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Ratings and Reviews 0 Ratings
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SkillcastWhen the cost of getting compliance wrong can include fines, regulatory action, legal liability, and reputational harm, completion rates alone aren't enough. Compliance, HR, and L&D leaders need evidence that their programmes are changing behaviour and reducing risk, yet many organisations still rely on outdated tick-box training or inadequately governed AI-generated content. That's why more than 1,400 organisations trust Skillcast. For over 25 years, we've combined compliance expertise, AI-powered technology, and rigorous human oversight to help organisations: - Centralise compliance learning, policies, disclosures, and registers. - Increase engagement through personalised learning pathways. - Strengthen governance with policy attestations and disclosure management. - Maintain audit-ready records and compliance reporting. - Provide instant AI-powered guidance grounded in trusted business content. - Seamlessly edit our expert courses using AI without sacrificing oversight. - Deploy solutions that are off-the-shelf, configurable, or fully bespoke. The result is reduced risk, stronger compliance cultures, improved employee decision-making, and confidence that your organisation is meeting its regulatory obligations with a partner that understands what's at stake.
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What is Quantexa?
Leveraging graph analytics during the entirety of the customer journey can reveal concealed risks and highlight unforeseen opportunities. Traditional Master Data Management (MDM) systems often find it difficult to handle the extensive and varied data produced by numerous applications and external entities. The outdated techniques for probabilistic matching employed in MDM fall short when confronted with isolated data sources, which results in overlooked connections and insufficient context, ultimately impairing decision-making and leaving business potential untapped. An ineffective MDM framework can lead to far-reaching consequences, detrimentally affecting both customer interactions and operational productivity. Without prompt access to thorough insights regarding payment behaviors, emerging trends, and potential risks, your team's capacity to make quick, informed choices is hindered, leading to increased compliance costs and challenges in broadening your reach. When data is not integrated efficiently, it fosters disjointed customer experiences across various channels, sectors, and regions. Efforts aimed at engaging customers on a personal level frequently miss the mark due to reliance on incomplete and often outdated data, underscoring the critical necessity for a more unified approach to data management. This absence of a comprehensive data strategy not only diminishes customer satisfaction but also constrains avenues for business expansion and innovation. Ultimately, a robust MDM system is essential for fostering a seamless customer experience and driving sustainable growth in today’s competitive landscape.
What is Eastnets PaymentGuard?
Utilizing an extensive analysis of historical data, PaymentGuard effectively detects and prevents fraudulent transactions. The platform harnesses sophisticated machine learning algorithms to scrutinize a vast array of customer data, including transaction specifics, device details, and geographical information, which facilitates the recognition of both existing and emerging fraud trends. By identifying these trends, the system is capable of predicting potential threats in real-time and promptly dispatching alerts that can be addressed through a user-friendly case management interface. This capability allows for the swift evaluation, forecasting, and disruption of any dubious payment activities without causing delays. PaymentGuard boasts a wide-ranging and regularly updated library of threat models that significantly improve the accuracy of fraud detection. Its intuitive case management system equips investigators with the tools necessary to respond to fraud incidents quickly and efficiently. In an ever-evolving industry, we strive to keep you ahead of the curve. Our dedication to pioneering technologies such as Blockchain, artificial intelligence, and cloud computing further strengthens the security and progression of our services, ensuring they meet your evolving requirements. Furthermore, our proactive strategy in technology integration guarantees that our clients are well-prepared to navigate the constantly shifting terrain of payment fraud prevention, enabling them to maintain a robust defense against emerging threats.
Integrations Supported
Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce
Integrations Supported
Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour 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
Quantexa
Date Founded
2016
Company Location
United Kingdom
Company Website
www.quantexa.com
Company Facts
Organization Name
Eastnets
Company Location
United States
Company Website
www.eastnets.com/products/paymentguard
Categories and Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Categories and Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval