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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 The outdated techniques for probabilistic matching employed in MDM fall short when confronted with isolated data sources, which results in overlooked connections and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aimed at engaging customers on a personal level frequently miss the mark due to reliance on incomplete and often outdated data, underscoring the critical necessity for a more unified approach to data management.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 DCS AML?

DCS serves as a powerful solution for addressing issues related to money laundering and the financing of terrorism. By incorporating Artificial Intelligence, DCS empowers your organization to identify and analyze suspicious activities with remarkable efficiency and accuracy. This advanced technology not only enhances detection capabilities but also streamlines compliance processes, ensuring greater security for financial operations.

Media

Media

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

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
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

Dixtior

Date Founded

2013

Company Location

Portugal

Company Website

dcsaml.com

Categories and Features

AML

Not specified

Fraud Detection

Not specified

RegTech

Not specified

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

Not specified

RegTech

Not specified

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