“Data Quality Techniques is a standout contribution to modern data management, offering a clear and practical bridge between abstract data quality concepts and measurable, real-world implementation. With its structured approach, from definition to operationalization to quantification, it equips organizations to embed data quality as a governed, auditable capability. This work is highly recommended for data professionals seeking to move beyond theory and deliver tangible, enterprise-wide value.”
-Howard Diesel, CDO, Modelware Systems; DAMA South Africa Chapter President; and DMBOK v3 Editorial Board member