This document summarizes a presentation about using Microsoft's Data Quality Services (DQS) for data quality assurance. It introduces DQS and its components for cleansing, matching, profiling, and monitoring data. DQS uses a knowledge-based approach where domain experts build knowledge bases of valid values and rules. It then uses these knowledge bases to identify data quality issues like invalid, inaccurate, incomplete or inconsistent data. The document provides examples of how DQS could help quality assurance engineers by introducing structure, measurement, reusability and manageability to the data quality process.