Executing Data Quality Projects, 2nd Edition

Chapter 5: Structuring Your Project

Abstract

It is essential that those using the Ten Steps do a good job of organizing their work. This chapter guides readers’ choices when setting up their projects and assembling a project team. Three general types of projects are detailed: 1) Focused data quality improvement project, 2) Data quality activities in another project, such as application development, data migration or integration of any kind, and 3) Ad hoc use of data quality steps, activities, or techniques from the Ten Steps. Additional information is given for incorporating data quality activities into another project using various SDLCs (solution/system/software life cycles). Relevant data quality activities from the Ten Steps can be ...