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Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lawler, Software Intelligence Corporation Stephen Sloan, AccentureAbstract Data comes in all forms, shapes, sizes and complexities.
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How to fill out sas fuzzy matching

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How to fill out sas fuzzy matching

01
To fill out SAS fuzzy matching, follow these steps:
02
Start by opening the fuzzy matching program in SAS.
03
Define the input data sets that you want to match. These data sets should contain the variables you want to use for matching.
04
Specify the matching method you want to use, such as decision tree matching or rule-based matching.
05
Set the threshold for matching, which determines the level of similarity required for a match to be considered valid.
06
Configure any additional options or parameters for the matching process, such as whether to use case sensitivity or how to handle missing values.
07
Run the fuzzy matching program and wait for it to complete.
08
Review the output and results of the fuzzy matching process to identify and analyze the matched records.
09
Use the matched records for further analysis, reporting, or other purposes as needed.

Who needs sas fuzzy matching?

01
SAS fuzzy matching can be useful for various individuals or organizations that need to perform data matching or record linkage tasks, such as:
02
- Data analysts or scientists who need to match and merge datasets from different sources.
03
- Marketing professionals who want to identify and consolidate customer records across multiple databases.
04
- Healthcare organizations that need to link patient records for better care coordination.
05
- Fraud detection teams who want to identify potentially duplicate or fraudulent records.
06
- Researchers who need to combine or link data from different studies.
07
- Government agencies or departments that need to consolidate and cleanse datasets for analysis or reporting.
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SAS Fuzzy Matching is a technique used to find similarities between two text strings that may not be an exact match.
Organizations or individuals who need to match and compare large sets of data for analysis purposes.
SAS Fuzzy Matching can be filled out using software tools such as SAS Data Quality or other data manipulation programs.
The purpose of SAS Fuzzy Matching is to identify and link similar data entries that may have variations or errors.
Data elements to be reported for SAS Fuzzy Matching include names, addresses, and other relevant identifying information.
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