erwin Expert Blog

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business, on-premise and in private or public clouds. And it exists across these hybrid architectures in different formats: big and unstructured and traditional structured business data may physically sit in...

The analytic hierarchy process (AHP) or pairwise comparison is a framework for decision making, rooted in mathematics and psychology. The widely used technique was created by Thomas L. Saaty, a Distinguished University Professor at the University of Pittsburgh, in the 1970s. Saaty recognized that making decisions is complicated. Knowing how to make the “right” decision...

Data governance (DG) as an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. During times of crises, many of the less critical programs of work may be put on hold however ground-breaking they are. Organizations need to understand what the most critical operational activities are and the most impactful...

Collaboration is vital to enterprise architecture, and one of the ways to facilitate collaboration is through an enterprise architecture Kanban board. It is an ideal way to manage and track work in progress. Ultimately, the goal of an enterprise architecture initiative is to provide the organization with a complete view of the enterprise, its assets...

The role of data modeling (DM) has expanded to support enterprise data management, including data governance and intelligence efforts. After all, you can’t manage or govern what you can’t see, much less use it to make smart decisions. Metadata management is the key to managing and governing your data and drawing intelligence from it. Beyond...

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. In simple terms, EA provides a holistic, enterprise wide overview of an organization’s assets and processes, whereas data architecture gets into the nitty gritty. The difference between data...

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term. But the real challenges will be accelerating recovery and crisis-proofing your business to mitigate the impact...