Customer Data Parser Process - trillium_discovery - trillium_quality - 17.2

Step 1: Assign Intrinsic Attributes

Example  

Line 1

Input	Mr	John	E	Smith	Jr
Intrinsic Attribute	ALPHA	ALPHA	1ALPHA	ALPHA	ALPHA

Line 2

Input	1	Lexington	Rd
Intrinsic Attribute	1NUMERIC	ALPHA	ALPHA

Line 3

Input	Billerica	MA	01821
Intrinsic Attribute	ALPHA	ALPHA	NUMERIC

 

Step 2: Assign Specific Attributes

Example  

Line 1

Input	Mr	John	E	Smith	Jr
Intrinsic Attribute	ALPHA	ALPHA	1ALPHA	ALPHA	ALPHA
Specific Attribute	TITLE-PREFIX	GIVEN-NAME1			GENERATION

Line 2

Input	1	Lexington	Rd
Intrinsic Attribute	1NUMERIC	ALPHA	ALPHA
Specific Attribute			STREET-TYPE

Line 3

Input	Billerica	MA	01821
Intrinsic Attribute	ALPHA	ALPHA	NUMERIC
Specific Attribute			POSTCODE

 

Step 3: Assign Line Types

Using the attributes assigned in Step 2, the CDP identifies the line type and reassesses the attributes based on the line type. For example, if the attributes on a line include STREET-NAME and STREET-TYPE, the CDP would identify the line type as Street. The Parser identifies four types of lines:

• Name (N)
• Street (S)
• Geography (G)
• Miscellaneous (M)

Example  

Line 1

Input	Mr	John	E	Smith	Jr
Line Type = N	TITLE-PREFIX	GIVEN-NAME1	1ALPHA	ALPHA	GENERATION

Line 2

Input	1	Lexington	Rd
Line Type = S			STREET-TYPE

Line 3

Input	Billerica	MA	01821
Line Type = G			POSTCODE

 

Step 4: Process Geography Lines

After identifying the lines, the CDP then parses each line in detail. Geographic lines are parsed first using the city tables.

Example  

Line 3 (Line type = G)

Input	Billerica	MA	01821
Final Attribute	CITY	STATE	POSTCODE

 

Step 5: Process Name Lines

Next, the CDP parses the name lines. The CDP looks up the original pattern of the name line in the country-specific word and pattern definitions table and recodes the line based on the recoded pattern.

Example  

Line 1 (Line type = N)

Input	Mr	John	E	Smith	Jr
Final Attribute	TITLE-PREFIX	GIVEN-NAME1	GIVEN-NAME2	SURNAME	GENERATION

 

Step 6: Process Street Lines

Street line information is similar to name line information. The CDP looks up the original pattern of the street line in the country-specific word and pattern definitions table and recodes the line based on the recoded pattern.

Example  

Line 2 (Line type = S)

Input	1	Lexington	Rd
Final Attribute	HSNO	STREET-NAME	STREET-TYPE

 

Step 7: Generate Output

Based on the final attributes, the CDP generates standardized output that can be analyzed and corrected (PR_ fields, the "Parser Repository").

Example  

CDP Input		CDP Output
Line 1:	Mr John E Smith Jr	Pr Name Prefix Recoded 01	MR
Line 2:	1 Lexington Rd	Pr Given Name1 Recoded 01	JOHN
Line 3:	Billerica, MA 01821	Pr Given Name2 Recoded 01	E
		Pr Surname1 Recoded 01	SMITH
		Pr Name Generation Recoded 01	JR
		Pr House Number Recoded	1
		Pr Street Name Recoded	LEXINGTON
		Pr Street Type1 Recoded	RD
		Pr City Name Recoded	BILLERICA
		Pr State Recoded	MA
		Pr Postal Code	01821