Data Matching Techniques and Best Practices
This report features a best practice document issued to us by Data Quality Pro member Wayne Colless with the permission for publication granted by the Australian Attorney-General’s Department.
The full title of the guide is: 'Improving the Integrity of Identity Data - Data Matching Better Practice Guidelines, 2009'
Wayne Colless is an adviser on identity security matters in the Identity Security Branch, National Security Resilience Policy Division with the Attorney-General’s Department in Canberra, Australia.
Data Matching Best Practices
This report is an advisory guide for the Australian Government but has considerable relevance to any public or private organization looking to improve their data matching approach.
The guide features the following sections:
Data Matching Improvement Cycle
Details 6 stages involved in a recursive improvement cycle. The Data Matching Principles: Provides explanations of 17 data matching principles and how they affect each stage of the data matching improvement cycle.
Data Matching Examples
Provides example demonstrations explaining how data matching techniques should be applied.
Data Matching Case Study
Flexible Matching and Standardising: Includes a useful case study as adopted by the Australian Electoral Commission.
Data Definition Standards for Name and Address Data Transfer
Drawn from "AS4590 - Interchange of Client Information”, the standard includes definitions for Person Attributes, Person Name Attributes and Address Attributes
To download this data matching guide, please click the following link:
© Copyright Commonwealth of Australia reproduced by permission
Acknowledgement: 'Improving the Integrity of Identity Data - Data Matching Better Practice Guidelines, 2009' reproduced by permission. Author body: Attorney General’s Department, Australian Government.
Wayne is currently an Adviser on identity security matters with the Attorney-General’s Department in Canberra, Australia.
He is part of the Document Verification Service Implementation Team and also works in the development of national policy on identity data matching and identity data quality.Prior to his work with the Attorney-General’s Department he had gathered almost 20 years experience in the fields of identity data matching and social security identity fraud detection, having worked in that capacity with Australia’s service delivery agency, Centrelink. He also had the opportunity to deal with various US-based agencies on these matters.
He has been heavily involved in the development and running of a number of whole-of-government identity data matching exercises. He is a member of the Data Matching Working Group and has presented to a number of conferences on identity-related issues, representing both Centrelink and the Attorney-General’s Department during his time with those organisations.
Wayne can be contacted via his profile: http://au.linkedin.com/pub/wayne-colless/23/6b9/4b5