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
Zingg is an open-source platform designed for Master Data Management, tailored for contemporary data warehousing needs. By leveraging machine learning for scalable entity resolution, it removes the reliance on costly and inflexible MDM solutions.
Seamlessly integrated with Databricks, Microsoft Fabric, Snowflake, AWS, and GCP, Zingg empowers data teams to create a cohesive and reliable view of customers, suppliers, and products directly within their existing data environments.
With a persistent Zingg ID, golden records are consistently upheld across various systems and data sources, ensuring data integrity and accessibility. Moreover, Zingg's innovative approach simplifies the management of master data, allowing organizations to focus on data-driven decision-making.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
No
Databricks
No
Goldright Enterprise Suite
Yes
Goldright Identity Manager
Yes
Goldright Legal Entity Manager
Yes
Goldright Organizational Data Manager
Yes
Google Cloud Platform
No
Microsoft Fabric
No
Model Context Protocol (MCP)
Yes
Snowflake
No
Integrations
Amazon Web Services (AWS)
Yes
Databricks
Yes
Goldright Enterprise Suite
No
Goldright Identity Manager
No
Goldright Legal Entity Manager
No
Goldright Organizational Data Manager
No
Google Cloud Platform
Yes
Microsoft Fabric
Yes
Model Context Protocol (MCP)
No
Snowflake
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Contact For Pricing
Free Trial
No
Free Version
Yes
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
Yes
Linux
Yes
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
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Goldright GmbH
Country
Austria
Website
goldright.com/en/solutions/agile-data-manager
Vendor Details
Company Name
Zingg Labs, Inc
Founded
2021
Country
United States
Website
www.zingg.ai/
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
Yes
Data Masking
No
Data Source Integrations
Yes
Hierarchy Management
Yes
Match & Merge
Yes
Metadata Management
Yes
Multi-Domain
Yes
Process Management
Yes
Relationship Mapping
Yes
Visualization
Yes