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Combat Money Laundering with In-Database Analytics

Cover

Money laundering was back at the top of the agenda recently when on June 26th 2017, the European Union’s Fourth Anti-Money Laundering Direct came into force.

One way to detect money laundering activities is by using in-database analytics. This can help enterprises cut costs, speed development and tighten governance on advanced analytics initiatives.

In this e-guide, discover 4 big factors that contribute to compliance failure in the realm of anti-money laundering including:

  • The number of non-cash transactions around the world
  • Legacy solutions are largely rules-based
  • And 2 more
Vendor:
Onfido
Posted:
28 Feb 2019
Published:
28 Feb 2019
Format:
Microsoft Word
Length:
8 Page(s)
Type:
eGuide
Language:
English

This resource is no longer available.