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erwin Data Intelligence

erwin, Inc.

Maximize the value of your data with erwin data catalog, data literacy and data governance

erwin Data Intelligence (erwin DI) combines data catalog and data literacy capabilities for enterprise-wide awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central catalog. Map, align and manage according to your unique data governance framework and make it all securely accessible and understandable through visualizations, interactive capabilities and role-based, contextual views to support quick decisions based on accurate insights. erwin DI enables enterprise data governance, cloud migration, digital transformation and other timely data-driven initiatives.

 Power erwin DI with the metadata-driven automation of erwin Smart Data Connectors to speed migration and ETL conversions projects through forward- and reverse-engineering capabilities and automated code generation. erwin Smart Data Connectors, developed and maintained by erwin, are available for most common industry data solutions, including Microsoft Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Data Catalog, SSAS, SSIS, SSRS, SQL Analytics Platform System, SQL Server TSQL, PowerShell, and Power BI. erwin DI additionally offers out-of-the-box support for Microsoft Common Data Model-derived and enriched business glossaries for semantic consistency across business transaction domains and industries.

erwin DI uniquely meets both the technical and business aspects of data intelligence and data governance. An active, metadata approach connects all pieces of the data management and data governance lifecycle and delivers full data lineage down to the column level, as well as impact analysis capabilities. AI, business-friendly search and socialization features empower users to dramatically reduce data discovery time and increase data understanding.

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