To access the problem module prediction features,

Analyzes data in the Problems module and assigns technicians with relevant skills to problems.

During training, Zia studies the interdependent relationships between the technician assigned to a problem and details such as subject, description, group, and category, with the first three fields taking equal precedence over category. Zia then uses this relationship history to allocate the right technicians to new problems.

 

If any sites do not contain the necessary number of problem requests with assigned technicians, the training will fail for that particular site, and the prediction rate for the failed site will be null. Zia will then attempt to train the failed sites in subsequent trainings. Click the Prediction Rate on the technician prediction card to view the prediction rate of each site.

 

 

Zia suggests the top three technicians based on the subject, description, group, and category when a problem request is created or edited. Zia's suggestions are listed in the Technician field drop-down in the Add/Edit Problem form and in the right panel.