How Do I Use Conditional Feeders in IBM Planning Analytics to Create More Efficient Feeding Logic?

One of IBM Planning Analytics (PA) biggest advantages over other applications is the ability to use feeders. When it comes to issues of sparsity within cubes, feeders improve performance by giving developers a way to prevent Planning Analytics from trying to look through millions of intersections to find all the data to consolidate. Essentially, feeders…

Read More

When should you feed from string cells in IBM Planning Analytics?

While developing an IBM Planning Analytics (PA) model, you may have come across a situation similar to the following:  A rule and feeder are seemingly working correctly, but upon a data change the expected cells are not returning values, implying they are no longer being fed.  Consider the example below showing a simple rule from…

Read More

How can you use an alternate hierarchy to manage security in IBM Planning Analytics?

IBM Planning Analytics (PA) allows administrator (admin) users to control users’ read and write access through different levels of object security. The system provides a set of redefined groups for admin purposes but allows custom groups to be created as well that users can belong to. Planning Analytics admins commonly use security controls to limit users’ access to elements within a dimension. This can be done by setting a security group’s access…

Read More