Text

Data quality for analytics using SAS

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.SAS Products and Releases: Base SAS: 9.3_M1, 9.3, 9.21_M3, 9.21_M2, 9.21_M1, 9.21, 9.2, 9.1.3, 9.1.2, 9.1, 9.0, 8.2, 8.01, 8.00, 8.0, 7.01, 6.12, 6.11, 6.10, 6.09, 6.08, 6.07, 6.06, 6.04, 6.03, 6.02, 6.01, 5.18 DataFlux Data Management DataPack North America: 2.1 SAS Enterprise Miner: 9.1.3, 7.1_M1, 7.1, 6.2, 6.1_M3, 6.1_M2, 6.1_M1, 6.1, 5.3, 5.2, 5.1.3, 5.1, 5.0, 4.2, 4.1, 4.0, 3.01, 3.0 Operating Systems: All

Availability

Detail Information

Series Title

-

Call Number

005.7 Svo d

Publisher

North Carolina : SAS Press., 2012

Collation

-

Language

English

ISBN/ISSN

9781607646204

Classification

005.7 Svo d

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

BUSINESS INTELLIGENCE
SAS (Computer file)
Mathematical statistics--Data processing
Electronic data processing--Data preparation
Electronic data processing--Quality control
Business--Data processing

Specific Detail Info

-

Statement of Responsibility

-

Other version/related

File Attachment