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.
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