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BANKING: Understanding the Need for Data Quality to Mitigate Financial Crime Risk

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Learn how financial institutions need to address the importance of data quality to fight against fraudsters. Now more than ever, it's essential to improve your AML/KYC workflow and processes.
 
As a financial institution, how do you cost-effectively review your growing volume of data and do more than spot potentially fraudulent activity? To answer this question, organizations need to revisit their data quality and look to analytic techniques and technology to enhance their onboarding, continuous transaction monitoring and sanction screening processes.

Join this webinar to understand how data quality can help you make informed decisions to reduce financial crime risk. Key learnings include:

  • Guidance on how to assess the quality of your organization’s data to flag fraudulent activity
  • Data standardization and leveraging current best practices to identify criminal behavior
  • Future advanced data and analytics techniques such as artificial intelligence, machine learning, natural language processing and cognitive automation and how they will be applied to accelerate or automate risk mitigation processes
  • How Blockchain has and will continue to change financial services and its implications in combatting financial criminal activity
 
PANELISTS

Gina Jurva, Esq., Thought Leadership Manager, Thomson Reuters
Amanda DuPont, Public Records Product Specialist, Thomson Reuters
Joe Raczynski, Technologist/Futurist, Thomson Reuters

Thank you for your interest. 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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