Tigergraph improves aml quality & reduces cost
Stop Money Laundering in Its Tracks
Since 2009, the US and EU have fined banks in excess of $342 billion for misconduct. In 2018, regulators fined US Bank $613 million due to lax anti-money laundering controls. This is exactly why Anti-Money Laundering (AML) legislation is in place. But you need an anti-money laundering solution that not only meets AML regulations, but produces results that reduce costs.
Real-time deep link analytics allows anti-money laundering experts within enterprises to find previously undiscovered correlations and connections within their data and stop money laundering in its tracks.
Get the solution brief, TigerGraph for Anti-Money Laundering to learn how TigerGraph does AML differently. You’ll discover:
- How to use graphs to improve your Know Your Customer process
- How important it is to identify links between customers and sanctioned entities
- The necessity of improved reporting to support compliance requirements
- How analysts will save time and work more efficiently
About TigerGraph
TigerGraph is the winner of the 2018 Strata award for Most Disruptive Startup. TigerGraph is the world’s fastest graph analytics platform designed to unleash the power of interconnected data for deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset.