![]() (This happened in the middle of the project, as part of transitioning from requirements analysis to technical design.) Then I created a conceptual entity relationship diagram (ERD) because we needed a way to blend our new business concepts into our pre-existing database structure.(This happened at the beginning of the project, as part of defining scope and understanding the current state.) I chose to start with data mapping because I needed to understand how the information flowed from the paper-based forms to the existing information technology system.This can start to get a little theoretical, so let’s start by looking at a sample project, why I chose each technique, and how they fit into the business analysis process. This particular project was a customer-facing information management system that was designed to replace a forms-based paper process. ![]() (By the way, if you are looking to learn more about data modeling, be sure to check out our Free Data Modeling Training.) A Case Study in Selecting Data Modeling Techniques In this article, you’ll learn what data modeling techniques to consider in specific project contexts so that you can leverage your business analyst tool box in the best possible way on any given project, making you more effective and part of driving more successful project outcomes. Part of the value the business analyst provides is selecting techniques to ensure the requirements for a project are fully analyzed and understood. Data modeling can be a significant part of the project requirements to rightfully non-existent, even for a software project.
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