---
product_id: 19572967
title: "Data Quality for Analytics Using SAS"
brand: "sas institute"
price: "R$1234"
currency: BRL
in_stock: true
reviews_count: 5
category: "Book"
url: https://www.desertcart.com.br/products/19572967-data-quality-for-analytics-using-sas
store_origin: BR
region: Brazil
---

# Data Quality for Analytics Using SAS

**Brand:** sas institute
**Price:** R$1234
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Data Quality for Analytics Using SAS by sas institute
- **How much does it cost?** R$1234 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.com.br](https://www.desertcart.com.br/products/19572967-data-quality-for-analytics-using-sas)

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- sas institute enthusiasts

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## Description

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## Customer Reviews

### ⭐⭐⭐⭐⭐ 







  
  
    The Data Quality for Analytics Using SAS was spot on the money, it was exactly what I was seaching for and more.
  

*by A***O on Reviewed in the United States on January 14, 2013*

The reason I gave it the highest rating was that the subject matter in the book touched basis on every aspect of Data Quality for Analytics.  To explain, the material had all the information that I needed, which potential employers were asking for in job descriptions.  It used industry terminology that coincided with terms being published in job sites.  All of this helped me define and learn what was being asked for and what was needed in order to make me a better canidate for hire.  The author has a previous book, which it mentions, that I will be purchasing in the near future.  With all this being said, I was more than satisfied with my purchase and the reason I gave it the highest rating.

### ⭐⭐⭐⭐⭐ 







  
  
    Data Quality for Analytics - Taking the "vital signs" of data before embarking on an analytical project
  

*by L***O on Reviewed in the United States on September 17, 2012*

Dr. Svolba's new book about data quality for analytics encompasses everything you need to know about the topic as a practitioner / hands-on analyst or an analytic manager. With his signature style to give clear definitions and to present encyclopedic plethora of information in a very organized manner,  Dr. Svolba doesn't stop at outlying a solid data quality framework for analytics, but reviews various convincing real-life case studies with quantifiable impact of data quality on the project outcomes. The book offers SAS programs downloadable together with test datasets from the book's website, which is a part of SAS Community Wiki and is continuously updated with new material (a nice bonus to the book)."Diggers" like me may enjoy selecting a fact from the book and researching it deeper to find to their ultimate satisfaction that the author has covered and thought of it all. You may also like rolling up the sleeves and trying out some of the code examples and approaches on your own data. Curiously, while at it, I discovered that option ZEROMISS in ID statement of PROC TIMESERIES is not documented in SAS Help, but it works as described in PROC ESM. You may learn something new or refresh your knowledge even if you have years of experience in data analytics. For example, my current work focuses on text mining, but I used to built ARIMA models using stock prices and currency exchange rates and was glad for an opportunity to read about data quality assessment for forecasting projects. If you've never used SAS HASH object, you may try to use it following the example of Dr. Svolba that checks data completeness and data integrity.To summarize, the more you apply the concepts and methodologies from the book in your own projects, the more value you gain from the book and the more appreciation you have for the author who has done the "leg work" and made information conveniently available for many SAS users to benefit.

### ⭐⭐⭐⭐⭐ 







  
  
    What are the consequences of low data quality?
  

*by M***K on Reviewed in the United States on August 15, 2012*

This book fills a gap in the data quality literature. I very much like the presentation of consequences of low data quality. The book does not only discuss these consequences from a qualitative point of view (such as low trust in results, postponing of projects, ...), it also shows quantitative results based on simulation studies. It is interesting to see the impact of different degrees of data quality on the accuracy of the outcome. Especially the simulation studies for predictive modeling provide much insight into the relationships between data input and model outcome.Read it - and apply the gained knowledge to your data projects!

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*Product available on Desertcart Brazil*
*Store origin: BR*
*Last updated: 2026-05-03*