ABSTRACT
This chapter discusses the successful design and development of a data and process strategy to create value with simultaneous maintenance of the strategy's alignment with corporate objectives. It also describes how to decompose the strategy into lower-level components with suitable design parameters (DPs) to address complexity and sequences of execution for resource planning. The chapter highlights metrics management aspects that are essential for executing data and process strategies. The Axiomatic design theory developed by Professor Nam P. Suh has been used in developing systems, processes, or products that related with software, hardware, and manufacturing. This subject has been extensively used for the following purposes: to provide a systematic way of designing products and systems through a clear understanding of customer requirements; to determine the best designs from various design alternatives; and to create a robust system architecture by satisfying all of the functional requirements (FRs).
