By default, Line and Column visualizations use separate vertical axis value ranges for the two measures in a visualization. In some circumstances when your visualization contains two similar measures, this can result in a visualization that, while accurate, does not provide a clear visual...
You can build custom workflows to set up and manage work processes, defining procedural rules, such as who can edit data and whether changes to data need to be approved. In this video demonstration, we'll set up two users: Bob, a finance user who does planning for his team The performance...
As of version 2.0.35, IBM Planning Analytics Workspace uses an optional column-based visualization model. This is a significant enhancement that eliminates the need to worry about a defined measures dimension when creating visualizations. However, you'll see this new visualization model only ...
Planning Analytics Workspace version 2.0.35 introduces a new column-based visualization model that simplifies the creation of charts and other visualizations. IMPORTANT : The initial introduction of the column-based visualization model in 2.0.35 can be enabled or disabled by your...
One of the most powerful and complex features of TM1ยฎ is data spreading. You can apply predefined data spreading methods to distribute numeric data to cells in a cube view. Presto! you've written large amounts of data into your TM1 database in the blink of an eye. You can also use data...
You can drag and drop a file onto the dimension editor to create a new dimension or a new hierarchy of an existing dimension in Planning Analytics Workspace. When you import a file in this manner, you can create parent/child relationships in a dimension or hierarchy, and even create or update...
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Did you know that you can reserve a dimension in Planning Analytics Workspace to prevent other people from editing the dimension while you are working on it? When you reserve a dimension, any changes are not saved until you commit the changes (unlike when you work on an unreserved dimension,...
IBM Planning Analytics Workspace boasts powerful analytics capabilities that let you identify exceptions in your data easily. You can make these exceptions stand out by using conditional formatting in Planning Analytics Workspace. Here's a table without any conditional formatting: ...
There are a number of features in IBM Planning Analytics Workspace that help you to work in large dimensions in the set editor. For example, you can... Expand deep dimensions down to their lowest levels using Expand to descendants. Drill down on members either from the right-click...
A powerful feature of Planning Analytics Workspace is that it lets you perform what-if analysis with write back to your TM1 database. To make your data entry even easier, you can take advantage of these tips and tricks: Cell color can often tell you whether you can edit a cell. Learn more about...