MetadataWorks

MetadataWorks is a next-generation unified Metadata Catalogue designed to empower decisions with trusted data. According to the vendor, it simplifies the search for data, curates metadata, shares knowledge, and manages data, making it easy to use and discover. MetadataWorks is suitable for businesses of all sizes and is particularly beneficial for data scientists, government organizations, healthcare organizations, research institutions, and those involved in genomics and genetics analysis.

Key Features

Simplify the search for data: MetadataWorks provides a customer-centric search engine for data, aiming to ensure simple, secure, and speedy data access. The vendor claims that it aims to reduce the burden and time to value by streamlining the data search process.

Curate Metadata: According to the vendor, MetadataWorks aims to help users easily discover, access, and understand data. It is said to automate labor-intensive tasks and assist data scientists in spending less time searching for data, allowing them to focus on analysis and insights.

Share Knowledge: The platform aims to improve the discovery and display of datasets, creating a shop window for datasets. It is claimed to enhance data discovery and accessibility, making it easier for users to find and access relevant information.

Manage Data: MetadataWorks aims to simplify data search and improve data curation and metadata management. It is designed to streamline data management processes, aiming to ensure efficient and effective handling of data assets.

Make your data easy to use: According to the vendor, MetadataWorks aims to empower decisions with trusted data. It offers a next-generation unified Metadata Catalogue that provides reliable and accurate information. The vendor claims that with MetadataWorks, users can discover more and search less, enabling them to make informed decisions.

Catalogue: MetadataWorks offers an intuitive user experience with a simple and flexible pricing structure. According to the vendor, it is built on proven and peer-reviewed data models, aiming to ensure reliability and consistency.

Standardise: The platform aims to ensure consistent and standardized data quality. It supports data definitions and processes, aiming to help organizations maintain data quality and standardization across their operations.

Define: MetadataWorks serves as an onboarding platform for managing datasets. It enables effective management of over 500 datasets and provides deep expertise to ensure smooth data management processes.

Transform: According to the vendor, MetadataWorks aims to make data management immersive and engaging through gamification. The platform is said to unleash the power of play in data governance, aiming to make it an enjoyable and productive experience.

Derive: MetadataWorks aims to apply data provenance to provide context and credibility. The vendor emphasizes the importance of context and credibility in data provenance, enabling users to create vibrant and reliable data provenance.