DATA RE-ENGINEERING

 Data reengineering is a relatively new formulation of systems reengineering technologies developed to facilitate rapid, effective, and cost efficient database engineering required by aggressive project schedules. Interest is growing in the area of data reengineering, this variant was originally developed for use as part of the Department of Defense's Corporate Information Management Initiative. Data reengineering is enjoying wider application in response to industry demands for the benefits of a more data centered approach to systems reengineering. Data reengineering permits the project to be developed as a flexible, data focused system that can serve the CoV's current and future requirements. Additionally, rapid reengineering can reduce the time spent running parallel systems during system transition.

Data reengineering is a structured application redevelopment technique involving analysis of the existing data stores, model construction, and prototyped solutions prior to actual system implementation. Structured techniques provide data engineers with tools enabling them to comprehend certain otherwise unfathomable situations by: allowing the form of the problem to guide the form of the solution; providing guidance for problem decomposition; featuring a variety of tools simplifying system understanding; offering a set of strategies for evolving design solutions; providing criteria for evaluating solution quality; and facilitating organizational knowledge development. Structured techniques, near-standardized modeling representations, and CASE tool support are key concepts that make data reengineering economically viable.