Data Quality for Analytics Using SAS

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software, Programming
Cover of the book Data Quality for Analytics Using SAS by Gerhard Svolba, SAS Institute
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Author: Gerhard Svolba ISBN: 9781629598024
Publisher: SAS Institute Publication: May 5, 2015
Imprint: SAS Institute Language: English
Author: Gerhard Svolba
ISBN: 9781629598024
Publisher: SAS Institute
Publication: May 5, 2015
Imprint: SAS Institute
Language: English

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.

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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.

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