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What is erwin Data Catalog?

Quest's erwin Data Catalog serves as an influential asset for metadata management, aiding organizations in comprehensively understanding both the nature and location of their data assets, which includes both static and dynamic datasets. This tool offers valuable insights into the data and associated metadata relevant to specific subjects, allowing users to efficiently identify pertinent sources and resources for thorough analysis and sound decision-making. By automating the processes of gathering, integrating, activating, and governing enterprise data according to business requirements, the erwin Data Catalog not only boosts accuracy but also accelerates the benefits gained from data governance efforts and digital transformation initiatives, which may include projects related to data warehouses, data lakes, data vaults, and cloud migrations. Proper management of metadata is vital for achieving long-term data governance success and is fundamental for any initiative that relies on data to achieve favorable results. The erwin Data Catalog enhances a variety of functions, such as enterprise metadata management, data mapping, cataloging, code generation, data profiling, and tracking data lineage, ultimately leading to improved efficiency in overall data management practices. Consequently, organizations are empowered to leverage their data more effectively, paving the way for strategic advantages and superior operational performance, thereby setting the stage for future growth and innovation.

What is Quest Trusted Data Management Platform?

The Quest Trusted Data Management Platform functions as a robust, SaaS-based solution aimed at delivering dependable, AI-ready data across an entire organization. It encompasses a wide range of essential features that cover the complete data lifecycle, beginning with modeling and cataloging, and extending to governance, quality assurance, marketplace access, and the creation of production-ready data products. Teams can effectively create and manage conceptual, logical, and physical models through the Data Modeling feature, while the Data Catalog serves as a centralized resource for discovering, understanding, classifying, and monitoring data assets. Furthermore, Data Governance is instrumental in overseeing policies, ensuring adherence to regulations, managing stewardship workflows, and applying role-based controls throughout the various stages of data handling. The importance of Data Quality tools cannot be understated, as they are crucial for proactively identifying, evaluating, and correcting data issues to avert problems later in the process. In addition, the Data Marketplace allows users to investigate available assets, request access, track usage, and engage with data contracts, which significantly boosts collaboration and efficiency in data management. This platform ultimately not only simplifies data processes but also enhances the overall significance of data within the organization, paving the way for more informed decision-making. By leveraging these features, enterprises can unlock the full potential of their data assets and drive innovation.

Media

Media

Integrations Supported

IRI DMaaS
IRI FieldShield
IRI Voracity
Safyr

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Quest Software

Date Founded

1987

Company Location

United States

Company Website

www.erwin.com/products/erwin-data-catalog/

Company Facts

Organization Name

Quest Software

Date Founded

1987

Company Location

United States

Company Website

www.quest.com/data-management-platform

Categories and Features

Data Catalog

Not specified

Categories and Features

Data Management

Not specified

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