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MELVILLE, N.Y. – January 8, 2020 – erwin, the data governance company, today released a new version of erwin Data Modeler (erwin DM), the world’s No. 1 data modeling software for designing, deploying and understanding data sources to meet modern business needs. This is the first in a series of new products the company will announce in Q1 to demonstrate innovation across its enterprise modeling and data governance and intelligence software suites.

erwin DM is an award-winning data modeling tool used to find, visualize, design, deploy and standardize high-quality enterprise data assets. Discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives – all while supporting data governance and intelligence efforts with:

• Metadata and schema visualization to mitigate complexity and increase collaboration and literacy across a broad range of data stakeholders
• Integrated business and semantic metadata authoring to augment physical asset metadata in the data catalog and accelerate data stewardship effort
• Design task automation and standardization to improve business alignment, ensure data integrity and simplify integration

“Today’s data modeling is not your father’s data modeling,” explains Adam Famularo, CEO of erwin. “While it’s always been the best way to understand complex data sources and automate design standards and integrity rules, the role of data modeling continues to expand as the fulcrum of collaboration between data generators, stewards and consumers. That’s because it’s the best way to visualize metadata, and metadata is now the heart of enterprise data management, as well as data governance and intelligence efforts.”

Teradata, a decades-long partner of erwin, uses erwin DM to develop industry data models, as well as to implement those models into Teradata’s flagship product, Vantage. According to Bill Matera, Director of Industry Data Modeling at Teradata, “For more than a decade, erwin DM has been a key element of Teradata’s industry data modeling offering – an important part of Teradata Vantage, which combines analytics, data lakes and data warehouses into a single, unified platform. erwin’s innovation in data modeling achieves the expectation we set for all Teradata products and we fully support its vision that data intelligence drives a smarter, well-governed and data-literate enterprise.”

erwin’s data modeling business continues to expand, with more than 250 new logos added across several industry sectors in 2019. The company’s initial acquisitions and its own organic R&D have fueled strong year-over-year growth, particularly in support of data governance and data intelligence programs as global enterprises invest in new ways to use data to their strategic advantage. And erwin recently was recognized as a Leader in Gartner’s “2019 Magic Quadrant for Metadata Management Solutions” report.

Being able to visualize any enterprise data asset from any location via a single interface is the first step, aided by erwin DM and its ability to automatically generate data models and database designs to increase efficiency and reduce errors. With an integrated view of conceptual, logical and physical data models, both business and technical stakeholders can understand data structures and their meaning.

The new erwin DM features include:

• A modern, configurable workspace so users can customize the modeling canvas and optimize access to features and functionality that best support their workflows, including ribbon menus, tabs for navigating between multiple models, and customizable UI elements such as icon colors

• Support for and model integration from major databases to work effectively across platforms and reuse work product, including native support for Amazon Redshift and updated support for the latest DB2 releases, certification for the latest MS SQL Server releases, and model exchange (import/export) to/from a wide variety of data management environments

• Modeling task automation that saves modelers time, reduces errors and increases work product quality and speed, including a new scheduler to automate the offline reverse-engineering of databases into data models, New Quick Compare templates as part of the Complete Compare feature to compare and synchronize data models and sources, new ODBC query tool for creating and running custom model and metadata reports, and design transformations to customize and automate super-type/sub-type relationships between logical and physical models

erwin DM also integrates with the erwin Data Intelligence Suite (erwin DI) to automatically harvest the metadata in erwin data models for ingestion into the data catalog for better analytics, governance and overall data intelligence.

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MELVILLE, N.Y., Dec. 5, 2019 – erwin, the data governance company, today announced that erwin Data Catalog (erwin DC) has been recognized by Database Trends and Applications (DBTA) magazine as a DBTA Trend-Setting Product for 2020. The list recognizes products in the marketplace that are both innovative and effective in helping customers address evolving data challenges and opportunities.

erwin DC automates enterprise metadata management, including data mapping, code generation, data quality, data lineage and impact analysis. It integrates and activates data in a single, unified catalog in accordance with business requirements by:

• Scheduling ongoing scans of metadata from the widest array of data sources.
• Keeping metadata current with full versioning and change management.
• Easily mapping data elements from source to target, including data at rest and in motion, and harmonizing data integration across platforms.

“Metadata management has been complicated and time-consuming for most organizations, preventing them from realizing their true digital potential,” explains Mariann McDonagh, CMO of erwin. “erwin DC automates the manual and error-prone processes of metadata management past so data assets can be discovered and ingested into a central data catalog.”

erwin DC is part of the erwin Data Intelligence Suite (erwin DI) for automatically harvesting, transforming and feeding metadata from a wide array of data sources, operational processes, business applications and data models into a central data catalog for access and understanding within the context of role-based views. The solution was evaluated as part of the Gartner 2019 Magic Quadrant for Metadata Management that recognized erwin as a leader in the practice.

“An accurate view of the metadata landscape reduces friction in data access and use, improves overall quality, and accelerates digital transformation because more individuals become adept at data analysis,” McDonagh adds. “Data isn’t just for data professionals and developers anymore. In the data-driven enterprise, it’s everyone’s business to uncover meaningful insights and use them to improve operational performance – from regulatory compliance to revenue generation.”

MELVILLE, N.Y., October 21, 2019 — erwin, the data governance company, today announced it has been positioned as a Leader in the Gartner “2019 Magic Quadrant for Metadata Management Solutions.”

The Garter Magic Quadrant for Metadata Management Solutions provides a detailed overview of the market, including evaluations of 17 vendors based on completeness of vision and ability to execute. The report and the quadrant graphic can be downloaded here: www.erwin.com/GartnerMMMQleader.

erwin’s metadata management offering, the erwin Data Intelligence Suite (erwin DI), is comprised of erwin Data Catalog and erwin Data Literacy solutions. With a broad set of metadata connectors and automated code generation, data mapping and cataloging tools, erwin DI combines data management and data governance processes in an automated flow. Organizations then have visibility and control over their disparate data streams – from harvesting to aggregation and integration, including transformation with complete upstream and downstream lineage and all the associated documentation.

“To us, being named as a Leader by Gartner in its Magic Quadrant for Metadata Management Solutions is affirmation of our team’s dedication and hard work in helping our customers approach data governance more strategically and with greater efficiency,” explains Adam Famularo, CEO of erwin. “Data operations is challenging, not to mention how difficult it is for business stakeholders to tie all the data puzzle pieces together for fast and accurate insights to make critical decisions. But we believe our software is unique in its ability to automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central data catalog and then make it accessible and understandable within the context of role-based views.”

Source: Gartner, Magic Quadrant for Metadata Management Solutions, Guido De Simoni, Mark Beyer, Ankush Jain, 16 October 2019.

Gartner Disclaimer

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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MELVILLE, N.Y., September 9, 2019 — erwin Enterprise Architecture (EA) powered by Casewise has debuted in the “Ovum Market Radar: Enterprise Architecture,” positioned as a “challenger.”

According to the report, “erwin EA specializes in highly regulated environments, where data drives operations and is critical to organizational success. The solution offers extensive governance and audit trails to ensure that all EA activities are tracked and comply with organizational regulations. The solution is tied together with a central repository, allowing enterprise architects to plan and manage business and IT change in a controlled manner.”

erwin EA provides a complete set of enterprise architecture tools that is highly customizable for integration into the customer environment. It supports numerous industry-standard and industry-defined frameworks and integrates with such third-party tools as CAST, CloudHealth, RSA Archer and ServiceNow to create integrated, role-based views so enterprise architects and other stakeholders have a thorough understanding of the enterprise.

“As the Ovum report says, ‘EA has changed to AE’ as in ‘architect everything,’ and we agree. We’re seeing this more and more as organizations undertake digital transformation initiatives, including rearchitecting their business models and value streams, as well as responding to increasing regulatory pressures,” explains erwin CEO Adam Famularo. “erwin EA’s reliability and scalability enables us to support thousands of users at enterprises across the globe, helping customers like HSBC, NASA and Pfizer with their innovation and business transformation journeys.”

erwin EA helps organizations:

• Align business and IT with consistent design, documentation and communication of architecture assets
• Understand the full impact of changing business and IT capabilities in support of strategic decision- making
• Model and integrate complex strategy, process, application, data and technology architectures
• Collaborate with all stakeholders on innovation and transformation initiatives
• Retain organizational knowledge

As part of the erwin EDGE platform, erwin EA delivers even more effective compliance and risk traceability across business, application and technology domains because it integrates and continuously refreshes metadata from the entire data ecosystem, including enterprise architecture, business processes and data architecture, forming the foundation for enterprise-wide data discovery, literacy, governance and strategic usage. As Ovum notes, “erwin helps business and enterprise architects to take a data-driven approach to business transformation, thus reducing silos, decreasing time to insights, and improving risk management.”

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