Finnish Firms Tap into Financial Crime Data Analytics
A New Era in Financial Crime Prevention
In a bid to stay ahead of financial crime, Finnish companies are increasingly turning to advanced data analytics tools. These cutting-edge technologies provide businesses with the ability to make fast, data-backed decisions without having to replace existing anti-financial crime systems.
Key Features Driving this Trend
- Easy Data Exploration and Visualization: Import your own data, build and run transformations, and augment and join data within an integrated visual pipeline of activities using a simple drag-and-drop interface.
- Operationalization of Analytical Models: Register, validate, track, monitor, and retrain analytical models in just a few clicks - both in batch and real-time.
- Seamless Integration with Existing Systems: Advanced data management and powerful in-memory capabilities work with current anti-money laundering solutions.
Benefits of Financial Crime Data Analytics
Enhanced Decision-Making
- Visual exploration and evaluation of segments for further analysis using advanced machine learning techniques.
- Build and refine predictive models to target specific groups or segments.
- Run numerous what-if scenarios simultaneously and process results for each group or segment.
Intelligent Customer Segmentation and Entity Resolution
- Perform intelligent customer segmentation, entity resolution, and scenario threshold tuning with above-the-line/below-the-line testing.
- Generate more productive alerts and identify “true positives.”
- Optimize overall transaction monitoring processes.
Finland’s Leadership in Financial Crime Data Analytics
Finland’s commitment to innovation in financial crime data analytics has positioned the country at the forefront of this emerging trend. As businesses continue to explore these cutting-edge technologies, it will be interesting to see how they adapt to the changing landscape of financial crime prevention.