Title Statements
- Full title :Data quality for analytics using SAS / Gerhard Svolba.
Edition Statements
- Publication Date:2012.
Publication Statements
- Publisher(s):SAS Institute
- Place of Publication:Cary, N.C
- Language:eng
- Publication Date:2012.
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9781612902272, 1612902278
- oclc:ocn818321391
- LC Classification:QA76.9.E95
- Dewey Decimal:005.7
Table of Contents
Introductory case studies -- Definition and scope of data quality for analytics -- Data availability -- Data quantity -- Data completeness -- Data correctness -- Predictive modeling -- Analytics for data quality -- Process considerations for data quality -- Profiling and imputation of missing values -- Profiling and replacement of missing data in a time series -- Data quality control across related tables -- Data quality with analytics -- Data quality profiling and improvement with SAS analytic tools -- Introduction to simulation studies -- Simulating the consequences of poor data quality for predictive modeling -- Influence of data quality and data availability on model quality in predictive modeling -- Influence of data completeness on model quality in predictive modeling -- Influence of data correctness on model quality in predictive modeling -- Simulating the consequences of poor data quality in time series forecasting -- Consequences of data quantity and data completeness in time series forecasting -- Consequences of random disturbances in time series data -- Consequences of systematic disturbances in time series data.
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