Table of Contents

Search

  1. Preface
  2. Introduction
  3. Major Concepts
  4. Prototyping
  5. The Design Issues
  6. Standard Population Choices
  7. Customer Identification Systems
  8. Identity Screening Systems
  9. Fraud and Intelligence Systems
  10. Marketing Systems

Best Practices Guide

Best Practices Guide

Overview

Overview

This chapter provides a background to why Informatica’s approach to identity search and matching supports strong fraud & intelligence systems.
In data used by Law Enforcement, Intelligence, Fraud and Security systems there is a growing need to support better reliability and availability, more data integration, increasingly diverse data sources and larger volumes of data.
Computer systems must make sure that the highly valuable data that is stored in these systems can in fact be found, despite its error and variation. Similarly the value of the high-end tools of criminal and fraud investigation that provide "link analysis", "data clustering", or "visualization" can be significantly improved if they make use of the very best search and matching algorithms.

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