Data quality for analytics using SAS

by Svolba, Gerhard

Type Book

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Title Statements

Full title :Data quality for analytics using SAS / Gerhard Svolba.

Summary

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.