About this paper
Before starting any data quality or data governance initiative, an important first step is to set expectations. Specifying expectations provides a means for measuring and monitoring the conformance of data (and the associated processes) within an operational data governance framework. These expectations can be formalized under a data quality service level agreement (DQ SLA), which specifies the roles and responsibilities associated with managing data quality expectations and assuring that they will be met. This paper describes the techniques that can help support operational data governance through creation of DQ SLAs.
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 80,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know® .