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Description
SAS Financial Crimes Analytics is a cloud-based solution designed to enhance Anti-Money Laundering (AML) initiatives by leveraging artificial intelligence and machine learning to operationalize compliance efforts. This innovative platform empowers financial institutions to more effectively identify and thwart financial crimes by minimizing false positives, automating the investigative process, and enhancing overall detection capabilities. With features that simplify data exploration and visualization, users can easily import, transform, and integrate data using an intuitive drag-and-drop interface. Additionally, it streamlines the swift operationalization of analytical models through automated methods, facilitating efficient deployment in both batch and real-time scenarios. The solution seamlessly integrates with existing transaction monitoring systems, negating the necessity to overhaul current AML frameworks. Furthermore, it employs advanced analytics tools, such as network and text analytics, to provide a comprehensive understanding of risk factors, ultimately allowing institutions to adapt to the evolving landscape of financial crime threats. This holistic approach not only improves compliance but also strengthens the institution’s overall risk management strategy.
Description
Tookitaki Anti-Money-Laundering Solutions: Adding power to your Compliance Lens Reduces false alarms by at least half for transaction monitoring programs. Reduces false alarms by at least 60% in screening programs. Reduces risk by increasing detection of true suspicious cases (SAR/STR), by 5%. Alerts are prioritized and handled more efficiently. Continuous automatic learning ensures high detection coverage in the face of growing data and changing regulations. Complex machine learning models and their outcomes are explained in an easy-to understand manner. Integration to existing and future up/downstream systems of the FI is easy with built-in connectors. Transaction Monitoring: We provide secondary scoring for the transaction monitoring process. Our semi-supervised approach is based on our proprietary semi-supervised method. It combines multi-dimensional unsupervised methods, network analysis, and supervised learning.
API Access
Has API
API Access
Has API
Integrations
SAS Anti-Money Laundering
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/financial-crimes-analytics.html
Vendor Details
Company Name
Tookitaki
Founded
2014
Country
Singapore
Website
www.tookitaki.com
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List