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Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

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Data Diagramming – Discover What You Don’t Know

Argon Digital

Creating a Business Data Diagram. I found the exercise of creating a Data Flow Diagram for a block walk/canvass so interesting that I decided to play with the same use case to create another data model, the Business Data Diagram (BDD). The BDD is one of the most important and useful models we use.

Banking 52
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Data Diagramming – Discover What You Don’t Know

Argon Digital

I found the exercise of creating a Data Flow Diagram for a block walk/canvass so interesting that I decided to play with the same use case to create another data model, the Business Data Diagram (BDD). The BDD is one of the most important and useful models we use.

Banking 52
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Data Migration Challenges: Strategies for a Smooth Transition

Astera

Lack of Planning Lack of planning around data migration can cost organizations time, resources, and, most importantly, competitive advantage. The data migration plan should ensure the target system will support all the required integrated tools. Astera does all the heavy lifting involved in a data migration.

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A Business Analyst Who’s Thriving in the Energy Industry: James Dean

Bridging the Gap

At the back of my mind, while this was all going on, I’ve always come across Bridging the Gap and I’ve always seen Laura post on LinkedIn and I’ve always been interested with her posts and articles and even the book, her first book, or I think it was one of her first books. Sorry if I got them wrong.

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What Is Embedded Analytics?

Insight Software

Strategic Objective Create an engaging experience in which users can explore and interact with their data. Requirement Filtering Users can choose the data that is important to them and get more specific in their analysis. Drilling Users can dig deeper and gain greater insights into the underlying data.

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Meet the Oracle Requirements and Unlock the Full Potential of Your Data

Insight Software

Without deep insights into your organization’s operations, your stakeholders lack a clear understanding of company-wide performance and data analysis to shape the future. Key challengers for your Oracle users are: Capturing vast amounts of enterprise data requires a powerful and complex system.