Iyka Introduces Fast, Accurate Business Analytics Platform For Anti-Money-Laundering/AML
For example, a major international bank recently incurred
Iyka President and CEO
AML is becoming more of an issue now because criminals and international players are increasingly looking to global trade avenues to launder money. There are a number of reasons for this, the primary being that global trade is less scrutinized than finance.
And tracing global trade is more ephemeral--meaning effective analytics must to be able to process descriptive data in context. "The value of this capability can't be overestimated," Gupta-Krishnan added.
Global trade-based money laundering includes cartel funds, terrorist financing, and efforts to circumvent international sanctions--three very complex areas. Additionally it involves finance, shipping, and insurance operations across international legal and customs systems based on multiple languages.
According to a CIO article: How Big Data Analytics Can Help Track Money Laundering,
common trade-based money laundering (TBML) techniques include the following:
- Under-Invoicing. The exporter invoices trade goods at a price below the fair market price.
- Over-Invoicing. The exporter invoices trade goods at a price above the fair market value, allowing the importer to transfer value to the exporter.
- Multiple Invoicing. A money launderer or terrorist financier issues multiple invoices for the same international trade transaction, justifying multiple payments for the same shipment.
- Over and Under-Shipment. In some cases, the parties simply overstate or understate the quantities of goods shipped relative to the payments sent or received.
- False Description of
Trade Goods . Money launderers misrepresent the quality or type of trade goods. - Informal Money Transfer Systems (IMTS). An example is
Colombia 's Black Market Peso Exchange (BMPE), which was established by Colombian businesses trying to get aroundColombia 's restrictive currency exchange policies.
These sophisticated efforts to fly under the radar require sophisticated business analytics to counteract them. This means extracting and analyzing structured and especially unstructured data from in-house and external sources--a very tall order for most analytics platforms, but not for Iyka dS.
Iyka dS processes and accurately flags information from text analytics, policies, translators, industry-specific jargon, ontologies, spreadsheets, Web resources, unit price and weight analysis, international trade/country profile analysis, relational analysis of trade partners and depots, etc.
"The international bank situation was completely avoidable," Gupta-Krishnan said. "If it was up to us it would never happen again. But we are not experts in anti-money laundering and we are not heroes. Rather we empower the experts to become heroes at their own organizations."
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Read the full story at http://www.prweb.com/releases/Iyka/AML_analytics/prweb14011226.htm



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