Data Intelligence
Data Intelligence software solutions are concerned with the enterprise-wide definition, management, analysis, transformation, and movement of metadata toprovide support for the provision of reliable information. Enabling business stakeholders with the ability to view data that is complete and relevant to their context and needs for improved decision making.
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erwin Data Catalog
Data Catalog (erwin DC) automates enterprise metadata management, data mapping, code generation and data lineage for data movement and/or integration and architecture modernization. The solution collects metadata from a wide variety of data sources and maps data elements from source to target, including “data in motion,” while harmonizing data integration across platforms.
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erwin Data Literacy (erwin DL) enables data stewards to curate and govern data assets so data consumers can discover data relevant to their roles and understand it within a business context. By creating data communities and promoting data fluency, it ensures stakeholders have an integrated and contextual view of the semantic, business and technical aspects of the entire data landscape.
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Automated Data Product Factory
The Automated Data Product Factory (ADPF) enables organizations to accelerate the delivery of trusted, AI-ready data products through automated, reusable, and governed data workflows. By combining data modeling, governance, data quality, metadata management, marketplace capabilities, and trust scoring into a unified framework, ADPF helps organizations deliver data products faster, improve data trust, and scale modern data strategies with confidence.
DMPEP™ (Data Management Policy and Education Program)
DMPEP™ provides organizations with a practical foundation for establishing and sustaining effective data management practices. By combining comprehensive data management policies and standards with role-based education, DMPEP helps organizations define clear expectations, responsibilities, and ways of working with data. Aligned with DCAM™ and DAMA-DMBOK®, it enables teams to turn data management principles into consistent, organization-wide practices that strengthen governance, improve data literacy, and support trusted data and AI initiatives.
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