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Description
The volume of data associated with your organization is increasing at an unprecedented rate. Regrettably, this surge is accompanied by a rise in the fragmentation of that data. To achieve a comprehensive and current understanding of your customers, it is essential to integrate all information and ensure it is easily accessible, which presents a significant challenge. Over time, organizations often gather vast amounts of information, leading to data sets that can become disorganized or even difficult to trace. Invenna's Customer Data Platform effectively dismantles data silos, providing you with command over all incoming and outgoing data flows. With a team of analysts, data engineers, data scientists, and consultants, Invenna has extensive experience in managing customer insights across various industries. Through Invenna Engage, you can effortlessly connect with your customers via both online and offline channels, creating campaigns with remarkable ease. By utilizing triggers or events, you can address the specific needs of each customer in real-time, enhancing engagement and satisfaction. Embracing this integrated approach not only streamlines your operations but also elevates your overall customer experience.
Description
Utilizing graph analytics throughout the customer lifecycle can help uncover hidden risks and unveil unexpected opportunities. Conventional Master Data Management (MDM) solutions struggle to accommodate the vast amounts of distributed and diverse data generated from various applications and external sources. The traditional methods of probabilistic matching in MDM are ineffective when dealing with siloed data sources, leading to missed connections and a lack of context, ultimately resulting in poor decision-making and uncapitalized business value. An inadequate MDM solution can have widespread repercussions, negatively impacting both the customer experience and operational efficiency. When there's no immediate access to comprehensive payment patterns, trends, and risks, your team’s ability to make informed decisions swiftly is compromised, compliance expenses increase, and expanding coverage becomes a challenge. If your data remains unintegrated, it creates fragmented customer experiences across different channels, business sectors, and regions. Efforts to engage customers on a personal level often fail, as they rely on incomplete and frequently outdated information, highlighting the urgent need for a more cohesive approach to data management. This lack of a unified data strategy not only hampers customer satisfaction but also stifles business growth opportunities.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
CanopyDeploy
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
CanopyDeploy
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce
Pricing Details
€2,500 per month
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
Invenna
Founded
2021
Country
Netherlands
Website
invenna.nl/en/platform/features
Vendor Details
Company Name
Quantexa
Founded
2016
Country
United Kingdom
Website
www.quantexa.com
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Product 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