Data Quality for Analytics Using SAS - Softcover

Svolba Ph.D., Gerhard

Softcover

ISBN 10: 160764620X ISBN 13: 9781607646204

Publisher: SAS Institute, 2012

Synopsis

Analytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. Gerhard Svolba's Data Quality for Analytics Using SAS focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness. The book is made up of three parts. The first part, which is conceptual, defines data quality and contains text, definitions, explanations, and examples. The second part shows how the data quality status can be profiled and the ways that data quality can be improved with analytical methods. The final part details the consequences of poor data quality for predictive modeling and time series forecasting.

With this book you will learn how you can use SAS to perform advanced profiling of data quality status and how SAS can help improve your data quality.

About this title

About the Author

Dr. Gerhard Svolba is a senior solutions architect and analytic expert at SAS Institute Inc. in Austria, where he specializes in analytics in different business and research domains. His project experience ranges from business and technical conceptual considerations to data preparation and analytic modeling across industries. He is the author of Data Preparation for Analytics Using SAS and teaches a SAS training course called "Building Analytic Data Marts."

Edition details

• Publisher: SAS Institute
• Publication date: 2012
• Language: English
• ISBN 10: 160764620X
• ISBN 13: 9781607646204
• Binding: Paperback
• Number of pages: 356