Table of Contents

Search

  1. Preface
  2. Introduction
  3. The Design Issues
  4. Standard Population Choices
  5. Parsing, Standardization and Cleaning
  6. Customer Identification Systems
  7. Fraud and Intelligence Systems
  8. Marketing Systems
  9. Simple Search
  10. Summary

Application and Database Design Guide

Application and Database Design Guide

Parsing, Standardization and Cleaning

Parsing, Standardization and Cleaning

This chapter provides a background as to why Informatica’s approach to identity search and matching compensates for data that cannot be successfully parsed, standardized or cleaned, or data that must be processed in its original form. It argues that strong search and matching succeeds despite the format or quality of the data.
Systems must be designed to find and match data well regardless of its shape or order, regardless of its country of origin, and without the need for detailed parsing and cleaning of the components.

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