Choosing a detection and investigation solution for financial crime
Financial institutions, government agencies, and other organizations working to counter fraud, money laundering, corruption, and other financial crime depend on large sets of heterogeneous data to detect and investigate suspicious activity. Legacy systems often struggle to efficiently pinpoint anomalies within the data.
This white paper explores in detail the key characteristics of effective detection and investigation solutions. Broken down into several specific criteria, this guide helps you examine the capabilities, strengths, and weaknesses of different types of detection and investigation solutions.
Key decision criteria covered in this whitepaper
Detection of suspicious networks
Ability to adapt rules to changing needs
Integration with third-party tools
How to evaluate the cost of ownership
Data exploration performance and user experience