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.