Smart Data: Enterprise Performance Optimization Strategy

3.8 SCOPING, SCHEDULING, BUDGETING, AND PROJECT AND PROGRAM MANAGEMENT

Enterprises often embrace iterative and incremental development, a cyclic software development process created in response to the weaknesses of the waterfall model. It starts with an initial planning and ends with deployment with the cyclic interaction in between.

Executive Specification

Executives′ Enterprise Performance Optimization: Concept of Operations and Operational Architecture

CONOPS The viewpoint is that of the executive user. Adopt a smart data strategy as a lead element of optimizing enterprise performance.

Evidence of the smart data strategy will manifest in the following ways:

1. Enterprise strategy and value for data assets.
2. Executive performance questions—routine and unique and an associated continuous process.
3. Management by the numbers—smart data serves executives with actionable data accompanied by best methods and algorithms.
4. Enterprise process models—fully attributed.
5. Data asset inventory—life cycle attribution and variable valuation.
6. Enterprise performance evaluation process—real time and continuous.
7. Enterprise predictive management—improved accuracy of anticipation, near-term and longer views.
8. Enterprise data exchange utility based on standard exchange model, interoperability, and openness.
9. Increased agility and adaptability and reduction of brittle and costly interfaces.
10. Application of semantic mediation technologies.
11. Enterprise staffing includes support for smart data strategy with strategic ...