Accelerator Guide

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Germany Contact Data Cleansing Rules

Use the contact data cleansing rules to parse, standardize, and validate data about business contacts and individuals.

Find the contact data cleansing rules in the following repository location:

[Informatica_DQ_Content]\Rules\Contact_Data_Cleansing

The following table describes the contact data cleansing rules in the Germany accelerator:

Name	Description
rule_DEU_Gender_Assignment	Assigns gender according to first names. The rule returns "M" for male names, "F" for female names, and "U" if the gender is unknown. For example, the rule assigns the name "Hans Adler" a gender of "M" for male.
rule_DEU_Given_Name_Standard	Generates given names from German nicknames.
rule_DEU_Multi_Person_Name_Parse	Parses person name values into separate ports. The rule creates ports for values such as title, first name, middle name, and surname. The rule output includes a port that contains the full name of the person in the record. You can use the full name port as an input to a Match transformation in an identity match analysis mapping. When the name data identifies more than one person, the rule creates an output port for each full name. For example, the rule can read the name "Hans und Maria Adler" and create output ports for "Hans Adler" and "Maria Adler."
rule_DEU_Personal_Name_Parsing_FML	Parses the values in a person name into separate ports. The rule creates the ports in the following sequence: First name, middle name, last name The rule output also includes a port that contains the full name of the person in the record. You can use the full name port as an input to a Match transformation in an identity match analysis mapping.
rule_DEU_Personal_Name_Parsing_LFM	Parses the values in a person name into separate ports. The rule creates the ports in the following sequence: Last name, first name, middle name The rule output also includes a port that contains the full name of the person in the record. You can use the full name port as an input to a Match transformation in an identity match analysis mapping.
rule_DEU_Phone_Number_Parse	Parses a German telephone number from a string. The rule parses the first telephone number in the data, reading from right to left. The rule recognizes telephone numbers that use leading zeros, international dialing codes, or extensions that begin with the hash symbol. The rule processes the following punctuation symbols: the plus sign, parentheses, and the hash symbol. Before you run the rule, remove all other punctuation, including double spaces. The rule returns a telephone number and also returns a string that contains the input text with the telephone number removed.
rule_DEU_Phone_Number_Standardization	Standardizes German telephone numbers to international and local dialing formats. The rule recognizes telephone numbers that use leading zeros, international dialing codes, or extensions that begin with the hash symbol.
rule_DEU_Phone_Number_Validation	Validates the area code and length of German telephone numbers. The rule returns the region of the telephone number, as well as codes that indicate if the area code and length of a telephone number are valid.
rule_DEU_Prename_Assignment	Generates an honorific according to the gender.
rule_DEU_Salutation_Assignment	Generates formal and casual greetings from prenames and name tokens. For example, when input data contains "Herr Hans Adler," the rule generates the formal greeting "Sehr geehrter Herr Adler," and the casual greeting "Lieber Hans,". You can change the prefix and punctuation by editing the variables in the dq_Generate_Salutation Expression transformation.