Anti-money laundering screening and data matching

Inside you’ll learn:

AML compliance programs demand accurate and timely information. Yet, 87% of organizations’ financial crime risk management processes and systems are only, at best, ‘somewhat,’ efficient. Poor data quality, disparate data sources, manual matching & screening processes and the high rate of false positives are one of the leading causes of poor compliance with AML regulations. Download this whitepaper to understand:

  • The AML compliance dilemma
  • Current system limitations and state of investigations
  • Name-matching technology as a critical challenge to AML compliance
  • Choosing an identity resolution product
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Merging Data from Multiple Sources – Challenges and Solutions

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