Open Data Discovery (ODD) is a comprehensive platform engineered to transform data governance, merging discovery, management, and collaboration within a unified system. It provides data teams with an integrated suite of features to ensure that data assets are accessible, reliable, and utilized to their full potential.

Current Features:

Data Discovery: ODD streamlines the process of finding and understanding data, delivering a clear map of assets, complete with metadata, all within a singular platform.

Data Lineage: The platform's Data Lineage capability offers insight into the life cycle of data, documenting its flow, transformations, and dependencies for better clarity and governance.

Data Quality: ODD ensures that the quality of data is never compromised, offering tools for maintaining accuracy and consistency, crucial for informed decision-making.

Data Glossary: A centralized Data Glossary demystifies data terminology, ensuring everyone across the organization has a uniform understanding of data-related terms.

Roadmap Features:

ODD is also looking to the future, with several exciting features in development:

Data Security: A forthcoming Data Security feature will establish rigorous access controls and policy compliance to protect sensitive data assets.

Data Modeling: The planned Data Modeling tools will allow for the creation of structured data frameworks, enhancing data integrity and consistency.

Data Cost: To help manage the economics of data, ODD is developing a feature to track and optimize the expenses tied to data storage and processing.

Master Data: Also in the works is a Master Data Management feature that will anchor transactional and analytical processes to a centralized core of data elements. Reference Data Management is considered to be a subdomain of Master Data Management in this context.