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What is Senzing?

Senzing® offers a cutting-edge entity resolution API software that stands out for its affordability, user-friendliness, and powerful data matching and relationship detection features. With this software, you can seamlessly and automatically identify and resolve records concerning individuals, organizations, and their connections in real time as fresh data enters the system. The comprehensive and highly precise insights provided by Senzing can help lower operational costs while simultaneously opening up avenues for new revenue streams. Senzing's libraries are versatile and can be implemented on-site or in cloud environments, tailored to fit your specific architectural and environmental needs. Importantly, all data remains within your own system and is never transmitted to Senzing, Inc. The software requires very little data preparation, eliminating the need for tuning, training, or specialized entity resolution experts. Additionally, a complimentary proof of concept can be executed in approximately six hours on either AWS or bare metal, and you can experiment with the Senzing API for free on up to 100,000 records. This makes it an attractive option for businesses looking to enhance their data management capabilities without significant upfront investment.

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

AWS CloudFormation
Amazon RDS
Amazon Simple Queue Service (SQS)
Apache Kafka
Docker
Elasticsearch
Google Cloud Platform
IBM Db2
MariaDB
Microsoft Azure
MySQL
Neo4j
Oracle Database
PostgreSQL
RabbitMQ
SQL Server
SQLite

Integrations Supported

CanopyDeploy

API Availability

Has API

API Availability

Pricing Information

Free evaluation up to 100K records or more on request. Production pricing starts at $37,440 /year for 10M records.
Free Version

Pricing Information

€2,500 per month

Supported Platforms

On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Senzing

Date Founded

2016

Company Location

United States

Company Website

senzing.com

Company Facts

Organization Name

Invenna

Date Founded

2021

Company Location

Netherlands

Company Website

invenna.nl/en/platform/features

Categories and Features

AML

Case Management
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Customer Data Platforms (CDP)

Data Integration
Data Matching
GDPR Compliance

Data Analysis

Data Discovery

Data Deduplication

Not specified

Data Fabric

Data Analytics

Data Matching

Not specified

Identity Resolution

Not specified

Master Data Management

Data Source Integrations
Match & Merge
Relationship Mapping

Categories and Features

AML

Not specified

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