Discover, understand, govern and socialize enterprise data to unleash potential and value
The hallmark of the intelligent enterprise is IT and business collaboration, where data governance is everyone’s business. It’s the strategic layer connecting all your data and business architectures to yield the insights that fuel success in our modern, digital world.
Data governance means different things to different people. From erwin’s perspective, data governance is a strategic, ongoing practice to ensure organizations have the abilities to discover and track their data, understand what it means within a business context, and maximize its security, quality and value.
Our research affirms that organizations view data governance as either important or critically important from a business perspective, with regulatory compliance as the top driver. While it does underpin data privacy, security and compliance, that’s not all it does. Data governance also drives digital transformation, customer satisfaction and trust, better decision-making, reputation management and analytics.
Today it’s all about the data, and we all have to be data people. Industry analyst David Loshin talks about the “citizen analyst” who must be able survey the data landscape to collect, collate and publish critical information. Modern, strategic data governance fosters the necessary collaboration between IT, the data keepers, and the rest of business, the data users, so we know how to keep customers happy, invent new products, generate more revenue, etc.
The challenge is getting our hands on accurate, relevant data and then wrapping our minds around it so we can do something productive with it. That’s why erwin has made data governance central to our mission of solving the enterprise data dilemma – what data do we have, where is it and what does it mean?
As the data governance company, we provide enterprise modeling and data intelligence software that makes it possible to answer the above questions – and fast. Because when it comes to risk management, competitive differentiation and operational excellence, there’s no time to waste.
erwin has always been the most trusted name in data modeling, and we applied this expertise to business process and enterprise architecture modeling to break down organizational and technical silos for collaboration across these key data and business architectures. By unifying them and their associated technologies, organizations can see and then unlock more of their potential.
With data governance capabilities, including data cataloging and data literacy, at the heart of our software platform, IT and the rest of the enterprise are able to discover, understand, govern and socialize data assets. The broadest set of metadata connectors and automated data mapping, code generation and cataloging tools combine data management and governance processes in an automated flow.
No other vendor can 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.
The erwin EDGE platform creates an “enterprise data governance experience,” giving organizations visibility and control over their disparate architectures and all the supporting data. And thanks to our data connectors and automation framework, errors go down while the speed and quality of your data pipeline increases.
Compliance, Privacy & Security
Increased Customer Satisfaction
Make data governance an enterprise experience, so you know what you need to know to produce results. Being able to harvest and catalog your data is the first step.
erwin Data Intelligence
Demo for Data Governance
2020 State of Data Governance and Automation
Metadata Management: The Hero in Unleashing Enterprise Data's Value
Solving the Enterprise Data Dilemma
The Regulatory Rationale for
Integrating Data Management
& Data Governance
2018 State of Data Governance
Data Governance Is Everyone’s Business