erwin Data Governance

Active data governance on a model-driven, collaborative platform

Drive trust and accountability for your data modeling projects with erwin Data Governance. By using active data governance embedded in your data architecture versus traditional, passive governance processes, erwin DG helps implement and manage business-critical rules and controls across a broad array of architectures. It’s a cost-effective way for your business and technical stakeholders to collaborate while managing, integrating and deploying your organization’s unique data governance policies.

Drive rigorous standards
and governance

Increase data quality and consistency with an integrated business glossary that supports managed authoring and approvals.

Enable planning, analysis
and risk mitigation

Define semantic and data flow lineages for your complex data management initiatives.

Publish and promote
governance policies

Drive collaboration and accountability with a self-service, intuitive Web interface that helps boost strategic data usage.

Learn why data is the driving force for business success in our digital age, including why enterprise and process architects should care.

Why Model-Driven Data Governance?

Whether you’re undertaking a business intelligence project or a master data management initiative, a data model and its metadata repository can be a critical, central source for your data governance core definitions and data structure. We believe model-driven data governance is the best way to ensure data consistency and quality – and we’re the only vendor offering this approach. With erwin DG, your standards are easily captured and deployed. Errors and issues can be caught early, before data initiatives go live, reducing the time and expense of making adjustments after a project is in production.

The Importance of Active Data Governance

erwin DG lets business and technical stakeholders across your organization collaboratively define, manage and integrate data governance constructs into their enterprise data architecture. That’s important because the traditional approach of using static manuals, which quickly become outdated, makes it challenging to consistently implement standards and can lead to data management silos. But active data governance ensures stakeholders always use the most up-to-date data models and metadata. The result? Your users get data they can trust, which increases quality and use.

Mitigate Risks with Lineage and Impact Analysis

By performing graphical lineage and impact analysis, users can easily assess the impact of their changes and feel confident in their data sources. erwin DG lets users view the inter-relationships between data elements to analyze semantic and dataflow lineage to better assess the impact and risk of potential changes.

Ease the Burden of Regulatory Compliance

Regulatory rules and compliance requirements have never been more stringent, and complying with them is even more complex. With erwin DG, you can capture compliance requirements, ensure your project plans account for them, and feel confident the data sources you deploy reflect the appropriate rules and rigor. Additionally, erwin DG’s model-driven functionality enables you to respond dynamically when the rules change and reduces the overhead of proving compliance when auditors require substantiation.

erwin in Action

erwin takes a model-driven, “active” approach to data governance. Look at the benefits of driving active data governance within your organization, ensuring alignment with business goals.

Frequently Asked Questions

How do I implement data governance throughout my organization?

By using erwin DG to embed your constructs and requirements into a design and deployment tool like erwin Data Modeler, all your standards, regulations and rules will be in place for building and maintaining data model structures. This makes it easy for both business and technical stakeholders to use your data governance standards in their initiatives.

How do I drive awareness and accountability for data governance among multiple audiences?

erwin DG provides a self-service capability via an intuitive, Web-based application that allows collaboration and data discovery around data governance. It brings your business and technical stakeholders together, breaking down data management silos that tend to occur with traditional, static data governance processes, like manuals or file shares, which quickly become outdated and are often open to interpretation.

How do I ensure data governance is utilized in our organization’s major data initiatives?

erwin DG’s model-driven data governance approach helps ensure the proper rules and standards are followed as soon as a data initiative begins. By introducing data governance at the start of a project, you’ll help reduce errors that can occur later when they’re more time-consuming and expensive to address.