acknowledgments
  9. Introduction: A Comprehensive Overview
    1. PREDICTIVE MANAGEMENT
    2. IDEF LEXICON FOR EXECUTIVES
    3. ORGANIZATION OF THIS BOOK
    4. SMART DATA IN THREE DIMENSIONS
    5. BUSINESS RULE
    6. CASE STUDY: IT CAPITAL BUDGETING USING A KNAPSACK PROBLEM
    7. CASE STUDY: BETTER DECISION MAKING: FIELD TESTING, EVALUATION AND VALIDATION OF A WEB-BASED MEDWATCH DECISION SUPPORT SYSTEM (MWDSS) [ 10 ]
    8. ENGINEERING AN UBIQUITOUS STRATEGY FOR CATALYZING ENTERPRISE PERFORMANCE OPTIMIZATION
    9. WHAT SMART DATA PROVIDES
    10. REFERENCES
  10. Chapter 1: Context: The Case and Place for Smart Data Strategy
    1. 1.1 VALUE OF DATA TO THE ENTERPRISE
    2. 1.2 ENTERPRISE PERFORMANCE VERSUS ENTERPRISE INTEGRATION
    3. 1.3 CURRENT PROBLEMS AND DEFICIENCIES FROM POOR DATA STRATEGY
    4. 1.4 NEW TECHNOLOGIES
    5. 1.5 BREAKING FROM TRADITION WITH IMPROVED RESULTS
    6. REFERENCES
  11. Chapter 2: Elements: Smart Data and Smart Data Strategy
    1. 2.1 PERFORMANCE OUTCOMES AND ATTRIBUTES
    2. 2.2 POLICY AND BUSINESS RULES
    3. 2.3 EXPECTATIONS: MANAGERIAL AND TECHNICAL
    4. 2.4 CAPACITY FOR CHANGE AND IMPROVEMENT
    5. 2.5 ITERATION VERSUS BIG BANG
    6. REFERENCES
  12. Chapter 3: Barriers: Overcoming Hurdles and Reaching a New Performance Trajectory
    1. 3.1 BARRIERS
    2. 3.2 OVERCOMING BARRIERS
    3. 3.3 TOP–DOWN STRATEGY
    4. 3.4 BALANCE OF CONSEQUENCES AND REINFORCEMENT
    5. 3.5 COLLABORATION
    6. 3.6 ENTERPRISE PERFORMANCE OPTIMIZATION PROCESS
    7. 3.7 ENTERPRISE PERFORMANCE OPTIMIZATION ARCHITECTURE
    8. 3.8 SCOPING, SCHEDULING, BUDGETING, AND PROJECT AND PROGRAM MANAGEMENT
    9. REFERENCES
  13. Chapter 4: Visionary Ideas: Technical Enablement
    1. 4.1 TODAY'S POSSIBILITIES
    2. 4.2 CALIBRATING EXECUTIVE EXPECTATIONS
    3. 4.3 FIVE YEARS FROM NOW
    4. 4.4 TEN YEARS FROM NOW
    5. REFERENCES
  14. Chapter 5: CEO's Smart Data Handbook
    1. 5.1 STRATEGY
    2. 5.2 POLICY
    3. 5.3 ORGANIZATION
    4. 5.4 ACTIONS
    5. 5.5 TIMING
    6. 5.6 FUNDING AND COSTING VARIABLES
    7. 5.7 OUTCOMES AND MEASUREMENTS
    8. REFERENCES
  15. Index