Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Agile Data Manager, developed by Goldright, serves as a robust Master Data Management platform that transforms crucial business data from disparate sources into organized, validated, and centrally accessible assets, establishing a unified source of truth for the entire organization. This solution effectively centralizes, cleans, and oversees data across various domains using a single adaptable data model, which merges all data versions into a reliable base that ensures complete data integrity. It meticulously tracks data lineage from start to finish, and its timestamped history supports point-in-time reporting while minimizing the need for manual input. Governance based on user roles facilitates centralized control over data ownership and compliance, and the integrated Business Process Engine (BPMN) streamlines data workflows through automation. Furthermore, an AI-powered assistant within the platform can respond to questions posed in natural language, and customizable APIs allow for seamless bidirectional integration with ERP, CRM, and BI systems. By providing clean and governed data, this platform lays a solid groundwork for training artificial intelligence models and supports the implementation of GenAI applications, ultimately enhancing business intelligence and decision-making capabilities. This comprehensive approach not only streamlines processes but also empowers organizations to leverage their data more effectively.
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
Screenshots View All
No images available
Integrations
Goldright Enterprise Suite
Yes
Goldright Identity Manager
Yes
Goldright Legal Entity Manager
Yes
Goldright Organizational Data Manager
Yes
Model Context Protocol (MCP)
Yes
SAP ERP
No
SAP HANA
No
Integrations
Goldright Enterprise Suite
No
Goldright Identity Manager
No
Goldright Legal Entity Manager
No
Goldright Organizational Data Manager
No
Model Context Protocol (MCP)
No
SAP ERP
Yes
SAP HANA
Yes
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
Yes
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
Yes
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
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Goldright GmbH
Country
Austria
Website
goldright.com/en/solutions/agile-data-manager
Vendor Details
Company Name
zetVisions
Founded
2001
Country
Germany
Website
www.zetvisions.de/software/stammdatenmanagement
Product Features
Master Data Management
Data Governance
Yes
Data Masking
Yes
Data Source Integrations
Yes
Hierarchy Management
Yes
Match & Merge
Yes
Metadata Management
Yes
Multi-Domain
Yes
Process Management
Yes
Relationship Mapping
Yes
Visualization
Yes
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