SAS Data Quality - Cleanse Software

SAS Data Quality - Cleanse Features

The MATCH procedure enables you to analyze a SAS data set to identify the variations of data that occur for a specified variable and to match similar observations based on criteria that you specify.
The SCHEME procedure enables you to build standardization schemes from your data and to use those schemes to transform your data.
The SAS Data Quality - Cleanse functions and CALL routines enable you to perform a wide variety of data analysis, cleansing, and standardization tasks on your data. For example, they enable you to analyze and parse input data and to return standardized values for data such as names and addresses. They also enable you to standardize the capitalization of data values and to determine whether a particular character value represents an individual or an organization.