Data quality provides
the processes and tools to assess, correct, monitor, and maintain
data health in an organization. The data quality features included
in SAS applications address data quality issues quickly and easily.
These features perform functions that include profiling of records,
entity resolution, data lineage, text extraction, data remediation,
process orchestration, and job monitoring.
Data quality and enrichment
in SAS data management includes the following applications:
SAS offers additional
quality-focused applications. SAS In-Database Technologies for Teradata
includes a Data Quality Accelerator that enables you to run Data Quality
functions inside Teradata. SAS Data Loader for Hadoop enables business
users and data scientists to profile and run data quality functions
inside Hadoop for improved performance. SAS Data Integration Studio
contains transformations that bring data quality functions to the
application. For more information, see
Other Applications with Data Quality Functions.