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Melville, N.Y., April 9, 2020 – erwin, Inc, the data governance company, announced today that it has received a 5-star rating by CRN, a brand of The Channel Company, in its 2020 Partner Program Guide. This annual guide identifies the strongest and most successful partner programs in the channel today, offered by the top technology suppliers for IT products and services. This recognition marks the third consecutive year that erwin has received the highest distinction from CRN for its partner program.

The CRN 5-star rating is awarded to an elite group of companies that offer solution providers the best of the best in their partner programs.

“Our partner ecosystem is critical to the success of erwin and we’re grateful for their continued loyalty,” said David Casillo, erwin’s Senior Vice President for Global Channels and Enterprise Sales. “We remain fully committed to supporting partners with expanded opportunities, valuable resources and substantial benefits to encourage growth and foster mutually beneficial results.”

“We are truly honored to once again receive CRN’s 5-star rating,” Casillo continued. “erwin partners help organizations mitigate risk while maximizing data’s upsides for peak performance – from complying with regulatory mandates to boosting revenue.”

To learn more about becoming an erwin partner, please click here.

The complete 2020 Partner Program Guide is featured in the April issue of CRN and online.

CRN is a registered trademark of The Channel Company, LLC.  All rights reserved.

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MELVILLE, N.Y. – March 20, 2020 – erwin, Inc. is excited to share that we have been named a 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. Gartner defines this market as vendors that include one or many metadata management capabilities, such as metadata repositories, business glossary, data lineage, impact analysis, rules management, semantic, metadata ingestion and translation. Click here to access the Gartner Peer Insights page for metadata management solutions.

erwin’s metadata management offering, the erwin Data Intelligence Suite (erwin DI), is comprised of erwin Data Catalog (erwin DC) and erwin Data Literacy (erwin DL) with built-in automation for greater visibility, understanding and use of enterprise data. The solutions work in tandem to automate the processes involved in harvesting, integrating, activating and governing enterprise data according to business requirements. This automation results in greater accuracy, faster analysis and better decision-making for data governance and digital transformation initiatives.

“We believe being named a 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions demonstrates our commitment to helping customers answer fundamental questions about their data so they can unlock more of its potential and value,” explains Adam Famularo, erwin’s CEO. “We’re really grateful for their feedback through the Gartner Peer Insights program and will use it to further enhance our development and support efforts. I’d also like to thank these teams for their passion in delivering products and services that are making a difference to customers in every industry sector but especially those in healthcare, pharmaceuticals and financial services as they are confronting new global challenges and rapid changes.”

Metadata management is key to sustainable data governance and any other organizational effort that is data-driven. erwin DC automates enterprise metadata management, data mapping, data cataloging, code generation, data profiling and data lineage. erwin DL provides integrated business glossary management and self-service data discovery tools so both IT and business users can find data relevant to their roles and understand it within a business context. Together as erwin DI, these solutions give organizations a complete and clear view of their metadata landscape, including semantic, business and technical elements.

“Having also been named a Leader in the 2019 Gartner Magic Quadrant for Metadata Management Solutions, we think our expansion from data modeling to data governance and intelligence has been validated and is starting to resonate with our customers and prospects on both sides of our business, including enterprise architecture and business process modeling,” Famularo adds. “Data underpins every type of architecture, business, technology and of course data, so it only make sense that both IT and the wider business collaborate to ensure it’s accurate, in context and available to the right people for the right purposes.”

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

About Gartner Peer Insights

Peer Insights is an online platform of ratings and reviews of IT software and services that are written and read by IT professionals and technology decision-makers. The goal is to help IT leaders make more insightful purchase decisions and help technology providers improve their products by receiving objective, unbiased feedback from their customers. Gartner Peer Insights includes more than 215,000 verified reviews in more than 340 markets. For more information, please visit www.gartner.com/reviews/home.

Gartner Peer Insights Customers’ Choice constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by Gartner or its affiliates.

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. – Feb. 18, 2020 – erwin, Inc. today announced the availability of erwin Evolve, a full-featured, configurable set of enterprise architecture (EA) and business process (BP) modeling and analysis tools. The combined solution enables organizations to map IT capabilities to the business functions they support and determine how people, processes, data, technologies and applications interact to ensure alignment in achieving enterprise objectives, including digital transformation, cloud migration, portfolio and infrastructure rationalization, regulatory compliance, mergers and acquisitions, and innovation management initiatives.

“Whether documenting systems and technology, designing processes and value streams, or managing innovation and change, organizations need flexible but powerful EA and BP tools they can rely on for collecting the relevant information for decision-making,” explains Martin Owen, erwin’s Senior Vice President of Product Strategy. “It’s like constructing a building or even a city – you need a blueprint to understand what goes where, how everything fits together to support the structure, where you have room to grow, and if it will be feasible to knock down any walls if you need to. Without a picture of what’s what and the interdependencies, your enterprise can’t make changes at speed and scale to serve its needs.”

The power to adapt the EA/BP platform leads global giants in critical infrastructure, financial services, healthcare, manufacturing and pharmaceuticals to deploy what is now erwin Evolve for both EA and BP use cases. Its unique advantages are:

• Integrated, Web-Based Modeling & Diagramming: Harmonize EA/BP capabilities with a robust, flexible and web-based modeling and diagramming interface easy for all stakeholders to use.
• High-Performance, Scalable & Centralized Repository: See an integrated set of views for EA and BP content in a central, enterprise-strength repository capable of supporting thousands of global users.
• Configurable Platform with Role-Based Views: Configure the metamodel, frameworks and user interface for an integrated, single source of truth with different views for different stakeholders based on their roles and information needs.
• Visualizations & Dashboards: View mission-critical data in the central repository in the form of user-friendly automated visualizations, dashboards and diagrams.
• Third-Party Integrations: Ensure the availability of real-time, accurate data with a wide range of API extensions to import data from such enterprise applications as CAST, Cloud Health, RSA Archer, ServiceNow and Zendesk.
• Professional Services: Tap into the knowledge of our EA and BP consultants, each with more than 15 years of experience, for installation, configuration and installment plus help with customizations and integrations, including support for ArchiMate.

erwin Evolve 2020’s specific enhancements include web-based diagramming for non-IT users, stronger document generation and analytics, TOGAF support, improved modeling and navigation through inferred relationships, new API extensions, and modular packaging so customers can choose the components that best meet their needs. erwin Evolve is also part of the erwin EDGE with data modeling, data catalog and data literacy capabilities for overall data intelligence.

“Organizational success depends on agility and adaptability in responding to change across the enterprise, both planned and unplanned,” Owen notes. “erwin Evolve enables communication and collaboration across the enterprise with reliable tools that make it possible to quickly and accurately gather information, make decisions, and then ensure consistent standards, policies and processes are established and available for consumption internally and externally as required.”

MELVILLE, N.Y. – Feb. 4, 2020 – erwin, Inc. today announced the availability of a new version of the erwin Data Intelligence Suite (erwin DI). erwin DI synchronizes data management and data governance processes in an automated flow so data assets are stored in a central data catalog and then made accessible and understandable within a business context via role-based views.

“The erwin DI Suite harmonizes IT-focused data management with business-led data governance so every stakeholder has access to relevant data to do their jobs,” explains Adam Famularo, erwin’s CEO. “We’re trying to help customers turn their data from a burden into a benefit by fueling an accurate, real-time, high-quality data pipeline they can mine for insights that lead to smart decisions for operational excellence.”

The erwin DI Suite includes the erwin Data Catalog (erwin DC) and erwin Data Literacy (erwin DL) solutions. erwin DC automates enterprise metadata management, data mapping, reference data management, code generation, data lineage and impact analysis. It integrates and activates data in a single, unified catalog in sync with business requirements to schedule ongoing metadata scans from the widest array of sources, keep metadata current with full versioning and change management, and easily map data elements from source to target and harmonize data integration across platforms.

erwin DL provides self-service, role-based, contextual data views. It also provides a business glossary for the collaborative definition of enterprise data in business terms. It also includes built-in accountability and workflows to enable data consumers to define and discover data relevant to their roles, facilitate the understanding and use of data within a business context, and ensure the organization is data literate.

A comprehensive list of erwin-owned standard data connectors is included with erwin DI for automated harvesting, refreshing and version-controlled metadata management. Optional erwin Smart Data Connectors reverse-engineer data movement code of all types and connect bi-directionally with reporting and other ecosystem tools. These connectors offer the fastest and most accurate path to data lineage, impact analysis and agile data preparation.

Enhancements in the latest release of erwin DI focus on ease of use and configurability, expanded connectivity and enhanced visualization and navigation. They include:

• Enhanced, configurable user interface and more powerful data lineage
  • New summary view for search and browse
  • Interactive mind map that enriches data lineage with semantic relationships and deeper drill-down and filtering
  • New sensitive-data dashboard consolidating the view of sensitive data across systems complete with drill-down
  • User-defined view and filtering
• New flexible metamodels supporting a robust, customizable data governance framework
  • Ability to create different types of business assets according to organizational requirements
  • Custom attributes creation that can be combined with any type of data
  • Authoring-workflow integration and bulk import for custom assets
  • Support for the full range of semantic associations between all business and technical asset types
  • Ability to define multi-relationships between any every association type
  • Contextually complete and fully navigable
• New and enhanced metadata scanning and curation
  • New JDBC connectors for Snowflake and Google Big Query
  • Enhanced JDBC connectors for Oracle, SQL Server, Teradata
  • Expanded logical name (ELN) engine execution at the metadata system and environment level

“We’re working with some of the largest names in financial services, healthcare, manufacturing and critical infrastructure to get a handle on the vast amounts of data they generate to ensure greater data literacy and accountability among all their stakeholders,” adds Famularo. “Across industry, digital transformation is reshaping how enterprises evolve their business models and gain a competitive edge, which requires data-driven intelligence to fuel strategic decisions.”

MELVILLE, N.Y., Jan. 28, 2020 – Data governance drivers have shifted, according to the 2020 State of Data Governance and Automation (DGA) report released today by erwin, with 62% of survey respondents citing better decision-making as the primary reason for implementing data governance. Regulatory compliance was the main driver two years ago, just ahead of the General Data Protection Regulation (GDPR) going into effect, so the new emphasis on decision-making may indicate organizations are using data to improve their overall performance, rather than merely ticking off a compliance checkbox.

As a follow-up to its 2018 State of Data Governance Report, erwin worked with Dataversity to look at how data governance attitudes and practices are evolving. This latest survey reveals that the most serious data governance bottlenecks are documenting complete data lineage (62%);  understanding the quality of source data (58%); finding, identifying and harvesting data (55%); and curating data assets with business context (52%).

“The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability,” explains Mariann McDonagh, CMO for erwin. “That’s not surprising considering the amount and complexity of data to manage, plus most data operations are still manual and dependent on IT resources.”

In fact, this latest research reveals that data lineage would be the most valuable process to automate (65%), followed by data cataloging (48%) and data mapping (53%). But only 25%, 53% and 39% of these processes have been automated, respectively. “Without an accurate, high-quality, real-time data pipeline, it will be difficult to uncover the information necessary for making the best decisions. Automating data operations creates sustainable and repeatable practices that reduce errors, improve analytics and increase speed to insights,” McDonagh notes.

Other key findings of the 2020 State of DGA report:

• 38% say their data governance programs are a work in progress and 31% are just getting started, as compared to 42% and 21% in the prior survey.
• Analytics (51%), regulatory compliance (48%), digital transformation (37%) and data standards/uniformity (36%) are the primary drivers of data governance, behind better decision-making.
• 67% have deployed data preparation, data governance or data intelligence solutions.
• When asked to specify which types of the above solutions have been deployed, data analytics (65%), metadata management (59%), data quality (59%), data catalog (49%) and business glossary (49%) top the list.
• 25% of respondents say length of project/delivery time is the most significant challenge, followed by data quality/accuracy at 24%, time to value at 16%, and reliance on developer and other technical resources at 13%.
• 70% of respondents spend 10 or more hours per week on time-sinking data-related activities. Searching for data is the biggest culprit.

“Businesses still depend too much on manual approaches to data management,” McDonagh says. “Data availability, quality, consistency, usability and reduced latency are at the heart of successful data governance and sound decision-making. In today’s competitive landscape, stakeholders must have confidence in the data underlying the analytics they rely on for both strategic and tactical decisions.”

More than 260 North American business technology professionals at organization of various sizes,  responded to the erwin-Dataversity survey on which the 2020 DGA report is based. Most are in data and/or information architecture roles (29%), followed closely by information/data governance professionals (25%). Business intelligence/analysts are the third most represented job function, with data scientists and executive management also participating.

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