Financial Crime World

Unlocking the Power of Data in Financial Ecosystems

The Importance of Data in Detecting Risk Factors

In today’s financial landscape, data plays a crucial role in identifying potential risk factors such as fraudulent activities or money laundering. Advanced technologies like artificial intelligence (AI), robotic process automation (RPA), and natural language processing (NLP) are transforming the way financial institutions approach fraud detection.

Benefits of Advanced Technologies

  • Automate processes at scale to improve efficiency
  • Enhance fraud detection capabilities through advanced analytics
  • Improve accuracy and reduce false positives

Case in Point: ISO 20022

The global messaging standard for financial transactions, ISO 20022, is set to introduce standardization, structure, and richer data across the payments landscape. This migration will bring numerous benefits to banks, including:

Preparing for the Future of Payments

37% of North American banks polled in a survey cited Fraud Monitoring (FRAML) as one of the key benefits they expect to gain from the migration to ISO 20022.

Streamlining Payments Integration with SEEBURGER’s Solutions

SEEBURGER’s Payments Integration Hub helps banks address various aspects of the payments integration process, including:

  • Onboarding corporate customers and their data transfers
  • Self-services for testing and configuration
  • Application integration, validation, and transformation