Chapter 11 - Data Life Cycle Processes

Abstract

This chapter describes four processes that provide different perspectives on managing the quality of data: The data life cycle, the data supply chain, the data value chain, and the systems development life cycle. These cycles help put the core data quality management capabilities in the context of other work carried out within the enterprise. Each model offers a variation on how we can think about executing data quality management activities. In combination, they provide data quality practitioners, data producers, and data consumers, as well as data stewards, data modelers, application developers, process improvement teams, and other stakeholders a means of understanding their work in the context of the wider enterprise. They also show the intersection of processes that can influence the condition of data. These models also help practitioners communicate across the enterprise because they depend on analogous processes that are executed by various business and technical teams (e.g., product management, supply chain management, value creation, project and program management).