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 The outdated techniques for probabilistic matching employed in MDM fall short when confronted with isolated data sources, which results in overlooked connections and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aimed at engaging customers on a personal level frequently miss the mark due to reliance on incomplete and often outdated data, underscoring the critical necessity for a more unified approach to data management.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

The volume of data linked to your organization is growing at an unparalleled speed. Unfortunately, this rapid increase is also leading to greater data fragmentation. To gain a holistic and up-to-date insight into your customers, it is crucial to merge all information and make it readily available, which poses a considerable challenge. As organizations accumulate extensive information over time, they often end up with disorganized data sets that can be challenging to manage or even locate. Invenna's Customer Data Platform adeptly breaks down these data silos, giving you control over both incoming and outgoing data streams. With a proficient team of analysts, data engineers, data scientists, and consultants, Invenna possesses a wealth of experience in handling customer insights across multiple sectors. Through Invenna Engage, you can seamlessly connect with your customers through both digital and traditional channels, simplifying campaign creation significantly. By leveraging triggers or events, you can respond to the unique requirements of each customer in real-time, thereby boosting engagement and satisfaction. Adopting this integrated strategy not only optimizes your operations but also enhances the overall experience your customers have with your brand. This commitment to a unified data approach is vital for staying competitive in today's data-driven landscape.

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

CanopyDeploy

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

€2,500 per month

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Quantexa

Date Founded

2016

Company Location

United Kingdom

Company Website

www.quantexa.com

Company Facts

Organization Name

Invenna

Date Founded

2021

Company Location

Netherlands

Company Website

invenna.nl/en/platform/features

Categories and Features

AML

Not specified

Fraud Detection

Not specified

RegTech

Not specified

Categories and Features

AML

Not specified

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