Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ON EBX is a multi-domain master data management platform designed to help enterprises organize, govern, and maintain consistent information across complex data environments. The software consolidates master data, reference data, and metadata from fragmented systems into a centralized foundation for business operations, analytics, and AI applications. Its model-driven architecture enables organizations to create and modify data structures without being restricted to rigid, predefined data models. Built-in data quality capabilities use validation rules, governance workflows, and lifecycle controls to improve accuracy and reduce manual reconciliation. ON EBX also enriches enterprise information with relationships, hierarchies, and business rules that provide additional context for downstream applications. Customer 360 capabilities help organizations establish consistent customer records and improve visibility across business functions. Product and supplier data management features support accurate product information, supplier governance, and coordination across enterprise processes. Reference data management helps standardize shared classifications, codes, and other common information used by multiple systems. ON EBX supports financial services, healthcare, retail, manufacturing, and other data-intensive industries that require governed enterprise information for operational efficiency, regulatory oversight, analytics, and AI initiatives.
Description
Master data refers to the unchanging fundamental information or reference data that pertains to important business entities such as products, suppliers, customers, and employees. zetVisions SPoT acts as a smart data steward, enabling you to maintain a reliable database and assisting you in achieving your objectives more swiftly. The benefits of SPoT extend not only to the migration phase but also to the post-migration period, ensuring ongoing advantages. This system fosters seamless operation and superior data governance, allowing you to adapt more easily to internal company policies concerning data entry, approval, and maintenance. By implementing SPoT, you can sustain high data quality and enhance compliance with your organizational standards consistently. Additionally, this innovative solution empowers your team to focus more on strategic tasks rather than being bogged down by data management issues.
API Access
Has API
No
API Access
Has API
No
Integrations
SAP ERP
No
SAP HANA
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Cloud Software Group
Country
United States
Website
www.onebx.com
Vendor Details
Company Name
zetVisions
Founded
2001
Country
Germany
Website
www.zetvisions.de/software/stammdatenmanagement
Product Features
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No
Product Features
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No