4 - Enterprise Initiative Integration

Abstract

This chapter focuses on scoping the integration of data quality management along a variety of dimensions. Data quality management has a finite scope as a collection of best practices. However, the maturity of the program is not just defined in terms of functional capability; it must also be reviewed in the context of how the data quality practitioners can integrate a continuous program that supports organizational change and upheaval, new initiatives, or other broad-based activities within (and sometimes external to) the organization. Scoping out the data quality mission, and planning a road map and a program plan that can accommodate adjustments to the enterprise will help improve the chances of data quality success. The context and landscape in which data quality management is deployed are important considerations when designing an effective data quality program. The impact that the data quality initiative has on these initiatives must be considered, with the impacts of those initiatives on the data quality program. As organizations are gradually recognizing that the interconnectivity between the operational and analytic aspects of the business is driven by high quality data, there will be a recurring need to ensure that any major initiative is aligned with the data governance and data quality management processes.