Smart Data Enterprise Performance Optimization Strategy

Like many other organizing paradigms, smart data strategy is revolutionary and essential to enterprise performance. "Smart Data "explores smart data strategy to enhance enterprise performance. "Smart Data "provides valuable tools in business, like skills for better enterprise decision-making, enterprise performance, and agility towards change. Through an understandable and actionable approach, this helpful resource equips executives with smart data strategy in order to maximize the worth of information in their corporate databases.

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.

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 TopDown 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 Todays Possibilities. 4.2 Calibrating Executive Expectations. 4.3 Five Years from Now. 4.4 Ten Years From Now. 5. CEOs 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.