Global Anti-money Laundering (AML) Software Market 2014-2018

Monday 12 May 2014, Amsterdam

Analysts of the new report recognize the following companies as the key players in Global Anti-money Laundering (AML) Software Market: Fiserv Inc., NICE Actimize Inc., Norkom Technologies Ltd., SAS Institute Inc., 3i Infotech Ltd., Accuity Birst Inc., ACI Worldwide Inc., Acquilan Technologies Inc. , Ficrosoft, Cellent Finance Solutions AG, EastNets Ltd., Ficrosoft Infor Global Solutions, FIS., Infrasoft Technologies Ltd., Oracle Corp., Tata Consultancy Services Ltd., Thomson Reuters Corp.

Commenting on the report, an analyst said: “The service providers are applying an analytical approach to meet AML compliance and there are different methodologies applied by service providers to identify suspicious activity reports. However, some traditional approaches such as linear regression analysis generate false alerts along with suspicious activity reports, which are not worth investigating. On the other hand, predictive analytics enables enterprises to reduce the false alerts by 60 to 70 percent and reduces the compliance cost of adopting AML software. Predictive analytics is also a better methodology because it can encode more information about an account or customer’s activity.”

According to the report, most people are increasingly shifting toward debit cards as a preferred mode of payment because of the ease of use. This leads to data breach by criminals to access huge amounts and acquire debit card information. Large-scale data breaches of major retail chains are currently common. If there are a number of debit frauds against an enterprise customer satisfaction is not met and thus they stop availing the service. To save customers loss and prevent customers from becoming the victim of such activities, many enterprises are deploying AML software.
Further, the report states that one of the major challenges is the inconsistency in the data because of the data in enterprises are collected by the different departments and proper functioning of AML software requires consistency in data.