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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Master Data Management serves as a centralized repository for your international tax and legal entity information, ensuring that the system is both integrated and up-to-date for maximum reliability. It enhances the efficiency of reporting and essential operational workflows that depend on comprehensive legal entity data while allowing for centralized data governance and access control, which ultimately saves time and minimizes potential errors. The platform’s adaptability, featuring real-time calculations and a detailed history of ownership values along with other significant attributes, facilitates smoother reporting and modeling, leading to improved analytical capabilities throughout your organization. With the inclusion of multi-factor authentication and adaptable access controls, you can customize security measures to fit your specific requirements, enabling the use of a unified tool across various functions that need on-demand access to the same information. This system is meticulously designed to cater to the unique requirements of tax, corporate secretarial, and legal departments, ensuring they have the resources necessary for success. Moreover, by consolidating data management into one system, organizations can achieve greater transparency and responsiveness in their operations.

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

Screenshots View All

No images available

Integrations

Amazon Web Services (AWS) No 
Databricks No 
Google Cloud Platform No 
Microsoft Fabric No 
Own Data Yes 
Snowflake No 

Integrations

Amazon Web Services (AWS) Yes 
Databricks Yes 
Google Cloud Platform Yes 
Microsoft Fabric Yes 
Own Data 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 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 Yes 
Linux Yes 
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 No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

PwC

Founded

1998

Country

United Kingdom

Website

www.pwc.com/us/en/products/master-data-management.html

Vendor Details

Company Name

Zingg Labs, Inc

Founded

2021

Country

United States

Website

www.zingg.ai/

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 

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 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 

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