erwin and Mikan Associates Announce Strategic Partnership to Help Organizations Adopt Data Governance Solutions

MELVILLE, N.Y., and CHICAGO – June 10, 2020 – erwin, Inc., the data governance company, and Mikan Associates, the data, analytics, AI solutions and consulting services company, today announced a strategic partnership to help their clients increase speed to business insights through adoption of an agile platform and processes to govern their data assets.

The companies are currently working with several mid-market financial services, healthcare, education and aggregation organizations to modernize the way they govern their data assets.

“Data governance is still lacking and problematic for many organizations, especially in managing their processes and procedures for data privacy and security,” explained Michael Odongo, Mikan’s CEO and Chief Innovation Officer. “Of course, you must govern your data before you can add any sort of privacy layer, which is more critical now than ever before given current world events. So, when clients ask us if we have a one-stop tool that can help them really do data governance, we now can say a definitive ‘yes’ thanks to erwin.”

For example, erwin and Mikan recently worked with a large membership-based insurance arbitration service provider to deploy the erwin Data Intelligence Suite (erwin DI) to easily track the end-to-end status of cases and connect business assets with definitions for prioritized workflows. The client also needed data lineage to view the connections between all relevant data sources and outputs, as well as impact analysis to help manage frequent changes to its multiple data sources. In addition, integration with the firm’s chosen data integration and analytics platforms was also critical.

“Data governance is a business domain, so the users of data governance technology need it to be robust yet intuitive and easy to use, which erwin DI is,” Odongo said. “We and our clients can trust that erwin DI will properly catalog their data assets and help them better understand them so they can measure their business performance and stay competitive. erwin really shines in being business user friendly, helping customers define their data, put it in context and automate the associated governance processes.”

“It is evident we have significant synergies with Mikan in terms of building relationships and trust with customers and conducting the discovery to propose the best solutions for them,” notes David Casillo, erwin’s Chief Revenue Officer who is responsible for global channel sales and alliances. “Similar to erwin, Mikan takes a highly collaborative approach to their engagements and consistently delivers measurable results and value. We are extremely excited to partner with Mikan and look forward to working with them and their clients. Our recent Snowflake integrations also represent additional opportunities to join forces with Mikan in the cloud data warehouse space.”


About Mikan

Mikan provides measurable, impactful data, analytics and AI solutions with unmatched technical expertise, deep industry knowledge and senior consulting experience. We specialize in using data to harness your business story and fast. We take a shoulder-to-shoulder approach on all client engagements and base our success on measurable positive impacts against business objectives. We take pride in our fastest time to value guarantee through our adaptive iterative framework.

erwin and Snowflake Partner to Accelerate Cloud Migration and Effectively Govern Cloud Data Stores

MELVILLE, N.Y., June 3, 2020 erwin, Inc., the data governance company, today announced a partnership with Snowflake, the cloud data platform, to help enterprises accelerate cloud migration, as well as ensure proper data governance for those projects. The partnership involves a new native integration with erwin Data Modeler (erwin DM) to automate the design, analysis and deployment of Snowflake, as well as an erwin Data Connector for automatically extracting Snowflake metadata for ingestion into the erwin Data Intelligence Suite (erwin DI).

“Organizations around the world are grappling with how to respond to the COVID-19 pandemic and understand what their businesses will look like after we emerge,” said Stewart Bond, Research Director, Data Integration and Intelligence Software for IDC. “As a result, businesses are expediting their digital transformation and cloud migration efforts to improve agility. As these businesses migrate from legacy systems, data governance and data intelligence are critical to helping them understand where their data is, where it’s been, how it transitioned along the way, and if there are any associated sensitivities or risks. This partnership between erwin and Snowflake will help speed business agility but in a way that ensures compliance and governance along the way.”

“Snowflake customers want to quickly and safely move the data from their legacy systems to our cloud data platform while ensuring the quality and overall governance of that data,” said Kent Graziano, Chief Technical Evangelist at Snowflake. “erwin enables faster and easier cloud migrations into Snowflake, by providing complete data lineage with documentation through automated, repeatable processes. The new partnership with erwin will help our joint customers reduce their time-to-value through increased data visibility, quality and control, and reducing risks and maintenance costs.”

“As a long-term customer and power user of erwin DM and a huge advocate of Snowflake, having built several data warehouses on that platform, I’m excited about the companies’ strategic partnership,” explained Bernie Pruss, Chief Data Solutions Architect at Two Rivers Consulting. “I was really impressed by the demo of the erwin-Snowflake integrations I’ve seen and am confident about the value organizations will realize by taking advantage of both solutions’ powerful features.”

The native erwin DM integration lets customers automate the creation of Snowflake-specific data models; forward-engineer or generate code for Snowflake database schema; reverse-engineer existing Snowflake schema into erwin models; and compare, analyze and synchronize Snowflake models with the databases they represent.

The erwin Data Connector for Snowflake automatically scans and ingests metadata from Snowflake platforms into erwin DI, enabling data mapping to and from Snowflake databases to generate data movement code, lineage and impact analysis. And because erwin DM and erwin DI are integrated, there’s a complete picture of physical, semantic and business metadata in every Snowflake instance, and the creation and association of terms within the business glossary can be accelerated.

“We’re excited to partner with Snowflake to help our joint enterprise customers discover meaningful insights from their data, which is now more critical than ever,” said Adam Famularo, CEO of erwin. “Cloud technology is key to helping organizations cope with COVID disruption, and we are seeing more and more demand for the Snowflake Cloud Data Platform among our customer base. This partnership and these key integrations will accelerate Snowflake cloud transformations by providing customers with the necessary data modeling, code generation, data mapping, lineage, documentation and impact analysis that’s foundational to a sustainable data governance program.”

erwin Boosts Data Governance Capabilities in Latest Update


erwin DI Receives Data Governance Upgrades


New erwin Data Intelligence Suite Delivers Faster Time to Data-Driven Value in a Post-COVID World

MELVILLE, N.Y. – May 28, 2020 – erwin, Inc. today released the latest version of the erwin Data Intelligence Suite (erwin DI) to make enterprise data governance faster and business users more knowledgeable about available data assets to facilitate sound decision-making. This release enhances erwin DI’s automation capabilities, including new AI/ML, a data lineage analyzer, data model integration and compliance-driven asset classification. It also provides an enhanced UI for the business user portal.

“COVID-19 has elevated the importance of data literacy and intelligence, making the right data governance platform essential to organizations so they can make both short- and long-term decisions regarding their business processes and also their entire business models,” said Adam Famularo, CEO, erwin, Inc. “Business transformation has to be based on accurate data assets within the right context, so organizations have a reliable source of truth on which to base their decisions. erwin provides an intuitive, robust data governance platform with the catalog, lineage, glossary and visualization capabilities needed to evaluate the business in its current state and then evolve it to serve new objectives.”

In fact, erwin DI combines data catalog, data literacy and automation capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central catalog. Then make it accessible and understandable via role-based, contextual views so stakeholders can make strategic decisions based on accurate insights.

The latest version of the erwin DI Suite includes these new features:

  • erwin AIMatch to automatically discover and suggest relationships and associations between business terms and technical metadata, reducing manual configuration bottlenecks
  • Data lineage analyzer for a singular, grouped view of multiple tables and columns, hover traceability and tailored, role-based views for easier, faster analysis and interpretation of large data sets
  • Enhanced mind map with personalization options to improve filtering and navigation for accelerated data discovery and impact analysis
  • erwin DM Connect for DI to automatically harvest erwin data models and the associated metadata for ingestion into the data catalog for a single source of metadata
  • Faster, more intelligent classification of technical and business assets with changes made automatically across data sets to support regulatory compliance efforts
  • Improved sensitive data dashboard with drilldown by asset classification/type or system/environment to inform compliance, answering such question as “how many PII assets do we have?”
  • Enhanced interface for the erwin Business User Portal with customization, configuration and navigation options that increase end user efficiency and data literacy
  • Built-in onboarding tool to help customers learn the tool and become productive with it quickly
  • More than 25,000 preloaded terms within the business glossary, including FIBO (financial industry business ontology) terms, to accelerate deployments and leverage best practices

“This latest release of erwin DI highlights more automation advancements as part of fulfilling our vision to offer the most automated data governance solutions so customers can increase their speed to insights,” Famularo added. “As we like to say, data equals truth and truth matters – today more than ever before – so our goal is helping customers find theirs as quickly and effectively as possible so they can be successful in their missions.”

And because every organization is unique with different requirements, erwin DI’s flexible metamodel enables the creation of a data governance and intelligence framework that meets an individual enterprise’s needs today and as they evolve. A customer can define any number of business asset types in the business glossary with associations between any physical and/or business asset. They are then available as new asset categories in the mind map for easy discovery and navigation.

This Is Not A Drill: Surviving Radical Disruption With Data Governance


erwin Named One of the Best Big Data Companies To Work For


Leveraging Data to Survive in a Post-COVID World

Listen to the recording on TradeTalks.

erwin Named One of Coolest Data Management and Integration Tool Companies of CRN’s 2020 Big Data 100


What’s Driving Data Governance? (Hint: Automation)

Read more on Datamation.