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What is zetVisions SPoT?

Master data encompasses the essential and stable reference information associated with key business entities such as customers, products, suppliers, and employees. The zetVisions SPoT functions as an intelligent data steward, facilitating the upkeep of a dependable database while helping you achieve your goals more efficiently. The advantages of SPoT are not limited to just the migration phase; they continue to provide benefits well into the post-migration stage, guaranteeing lasting value. This platform promotes effective operations and enhanced data governance, making it easier to align with internal policies regarding data entry, approval, and maintenance. By adopting SPoT, organizations can maintain superior data quality and consistently improve compliance with their internal standards. Furthermore, this cutting-edge solution allows your team to concentrate on more strategic initiatives, freeing them from the burdens of managing data-related challenges. Ultimately, SPoT not only streamlines processes but also fosters a culture of data excellence across the organization.

What is OpenDQ?

OpenDQ offers an enterprise solution for data quality, master data management, and governance at no cost. Its modular architecture allows it to adapt and expand according to the specific needs of your organization's data management strategies. By leveraging a framework powered by machine learning and artificial intelligence, OpenDQ ensures the reliability of your data. The platform encompasses a wide range of features, including: - Thorough Data Quality Assurance - Advanced Matching Capabilities - In-depth Data Profiling - Standardization for Data and Addresses - Master Data Management Solutions - A Comprehensive 360-Degree View of Customer Information - Robust Data Governance - An Extensive Business Glossary - Effective Meta Data Management This makes OpenDQ a versatile choice for enterprises striving to enhance their data handling processes.

Media

Media

Integrations Supported

Amazon Kinesis
Amazon S3
Apache Cassandra
Apache HBase
Apache Kafka
Apache Solr
Atom
Azure API Management
Elasticsearch
Google Analytics
Google Calendar
Google Cloud BigQuery
Microsoft Entra ID
MongoDB
SAP ERP
SAP HANA

Integrations Supported

Amazon Kinesis
Amazon S3
Apache Cassandra
Apache HBase
Apache Kafka
Apache Solr
Atom
Azure API Management
Elasticsearch
Google Analytics
Google Calendar
Google Cloud BigQuery
Microsoft Entra ID
MongoDB
SAP ERP
SAP HANA

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0
Free Trial Offered?
Free Version

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

zetVisions

Date Founded

2001

Company Location

Germany

Company Website

www.zetvisions.de/software/stammdatenmanagement

Company Facts

Organization Name

Infosolve Technologies, Inc

Date Founded

2003

Company Location

United States

Company Website

www.infosolvetech.com

Categories and Features

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

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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