Hi Team,I am trying to create viusualization between Application, Custom Intake Responses & Awards collection but "award amount" value is not showing up in the "Analyze " from the list of attributes

Hello Anjali, Thank you for reaching out to us. Could you please provide the link to the workspace? Thank you.

@Ismail Karafakioglu https://wizehive-zengine-dev.cloud.gooddata.com/modeler/#/XBjxAV_G9HZ4vnfPx2x4Bkq06B2_1ezmbG7u

Thank you for the link. I checked Award Amount in Analyze and I can see it is listed and shows values. I will attach a screenshot. Please correct me if this is not the issue. Thank you

Please pull applicant Name, Any question from Custom Intake Response & then try to pull "award amount"

Hi Anjali, Thank you for explaining it. The issue stems from how datasets are connected. A measure (like Award Amount from Awards) can only be sliced/filtered by attributes that are in the same dataset or that have an oriented path to that dataset following the direction of the arrows. If no oriented path exists from Intake to Awards, attributes from Intake (e.g., Intake Status) become incompatible and the measure gets hidden in Analyze. This is why adding Intake Status hides Award Amount—there’s no valid (arrow-direction) path connecting Intake to Awards in your model. GoodData hides incompatible items and filters to prevent invalid queries. You can fix it by ensuring a 1:N relationship path exists from Intake to Awards in the arrow direction that reaches the Awards dataset (e.g., Intake -> Applicant -> Awards), or connect Awards so that its path points back toward Intake. Create relationships in the LDM Modeler using the originating-to-target arrow and foreign key selection. If the business logic is many-to-many (e.g., a bridge between Applicant/Intake and Awards), consider an M:N setup (bridge dataset) so measures in Awards can be sliced by attributes across the model; otherwise, they’ll stay limited by one-to-many reachability. I will here attach some documentation that might be useful to you. Model Data Reading the Model Rules of data modelling Common Pitfalls Create relationship between datasets Many to Many relationship Thank you.