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...
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| Autores Corporativos: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cary, N.C. :
SAS Institute
2012
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628492306719 |
| Sumario: | 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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| Notas: | Title from title screen. |
| Descripción Física: | 1 online resource (1 v.) : ill Available also in a print ed |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781612902272 |
