Kelly Services has over 400 locations with the US for recruiting services. At several of these locations, they have call queues for inbound recruiting candidates to call in. They have about 190 call queues for this portion of the business with each call queue having about 3-5 call queue members, on average. They also have a relatively high turnover rate for these call Queue Members (Recruiters) over 25%. They are also starting to use Business Analytics for their tool to manage this portion of the business and the productivity of the recruiters. The issue they are having is that deleted users are showing up in the Analytics reporting and making it very distracting and inefficient. They use the analytics tool to provide data for the previous work week. As they pull this data, the list of deleted users per call queue is growing very fast and making it difficult to see the data of the actual users of the call queue. There needs to be some type of filter or suppression equation to remove deleted call queue members where no data is present. The only exception of not removing a deleted user is if that user was assigned to the call queue for part of the previous week and took calls (and this user would only show up in the report that one week since the next time the report is run there would be no data for this deleted user). Also, Kelly Services Has user groups set up and filters their reports on the user group. The reason they do this is that the analytics tools was not updating the call queue members when they made changes to the queue members dynamically. Using User groups as the filter metric was solving this.