Discussions

Hello everyone. I recently updated one of my existing models after receiving a new set of assumptions, and now I am trying to understand the most reliable way to compare the new outputs with the previous version. At the moment I am exporting the results into spreadsheets, but this becomes difficult once there are many scenarios and multiple revisions over time. I am wondering if there is a recommended workflow for tracking changes without creating dozens of duplicate files. It would also be useful to know whether experienced users keep archived versions of the model or rely on version control outside the platform. I would appreciate any practical suggestions or examples from projects you have worked on, especially if they helped reduce mistakes when validating updated results.

Hi everyone, I have been working with increasingly larger datasets and models, and I have reached a point where keeping everything organized has become more challenging than running the simulations themselves. I am interested in learning how experienced users structure their workflow when a project evolves over several months. Do you usually separate scenarios into different workspaces, rely on a naming convention, or keep everything together and document changes elsewhere? I would also like to know whether there are any common mistakes that are easy to avoid when maintaining long term projects. I have read through some of the documentation, but I would really appreciate hearing how people manage this in practice. Thanks in advance for sharing your experience.

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