Blog

NetReveal risk scoring enhanced by new alliance with Dun & Bradstreet

05.03.2022 | By Mark Speyers
 

London – May 3, 2022 – SymphonyAI NetReveal Digital Intelligence, a leading global provider of anti-money laundering (AML) and counter fraud solutions, today announced a new alliance with Dun & Bradstreet, a leading global provider of business decisioning data and analytics, designed to help NetReveal clients to accelerate and enhance compliance and customer onboarding.

Under the new agreement, seamless integration of Dun & Bradstreet’s data and analytics with BAE’s NetReveal platform will offer customers of both companies enriched and extended information, arming investigators with a holistic view of customer risk to support fast, accurate decisions.

The combination of NetReveal and Dun & Bradstreet data and analytics delivers intelligent corporate entity resolution to businesses with:

• Enriched, extended customer/entity information
• Reduced onboarding times and increased analyst efficiency

“Identifying, capturing and risk assessing all the relevant information for anti-money laundering investigations is a key challenge for financial institutions. Research suggests that analysts typically spend valuable time accessing between three and seven external resources during the process,” explained BAE Digital Intelligence Product Director Peter Fisher. “With our Dun & Bradstreet collaboration, we’re able to streamline this process, freeing up analyst time whilst providing a powerful source of customer information to strengthen risk assessments.”

“The collaboration with SymphonyAI NetReveal Digital Intelligence will provide our clients with enhanced capabilities to support them in making important, risk-based decisions”, said Nick White, Head of Strategic Partnerships UK&I at Dun & Bradstreet. “Our broad range of data sources and corporate records are able to integrate with NetReveal’s platform and enrich the quality of risk data for new and existing clients. This, combined with NetReveal’s platform, will provide customers with a holistic visualisation of their entire customer risk profile and enable faster, more informed decisions during the onboarding process, rescoring and throughout the insurance lifecycle.”

Thanks to the new capabilities, enriched customer details will be just a mouse click away for NetReveal users, allowing them to compare Dun & Bradstreet-sourced information side-by-side with customer-supplied data for speedy analysis.

About SymphonyAI NetReveal Digital Intelligence

SymphonyAI NetReveal Digital Intelligence is home to 4,800 digital, cyber and intelligence experts. We work collaboratively across 16 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Launched in 2022, Digital Intelligence is part of SymphonyAI NetReveal, and has a rich heritage in helping to defend nations and businesses around the world from advanced threats. For more information, please visit www.baesystems.com/digital

About Dun & Bradstreet

Dun & Bradstreet, a leading global provider of business decisioning data and analytics, enables companies around the world to improve their business performance. Dun & Bradstreet’s Data Cloud fuels solutions and delivers insights that empower customers to accelerate revenue, lower cost, mitigate risk and transform their businesses. Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity. For more information on Dun & Bradstreet, please visit www.dnb.com.

Latest Insights

Scale Data-Driven, Intelligent Operations with industrial DataOps
 
05.08.2024 Analyst report

The Path Towards Data-driven and Intelligent Operations

Industrial Square Icon Svg
copilots
 
05.08.2024 Blog

How Copilots Will Transform Service Management

Enterprise IT Square Icon Svg
Understanding NetReveal Payment Fraud stock
 
05.08.2024 Blog

Understanding NetReveal Payment Fraud

Financial Services Square Icon Svg