erwin Mapping Manager

Automated metadata-driven data mapping
and code generation

Automated data discovery.
Automated data cataloging.
Automated data lineage.

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Take the DG RediChek

Find out if your organization is aligned and
empowered in the five key areas of data
governance readiness.

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Solving the Enterprise
Data Dilemma

Harmonize data management and data governance

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Our Capabilities

Data Governance

Expand data governance beyond traditional IT roles to ensure all organizational stakeholders can discover, understand, govern and socialize data assets to reduce risks and realize other organizational objectives.

Business Process Modeling

Tame the complexity of your organization and make decisions based on a central source of facts with models of processes, system interactions and hierarchies to ensure elements are aligned and core operations optimized.

Enterprise Architecture Modeling

Align IT with the business to better plan, manage and govern change with greater flexibility and cost-effectiveness by mapping apps and the associated technologies and data to the functions they enable.

Data Modeling

Increase the use, understanding and trust of data across the organization with a unified view of any data from anywhere for consistency, clarity and artifact reuse across large-scale data initiatives.

Data Mapping

Build and maintain business intelligence/analytics platforms by mapping data elements to their sources for data lineage, understanding how data moves and transforms throughout the organization.

News

erwin Named to DBTA’s Big Data 50, Companies Driving Innovation

erwin makes the “Big Data 50,” a list of companies expanding what’s possible in terms of collecting, storing, protecting, and deriving value from data.
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Events

Don't Gamble with Data Governance | Pittsburgh, PA

Join Agilarc, Myriad and erwin for a half-day workshop about data governance as a winning enterprise initiative, bringing together IT and the business.
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Blog

Top 10 Reasons to Automate Data Mapping and Data Preparation

Data preparation is notorious for being the most time-consuming area of data management. It’s also expensive. “Surveys show the vast majority of time is spent on this repetitive task, with some estimates showing it takes up as much as 80% of a data professional’s time,” according to Information Week. And a Trifacta study notes that...
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