ISBN:
9781612902272
,
1612902278
Language:
English
Pages:
1 online resource (1 v.)
,
ill.
Parallel Title:
Erscheint auch als
Keywords:
SAS (Computer file)
;
Business intelligence
;
Business ; Data processing
;
Electronic data processing
;
Electronic books
;
Electronic books ; local
Abstract:
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.
Note:
Includes bibliographical references and index. - Description based on print version record
URL:
https://learning.oreilly.com/library/view/-/9781607646204/?ar
