You can easily create multi-level hierarchies in your pivot view.
Set Up
In this example, navigate to Anaplan XL menu, select Connections, and connect to a SQL Server database, such as AdventureWorksDW2014. Choose OK.
Creating a grid on this connection will prompt you to define the query. This'll then automatically create a pivot view. Alternatively, right-click on the connection in the connection screen and select Add Pivot View.
If you make a grid on this view, you will have the All member and then a list for each of the available levels. For example, when you expand Order Date, you'll see a list of all the members in that level. This would enable you to select days individually, but a hierarchy with year and month groupings would give a lot more flexibility.
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Edit a pivot view
Go to Manage Connections and you'll see a Pivot View connection. This is the Anaplan XL view of the flat SQL-based data. Edit the Pivot View connection to define multi-level hierarchies.
This'll open the Pivot View Definition Dialog.
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Multi-level hierarchies
To manage multi-level hierarchies:
- Drag and drop fields from the right side over to the desired hierarchy. For example, you can define the product hierarchy by dragging Model across onto the Product Category dimension.
- Levels can be re-positioned by dragging and dropping levels above/below each other.
- Right-click on a hierarchy or level to rename or delete it.
Calculations
Set up a date hierarchy with Year, Quarter, and Month levels based on Order Date.
Drag OrderDate from the right-hand side of the window to the Order Date hierarchy. You can do this as many times as required – once for each level you wish to create.
Right-click to use the pre-defined calculations and then repeat the process for Quarter and Month name.
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Add a grid
The newly created hierarchies are now available when you add a new grid or edit the originally added grid.
For example, design a new grid with Region and Measures as Filters, Order Date on columns, and Product Categories on rows.
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Drill down into the order date and you'll see the Years, Quarters, and Months as defined as well as Product Categories at a Model level.
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