Enterprise data visibility is the foundation for sustainable data and AI governance, data platform and pipeline modernization, or any organizational effort to maximize the accessibility and value of data for the business. But to practically deliver enterprise data visibility, automation is critical. erwin Data Catalog fueled with erwin Data Connectors automates metadata harvesting and management, data mapping, data quality assessment, data lineage and more for IT teams. Software benefits include:
Automatically harvest, catalog and curate data-at-rest and data-in-motion metadata from anywhere into one unified enterprise metadata catalog.
Pair metadata with automation to fuel data management capabilities such as producing data lineage, performing impact analysis and assessing data quality.
Put data governance at the forefront for IT teams with integrated visibility of data-related policies and procedures.
Leverage metadata to automate data profiling and quality assessment, and expand data quality visibility throughout the organization.
Minimize data risks and support IT audits and regulatory compliance with clear visibility of data sensitivity and integrated governance processes.
Increase the speed and accuracy of data pipelines and digital transformation projects including cloud migration, data warehouse, data lake, data vault and Big Data deployments.
Give all stakeholders the visibility to understand, manage, protect and best leverage data across the organization.
Unite data catalog automation, data modeling and a data marketplace to go from model to marketplace and efficiently deliver data products to the business.
Curate any metadata from anywhere with full versioning and change management, reducing expensive manual tasks and rework.
An easily configurable dashboard provides high-level visibility of key data cataloging metrics with drill-down access to the details needed to act, manage and protect.
Schedule ongoing metadata harvesting from the widest array of sources, including reference data and code sets.
Use our drag-and-drop approach for easy source-to-target mappings to eliminate spreadsheets and the errors that come with them, reducing mapping time and costs by up to 80%.
Archive and baseline all mapping documentation and view change-comparison reports with built-in versioning and change control.
Categorize sensitive data elements, complete with a sensitive-data dashboard, and drill down into this type of data across the enterprise.
Generate end-to-end lineage, down to the column level, between repositories and view data flows from source systems to reporting layers, including intermediate transformation and business logic.
Instantly identify the impact of potential upstream and downstream changes to your data landscape before you take action.
Integrate data quality capabilities with erwin Data Catalog to automate data profiling and quality assessment, expand data quality visibility, and leverage data quality tools for data observability and remediation.
Centrally map and manage reference data code sets to ensure accuracy and quality across enterprise datastores and applications.
Manage and socialize the gathering of functional requirements, mapping design, testing and release management of data movement and transformation projects.
Speed up data movement and transformation projects, code generation and documentation. Generate ETL/ELT, Data Vault and code for other complex data integration components with plug-in SDKs to accelerate project delivery.
Unite erwin Data Catalog with business glossary management, data stewardship, and a business-friendly data discovery and collaboration experience for impactful data governance.
From integrating data modeling and data quality, to supporting data and AI governance, to delivering a data marketplace, erwin adds valuable data intelligence capabilities to your data catalog to support your business.