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erwin Expert Blog

Almost 70 percent of CEOs say they expect their companies to change their business models in the next three years, and 62 percent report they have management initiatives or transformation programs underway to make their businesses more digital, according to Gartner. Wouldn’t it be advantageous for these organizations to accelerate these digital transformation efforts? They...

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Forrester recently released its “Now Tech: Enterprise Architecture Management Suites for Q1 2020” to give organizations an enterprise architecture (EA) playbook. It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling,...

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The value of enterprise architecture to innovation management and digital transformation is clear. Innovation management is about quickly and effectively implementing your organization’s goals through the adoption of innovative ideas, products, processes and business models. Most organizations are beginning to realize that to drive business growth and maintain a competitive advantage, innovation needs to be...

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Ch-ch-ch-ch-changes … Organizations in every industry are navigating digital transformation, so change management is an important element to consider as part of those efforts. And organizations that embrace change often achieve greater success. Whether in the early stages of implementing a digital strategy or in the midst of a new technology deployment, change management plays...

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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...

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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...

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Feb
6
2020

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...

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

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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...

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What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. As the value of data and the way it is used by organizations has...

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