4 Data Modeling Techniques that Solve Tricky Project Challenges

Business analysts solve tricky, icky, sticky project challenges using data modeling techniques. There are 4 data modeling techniques you should get to know as a business analyst, so they can become part of your BA toolbox.

(By the way, we’ve put together a virtual class covering each of the data modeling techniques you need to know – Data Modeling for Business Analysts.)

  • Entity Relationship Diagram – A handy tool that helps visualize relationships between key business concepts to encourage business-focused database designs.
  • Data Dictionary – A spreadsheet format that enables you to communicate to business stakeholders clearly and in an organized way, eliminating long lists of fields inside use cases or other requirements document.
  • Data Mapping – An essential template for a data migration or data integration project that will ensure any data-related issues are discovered and resolved ahead of the last-minute data crunching that often derails big projects.
  • Glossary – Along with encouraging more effective communication among stakeholders, clarifying your requirements documents, and helping you learn about a new business domain, a glossary will make the rest of the data modeling techniques easier, as you’ll be working from a clear and unambiguous collection of terms.

Take a look through all 4 of these articles and make yourself more adept at both data modeling and handling tricky project challenges.

>>Learn More About Data Modeling

We’ve published a 10-article series on getting started with data modeling, where we are covering the most frequently asked questions business analysts have about applying data modeling techniques.

Click here to check out the articles

And also be sure to check out Data Modeling for Business Analysts, a virtual course where you’ll learn a structured approach for incorporating data modeling into your software development projects, even if you don’t have technical skills.

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