The impact of money laundering permeates both the economic and social spheres worldwide. With the power to collapse banks, money laundering has placed an enormous responsibility on financial institutions to ensure that financial crimes are appropriately detected and thwarted. By failing to do so, financial institutions and other businesses alike face possible fines, legal implications, and the loss of reputation.
As fraud is a high-cost crime, Neo4j has been used successfully by many financial institutions. One major fraud and money laundering case that used Neo4j was the International Consortium of Investigative Journalists (ICIJ) Pandora Papers investigation.
Read more: https://datastorageasean.com/blogs/fighting-fraud-and-money-laundering-graph-data-science
Keywords: AML • Anti-Money Landering • APAC • fraud detection • graph data science • Pandora Papers