The key to maintainable data governance and some other hierarchical exertion for which information is critical to the result. Data Catalog mechanizes data mapping, enterprise metadata management, data cataloging, data profiling, code generation, and data lineage. Effectively coordinate and enact your information in a solitary, brought-together data catalog in accordance with policies and procedures. With living metadata management, users can perform reliable analytics on data and can improve conclusions about changes and enhancements
Erwin Pricing
Detailed pricing for Erwin Data Intelligence has not been disclosed, but it is in line with leading competitors in the market. Most software companies and vendors require you to contact them with details so they can offer competitive personalized pricing based on your needs. For the best pricing plans, contact the vendor.
Erwin Demo
To know the Erwin Data Intelligence, Erwin Data Literacy, and Erwin Data Catalog software better, the users can have a look at the website. For more information and a demo, the users can drop a request at the site and get across the demo soon.
Features
- Common Metamodel - Erwin Data Intelligence solution depends on a common metamodel that is open, extensible, and goes with a full set of APIs. A broader list of standard data connectors is used for automated collecting, refreshing, and version-controlled metadata management. Data Connector offers the fastest and most accurate path to data lineage, impact analysis, and other detailed graphical connections.
- Automate a curated enterprise data catalog - Erwin Data Intelligence understand technology, data architectures, and the relationships between them and create and automate a curated enterprise data catalog complete with physical assets, data models and movement, data quality, and on-demand data lineage.
- Driving digital innovation - Erwin metadata management solution can find out, design, visualize and deploy high-quality data assets through an intuitive, graphical interface. Erwin promotes digital transformation by improving digital operations, and overcoming the inherent complexities like application rationalization, migrating to the cloud, and implementing Big Data.