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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The Most Connected Data Management and Data Governance Solutions
Comprehensive data preparation, modeling and data governance for fast insights that fuel compliance, innovation and transformation.
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erwin Mapping Manager
Automated metadata-driven data mapping
and code generation
Automated data discovery.
Automated data cataloging.
Automated data lineage.
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Find out if your organization is aligned and
empowered in the five key areas of data
governance readiness.
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
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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