erwin Expert Blog

As organization’s technologies and digital strategies mature, enterprise architecture for change management is becoming increasingly relevant.  Enterprise architecture’s holistic view of the organization is perfect for understanding how an organization’s assets are interconnected.  This understanding is crucial when an organization is looking to change from within. But it is perhaps even more crucial still, when...

Enterprise architecture (EA) and business process (BP) modeling tools are evolving at a rapid pace. They are being employed more strategically across the wider organization to transform some of business’s most important value streams. Recently, Glassdoor named enterprise architecture the top tech job in the UK, indicating its increasing importance to the enterprise in the...

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements. Creating and sustaining an enterprise-wide view of...

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. The research from the survey suggests that companies are still grappling with the challenges of data governance — challenges that will only get worse as...

A new study into data governance automation indicates organizations are prioritising value-adding use cases, over efforts concerning regulatory compliance.

There are three different types of data models: conceptual, logical and physical, and each has a specific purpose. Conceptual Data Models: High-level, static business structures and concepts Logical Data Models: Entity types, data attributes and relationships between entities Physical Data Models: The internal schema database design An organization’s approach to data modeling will be influenced...

As data-driven business becomes increasingly prominent, an understanding of data modeling and data modeling best practices is crucial. This posts outlines just that, and other key questions related to data modeling such as “SQL vs. NoSQL.” What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy...

Enterprises are trying to manage data chaos. They might have 300 applications, with 50 different databases and a different schema for each one. They also face increasing regulatory pressure because of global data regulations, such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into...

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge. Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years. While these will remain big data governance trends for 2020, we anticipate organizations will finally begin tapping...

Data has been the driving force of the decade. Digital pioneers like Amazon, Netflix and Uber account for some of the most extreme market disruption their respective industries have faced. But such success cannot be attributed soley to head-starts. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to...