Difference between revisions of "Global Address Object:Introduction"

From Melissa Data Wiki
Jump to navigation Jump to search
Line 10: Line 10:
 
|- align="left"
 
|- align="left"
 
! style="color:black;"|[[Global Address Object:Introduction|Introduction]]
 
! style="color:black;"|[[Global Address Object:Introduction|Introduction]]
 +
|-
 +
|[[Global Address Object:Using Global Address Object|Using Global Address Object]]
 
|-
 
|-
 
|[[Global Address Object:Platforms and Methods|Platforms and Methods]]
 
|[[Global Address Object:Platforms and Methods|Platforms and Methods]]
 
|-
 
|-
 
|[[Global Address Object:Licensing|Licensing]]
 
|[[Global Address Object:Licensing|Licensing]]
|-
 
|[[Global Address Object:Result Code Use|Result Code Use]]
 
 
|}
 
|}
 
|-
 
|-
Line 56: Line 56:
 
|- align="left"
 
|- align="left"
 
! style="color:black;"|[[Global Address Object:Result Codes|Result Codes]]
 
! style="color:black;"|[[Global Address Object:Result Codes|Result Codes]]
 +
|-
 +
|[[Global Address Object:Result Code Use|Result Code Use]]
 
|-
 
|-
 
|[[Returned Result Codes:APIs#Global Address Object|Returned Result Codes]]
 
|[[Returned Result Codes:APIs#Global Address Object|Returned Result Codes]]
Line 66: Line 68:
 
{{CustomTOC}}
 
{{CustomTOC}}
  
These customizable developer tools have been designed to help efficiently manage and improve the data quality levels in your global address data, all while providing for superior performance and profitability. This product can be used as a turning point at which the international data collected across your organization can be transformed into usable reliable information. With the Global Address Object, you will be able to verify and standardize addresses, geocode address data, in 7+ alphabets/languages and covering 240+ countries and territories.
+
International address data quality is a challenge for organizations of all sizes. International data with its differing address structures, terms, and alphabets can if handled poorly have a substantial negative impact on your data-driven initiatives. Melissa Data provides customizable developer tools have been designed to help efficiently manage and improve the data quality levels in your global contact data, all while providing for superior performance and profitability at a favorable price point. Global Address Object can be used as a turning point at which the international data collected across your organization can be transformed into usable reliable information and maintained that way. By using Global Address Object, you’ll reduce costly international undeliverable and return mail, increase effective multinational communication efforts, and save money on all the data driven initiatives across the organization.
  
==About Global Address Object==
+
==Reference Data Coverage==
International address data quality is a challenge for organizations of all sizes. International data with its differing address structures, terms, and alphabets can if handled poorly have a substantial negative impact on your data-driven initiatives.  By using Global Address Object, you’ll reduce costly international undeliverable and return mail, increase effective multinational communication efforts, and save money on all the data driven initiatives across the organization.
+
Melissa Data utilizes the best sources of reference data available on the most frequent refresh schedule to provide a high quality address result. Our reference data is measured from the broadest level of coverage (Locality/Postal Code) to the most precise level of coverage (postal certified delivery point). Our current data coverage are as follows:
  
===Address Verification Process===
+
{| class="alternate01 sortable" cellspacing="0"
When considering the process that the Global Address Object performs when verifying or correcting an address there is a cycle the input address moves through to provide the highest quality match and verification result.  This process applies a combination of matching logic and the highest quality reference data to product the best possible address result.
+
!Country Name
 +
!Country Code
 +
!Maximum Address Verification Level
 +
!Maximum Geocode Level
 +
|-
 +
|Austria
 +
|AT
 +
|4 - Premises
 +
|4 – Interpolated Rooftop
 +
|-
 +
|Canada
 +
|CA
 +
|4 - Premises
 +
|4 – Interpolated Rooftop
 +
|-
 +
|Switzerland
 +
|CH
 +
|4 - Premises
 +
|4 – Interpolated Rooftop
 +
|-
 +
|Germany
 +
|DE
 +
|4 - Premises
 +
|4 – Interpolated Rooftop
 +
|-
 +
|United States
 +
|US
 +
|5 - Delivery Point
 +
|5 – Rooftop
 +
|}
  
===Reference Data Coverage===
 
Melissa Data utilizes the best sources of reference data available on the most frequent refresh schedule to provide a high quality address result.  Our reference data is measured from the broadest level of coverage (Locality/Postal Code) to the most precise level of coverage (postal certified delivery point).
 
  
[[File:API_GAO_ReferenceDataCoverage.png|link=]]
+
{| class="alternate01" cellspacing="0"
 +
!colspan="2"|Verification Level
 +
!colspan="2"|GeoCode Level
 +
|-
 +
|2
 +
|Locality
 +
|2
 +
|Locality
 +
|-
 +
|3
 +
|Thoroughfare
 +
|3
 +
|Thoroughfare
 +
|-
 +
|4
 +
|Premises
 +
|4
 +
|Interpolated Rooftop
 +
|-
 +
|5
 +
|Delivery Point
 +
|5
 +
|Rooftop
 +
|}
  
At Melissa Data we are constantly attempting to improve our coverage and move countries which are covered at a locality/postal code level to a house number, sub house number, and where possible postal delivery point level. As mentioned, reference data is important but only half of the story for successful global address verification.
+
At Melissa Data we are constantly attempting to improve our coverage by adding reference data as well as using the data to its maximum potential. However, reference data is important but only half of the story for successful global address verification. The industry experience and top notch support provided by Melissa Data are also important factors in providing the best data quality solution.
  
===Verifying an Address===
+
==Capabilities==
When the Global Address Object attempts to verify input data as an address it moves the data through a specific process flow or steps: Field, Parse, Verify/Correct, and Format & Return.
+
Global Address Object can take the following types of inputs:
  
[[File:API_GAO_VerfyingAddress.png|link=]]
+
*Full Address within one to eight address lines
 +
*Full Address parsed into address lines, locality, administrative area, and postal code.
  
====Field====
+
The object can then return the following types of output:
Global Address Object attempts to determine what elements of the input data are address elements and separate those from other input elements (email address, names, phone numbers etc.) that might be included but are not actually part of the address input.  In this step Global Address Object also attempts to determine the country associated with the input data if a specific country delineator (country name, ISO code, etc.) is not provided.
 
  
====Parse====
+
*Full Address formatted into the locally preferred format
Next the fielded address data will be parsed into more specific address elements.  This is the process of taking address lines (1-8) and attempting to classify what part of an address line might be a house number, postal code, thoroughfare/street, etc.  Once this is completed, the best parsed result will be matched and verified against our global reference data.
+
*Full Address split into delivery address lines and locality lines.
 +
*Individual parsed components
 +
*Additional information including latitude, longitude, and timezone
  
====Verify/Correct====
+
When considering the process that the Global Address Object performs when verifying or correcting an address there is a cycle the input address moves through to provide the highest quality match and verification result. This process applies a combination of matching logic and the highest quality reference data to product the best possible address result.
Reference data and international address quality standards are applied to arrive at a verification of the accuracy of the address input or a correction/standardization of the address input to produce the best possible result. Once verification and correction has been completed the best address candidate is formatted and provided as the result with corresponding result code(s).
 
  
====Format & Return====
+
==Languages/Scripts==
The best address output is formatted appropriately for the destination country and returned in the requested language/alphabet. Formatting includes items like, ensuring the house number is in the correct place for the given country postal format and that the return address data is in the appropriate alphabet. Along with diacritics in the Latin alphabet, Melissa Data supports: Cyrillic, Arabic, Thai, Hebrew, Greek, Korean, Japanese, and Chinese alphabets.
+
Global Address Object supports the native language and script for each country that we support. For countries with native languages that does not use latin script, a translated or transliterated version of the address can be provided.†
 +
†Currently not supported. Slated for a near future release.
  
  
 
[[Category:Global Address Object]]
 
[[Category:Global Address Object]]
 
[[Category:Reference]]
 
[[Category:Reference]]

Revision as of 00:06, 11 September 2014

← Global Address Object Reference

Global Address Object Navigation
Introduction
Using Global Address Object
Platforms and Methods
Licensing
Interface
Address Handling
Interface Use
Methods
Setup Methods
Input Methods
Processing Methods
Output Methods
Parameters
Input Parameters
Output Parameters
Result Codes
Result Code Use
Returned Result Codes
Other Codes



International address data quality is a challenge for organizations of all sizes. International data with its differing address structures, terms, and alphabets can if handled poorly have a substantial negative impact on your data-driven initiatives. Melissa Data provides customizable developer tools have been designed to help efficiently manage and improve the data quality levels in your global contact data, all while providing for superior performance and profitability at a favorable price point. Global Address Object can be used as a turning point at which the international data collected across your organization can be transformed into usable reliable information and maintained that way. By using Global Address Object, you’ll reduce costly international undeliverable and return mail, increase effective multinational communication efforts, and save money on all the data driven initiatives across the organization.

Reference Data Coverage

Melissa Data utilizes the best sources of reference data available on the most frequent refresh schedule to provide a high quality address result. Our reference data is measured from the broadest level of coverage (Locality/Postal Code) to the most precise level of coverage (postal certified delivery point). Our current data coverage are as follows:

Country Name Country Code Maximum Address Verification Level Maximum Geocode Level
Austria AT 4 - Premises 4 – Interpolated Rooftop
Canada CA 4 - Premises 4 – Interpolated Rooftop
Switzerland CH 4 - Premises 4 – Interpolated Rooftop
Germany DE 4 - Premises 4 – Interpolated Rooftop
United States US 5 - Delivery Point 5 – Rooftop


Verification Level GeoCode Level
2 Locality 2 Locality
3 Thoroughfare 3 Thoroughfare
4 Premises 4 Interpolated Rooftop
5 Delivery Point 5 Rooftop

At Melissa Data we are constantly attempting to improve our coverage by adding reference data as well as using the data to its maximum potential. However, reference data is important but only half of the story for successful global address verification. The industry experience and top notch support provided by Melissa Data are also important factors in providing the best data quality solution.

Capabilities

Global Address Object can take the following types of inputs:

  • Full Address within one to eight address lines
  • Full Address parsed into address lines, locality, administrative area, and postal code.

The object can then return the following types of output:

  • Full Address formatted into the locally preferred format
  • Full Address split into delivery address lines and locality lines.
  • Individual parsed components
  • Additional information including latitude, longitude, and timezone

When considering the process that the Global Address Object performs when verifying or correcting an address there is a cycle the input address moves through to provide the highest quality match and verification result. This process applies a combination of matching logic and the highest quality reference data to product the best possible address result.

Languages/Scripts

Global Address Object supports the native language and script for each country that we support. For countries with native languages that does not use latin script, a translated or transliterated version of the address can be provided.† †Currently not supported. Slated for a near future release.