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This video is in German. An English transcript is available below.

💡 Interaction requires a Google account

Add aliases to dimensions

#Attribute #Alias #Dimension

💡 Add an alias attribute to a dimension

Alias attributes provide flexible names for dimension members and can be used directly in sets.

🎯 What you will learn in this short

In this video, I show you how to add aliases to a dimension in Planning Analytics. You will see where to create attributes and select the Alias type.
You will also learn how to use aliases in the set editor.

Create an Alias Attribute

You learn how to create a new alias-type attribute in one dimension.

Maintain alias values

You see how alias names are entered for dimensional elements.

Use aliases

Learn how to use aliases in the subset editor.

✍️ Practical example

Scenario:

Only technical member names are available

A monthly dimension contains only technical element names.

Result:

Clear cube view

The dimension elements have aliases and can be used in the subset editor.

What was covered: Opened a dimension + added an alias attribute + entered alias values

So kannst du Aliase mühelos zu einer Dimension hinzufügen. Öffne dazu die gewünschte Dimension mit Doppelklick, in meinem Beispiel die Monatsdimension. Sobald sie geöffnet ist, klicke auf Attribute und dann auf Attribut hinzufügen. Vergib einen Namen und wähle den Typ Alias. Der Alias ist jetzt angelegt und kann befüllt werden. Trage die gewünschten Alias-Namen ein. Im Subset-Editor kannst du sie anschließend direkt verwenden.

Here is how to add aliases to a dimension. Double-click the required dimension—in my example, the Month dimension. Click Attributes, then Add attribute. Enter a name and select the Alias type. The alias is now ready for values. Enter the required alias names and use them directly in the set editor.

Florian Kaiser

Planning Analytics (TM1) Expert

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In my videos, I share clear and practical solutions from my day-to-day work with IBM Planning Analytics. As an independent consultant, I support companies with the implementation, further development and optimization of their Planning Analytics environment.

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