I am completing the Anaplan Level 1 Model Builders, and surprised the training recommends dummy data. Using dummy data is a red flag with auditors and should be added as an additional attribute in the system.
As far as I know, the creation of a dummy module is indeed considered a best practice at Anaplan, at least for now. However, in addition to the functional areas, I also use Data Tags to tag the module category, though the use of Data Tags is different.
One constraint is the Data Tag column will be in the right-most corner, whereas the functional area column stays first in the Classic UX. But I prefer NMX, which is still in Beta—here you can drag the Data Tag column to the first column next to the model name. We still have more things to come, but I'm not sure about the specific labels you mentioned. Feel free to post it on the Anaplan Idea Exchange; the Anaplan team might consider it💭
Know more about Data tags here I only used it in my testing and Training modules, our team still use best practices suggested by Anaplan (Dummy modules)
bonjour, le certificat de notre ANAPLAN arrive à expiration le 12/06/2026. Est ce vous (ANAPLAN ) qui nous fournissez un nouveau certificat ? Merci Jean-François VENISSE M +33 6 34 16 34 22 jean-francois.venisse@abeille-assurances.fr 80 Avenue de l’Europe, 92270 Bois-Colombes
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A while back, I shared a pattern for extracting and reporting on Anaplan audit data using a Python project hosted on GitHub. I wrote that during my time on the Operational Excellence Group (OEG) at Anaplan. The Python solution still works, and plenty of teams are running it today. The problem it solves hasn't changed:…
