Home Posts tagged "modeling"
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How WireCash Manages Fraud and Found Success Underwriting Digital Money Transfers to High Risk Markets

How well would your fraud management program perform if your organization depended on it for doing business with customers from countries like Ukraine and Nigeria? Now what if we said your business was facilitating money remittances to these countries? WireCash is doing just that, and we sought to uncover how this could be possible by

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IBM Acquires European Payment Fraud Vendor IRIS Analytics

In mid-January IBM announced the acquisition of IRIS Analytics, a data modeling and analytics provider based in Germany that focuses on risk management for issuers and payment providers. This is IBM’s second acquisition in risk management for the financial services industry following their 2013 purchase of Trusteer. IRIS Analytics was founded in 2007 and provides

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Critical Capabilities that can Enable Custom Modeling Solutions to Improve Business Intelligence

Real-time custom modeling can enhance Business Intelligence capabilities leading to not only improved risk detection, but an overall better understanding of your customers and business, which benefits other areas of the business outside of risk management. Many of the capabilities and features to look for when building or buying custom modeling solutions for risk management

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With Custom Modeling, Deployment is Just as Critical as Design

Whether an organization is building a custom modeling solution in-house, using a service provider or combining both in-house and third party resources, the fundamental components of an effective custom modeling solution are the same. Statistical models must first be created, which requires historical data, a team of modeling experts, as well as the right tools

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The Fraud Practice Offers Free White Paper and Webinar on Custom Modeling & Analytics for eCommerce Merchants

The Fraud Practice is hosting a webinar at 1pm ET on December 4th accompanying the new white paper titled “Enabling Custom Modeling & Analytics for The Modern eCommerce Merchant” which will be released the same day.  The eCommerce market has continued to mature over recent years to the benefit of both consumers and businesses that

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Differentiating Data Analytics from Data Analysis

In an interview with ZDNet, Josh Sullivan, leader of the data science and analytics practice at Booz Allen Hamilton, discusses the importance of human analysis complementing machine analytics. While the focus is on big data for any application, the discussion and points made provide insights and important considerations very relevant to modeling and analytics for

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