Take advantage of a business-centric data asset framework providing enterprise data landscape visibility, organizational alignment and robust, sustainable data and AI governance.
Make it simple for all users across your organization to shop for the high-value, trusted enterprise data and AI models needed to make an impact faster.
Put data in business context and enable all stakeholders to share data knowledge, best practices and build communities around data assets, enriching the metadata for all.
Give data governance teams the program visibility needed and supporting toolset to move data governance initiatives forward.
Break down IT and business silos to provide broad access to approved organizational information.
Reduce the time it takes to find data assets and therefore reliance on technical resources, plus streamline workflows for faster analysis and decision-making.
Create an integrated ecosystem of people, processes and technology to manage and protect data, mitigating a wide range of data-related risks and improving compliance.
Enhance stakeholder discovery and understanding of and trust in data assets to underpin analysis leading to actionable insights.
Capture organizational data knowledge through community data asset ratings and business asset communication between business users, data owners and data stewards.
Manage business assets such as business terms, rules, policies and more, and easily create custom assets and attributes for the full range of semantic associations between all business and technical asset types.
View data stewardship progress in managing business assets through a single, bird’s eye view, then drill down to the detail behind key metrics to keep data governance moving forward.
Deliver one location to easily shop, share and compare enterprise data products, datasets and AI models while ensuring governed data accessibility and compliance. Leverage automated data value scoring and other tools to pinpoint best-fitting assets fast.
A consumer-like, dynamic search experience makes it easy for business users to find and explore data assets with literacy visualizations, community ratings and more contextual information all within reach.
Bring stakeholders together with flexible data governance workflows designed to advance data stewardship efforts combined with business user-facing capabilities to initiate tasks and share knowledge.
Govern AI models and training data in one location using proven stewardship capabilities and automated governance workflows, making all easily discoverable via erwin Data Marketplace. Ensure ongoing data reliability with data observability in erwin Data Quality.
Gain a 360-degree visual view of, and easily drill into, the asset relationships interwoven among your technical and business assets. Make it easy to understand the business context and governance surrounding your data and AI models in one view.
See and understand data’s journey across the enterprise with lineage maps, viewed column by column or field by field, and better manage change with real-time impact diagrams.
Data governance teams and business users can view data quality scoring alongside asset search results and within data literacy visualizations to help with data assessment and build data trust.
Use AI to speed identifying and tagging sensitive data elements to accelerate compliance and reduce data-related risk. Or bulk classify assets through data lineage and mind maps.
Automate the creation and maintenance of a detailed metadata landscape to synchronize data literacy and governance initiatives, with integration to erwin Data Catalog.