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Ratings and Reviews 0 Ratings
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D&B Credit InsightsD&B Credit Insights delivers a powerful credit management platform designed to help businesses of all sizes understand and improve their credit profiles with confidence. The platform offers unlimited access to your Dun & Bradstreet credit file, showcasing important scores such as PAYDEX®, Delinquency, Failure Score, Supplier Evaluation Risk, and more, updated in real time. You receive instant alerts on changes to your credit scores and important legal events including liens, judgments, and lawsuits, allowing you to address potential risks swiftly. Detailed insights into payment histories and financial ratios provide a comprehensive view of your company’s credit health. The solution includes benchmarking tools that compare your scores against industry peers, helping you set and achieve realistic credit objectives. For added security, upper-tier subscriptions offer dark web monitoring for your business email addresses, alerting you to possible cyber threats. The platform also allows you to upload financial documents and bank statements to enrich your credit file. Integrated banking data powered by Plaid simplifies monitoring your company’s payment trends. Businesses use D&B Credit Insights to foster stronger relationships with lenders, suppliers, and investors through transparent, trustworthy credit information. Backed by Dun & Bradstreet’s extensive data network and financial expertise, this tool helps you plan strategically for growth while mitigating financial risks.
What is SAS Financial Crimes Analytics?
SAS Financial Crimes Analytics serves as a cloud-driven platform aimed at bolstering Anti-Money Laundering (AML) efforts by utilizing artificial intelligence and machine learning to streamline compliance operations. This groundbreaking solution enables financial organizations to more efficiently detect and prevent financial crimes while reducing the occurrence of false positives, automating investigations, and improving overall detection efficacy. Users benefit from features that facilitate data exploration and visualization, allowing for easy importing, transforming, and integrating of data through a user-friendly drag-and-drop interface. Moreover, it accelerates the deployment of analytical models via automated processes, making it suitable for both batch processing and real-time applications. The system integrates effortlessly with existing transaction monitoring frameworks, eliminating the need for major revisions to current AML systems. In addition, it harnesses sophisticated analytical tools, including network and text analytics, to deliver a thorough understanding of risk factors, enabling institutions to stay responsive to the changing dynamics of financial crime threats. This comprehensive strategy not only enhances compliance measures but also fortifies the institution’s overarching risk management framework, ensuring better protection against emerging risks. Ultimately, SAS Financial Crimes Analytics represents a pivotal advancement in the fight against financial crime, equipping institutions with the necessary tools to navigate an increasingly complex environment.
What is Google Cloud Anti Money Laundering AI?
Google Cloud’s Anti Money Laundering AI (AML AI) presents an advanced solution tailored to enhance the detection and prevention of money laundering within financial organizations. Leveraging machine learning algorithms that are specifically adapted to an institution’s unique data, AML AI serves to either supplant or augment traditional rules-based transaction monitoring systems, resulting in a more comprehensive and accurate assessment of potential risks. This groundbreaking approach has shown the capability to identify roughly 2 to 4 times more validated suspicious activities while reducing false positives by over 60%, thereby allowing compliance teams to focus their efforts on high-risk and actionable alerts. The platform not only produces explainable risk scores but also provides detailed analyses of essential risk indicators, simplifying the interpretation process for analysts, risk managers, and auditors. Additionally, AML AI adheres to model governance standards to ensure strict compliance, and it has been adopted as a primary transaction monitoring system across various regions, further emphasizing its significance within the financial landscape. As financial institutions increasingly seek efficient compliance solutions, AML AI emerges as an indispensable asset in their fight against money laundering, ultimately contributing to a more secure financial system. With its innovative features and adaptability, AML AI continues to redefine compliance strategies within the sector.
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SAS
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en_us/software/financial-crimes-analytics.html
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/anti-money-laundering-ai
Categories and Features
AML
Not specified
Financial Risk Management
Not specified
Categories and Features
AML
Not specified
Artificial Intelligence
Not specified