Accurity features

Experience the convenience of Accurity’s connector designed specifically for Snowflake databases, enabling synchronization and profiling. Establish business data lineage from the data catalog created over Snowflake to your business glossary or business data model.

With the addition of technical mappings now viewable in diagram format, accessing detailed visual representations is effortless. These diagrams integrate with automated technical data lineage tools, providing a comprehensive overview of your data ecosystem right within Accurity. Visualize, analyze, and comprehend your documented technical data lineage with Accurity.

Define reference types for 'referenced business terms' in data structures and fields, visible directly on the lineage diagram, elevating your understanding of business data lineage. Explore novel relationships between technical and business spheres. Define with precision whether it's a simple relation, and you refer just to the data storage of the business term.

Extending a visually improved representation of how your entities and attributes interact with your data catalog. Now, you can enjoy a comprehensive view of your data lineage modeling efforts, displaying your mappings in a clean and intuitive diagram. No more sifting through complex lists – let Accurity bring your data lineage to life.

Users, such as data stewards, can improve their efficiency by no longer manually creating and updating data catalogs. They can now automate data discovery between the data catalog and a data source to update metadata automatically and quickly. Increase the trust in the whole data catalog by utilizing this feature to display changes that occur in the data source and propose their synchronization in the data catalog. 

An update to our data profiling feature specifically to allow users the ability to profile uncommon databases such as the cloud database Google BigQuery and the NoSQL database MongoDB.

Get a visual diagram (process map) of data lineage between business processes and the data catalog. Use the perspective of your company’s data that is important to the user e.g., processes, data assets, business terms, entities, or attributes.

Get a visualization of traceability that helps you to understand the logic of metric calculation. This diagram, similar to data lineage, presents a tree that looks beyond the relationship of two business terms via a third layer.

Save time, and the associated cost, of making changes that will need to be applied to many objects at once. Make bulk updates to any number of objects simultaneously, including adding or removing tags, turning on and off notifications, and deletion.

Allows users to tap into real data from the data field level of the data catalog and display statistical information (data profile) about them. Use the information gained from this data profile as an inspiration when creating rules for measuring data quality.