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.
1110389615
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.
52.99
In Stock
5
1
Data Quality for Analytics Using SAS
356
Data Quality for Analytics Using SAS
356
52.99
In Stock
Product Details
| ISBN-13: | 9781629598024 |
|---|---|
| Publisher: | SAS Institute |
| Publication date: | 05/05/2015 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 356 |
| File size: | 31 MB |
| Note: | This product may take a few minutes to download. |
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