Data Quality for Analytics Using SAS
Data quality is the key ingredient for a successful analytics project. In our past research, we have extensively shown that the best investment to boost the performance of any analytical model is by understanding and improving data quality.In his book, Gerhard Svolba provides comprehensive coverage of the topic by defining data quality first, followed by providing well-articulated guidelines to profile and improve data quality, and concluding with illustrating the impact of poor data quality in predictive modeling and time series forecasting, among other examples. The book is well-structured and written, with lots of practical examples clarifying the ideas presented. In short, I consider the book a must-read for anyone working on developing high-performing analytical models! --Dr. Bart Baesens, Professor, Department of Decision Sciences and Information Management, KU Leuven