The accelerator rules define a range of data analysis and data transformation operations. You can add a single rule or a series of rules to a mapping.
Use accelerator rules to perform the following data quality tasks:
Validate and enhance the data in postal address records. The rules require address reference data files.
Parse information from records. Parsing rules can extract multiple types of information, including person names, organization names, telephone numbers, dates, and identification numbers.
Standardize the spelling and format of data values. Standardization rules can identify and correct multiple types of information, including person names, organization names, telephone numbers, dates, and identification numbers.
Find duplicate records in a data set. Duplicate analysis rules compare the records in a data set and generate a numeric score that represents the degree of similarity between the records.
The duplicate analysis rules can read records that contain general corporate data and records that contain identity data. The identity data rules require identity population data files.
The import operation adds the rules to the following repository folder:
Find the rules that perform address validation, data parsing, and data standardization operations in the
subfolders in the accelerator project. Find the rules that perform duplicate analysis in the
subfolder in the accelerator project.
If you import rules for a country or region, you add a subfolder for composite rules. A composite rule combines multiple rules in a nested format in a single rule.