Create a Data Explorer report

Reports are the building blocks of Data Explorer that help you visualize trends in your data. You create a report by defining the question you want to answer and configuring the output so the answer is presented in a meaningful way.

To start the process, you break the question down into its individual parts:

  • Measures—The metrics you want to understand. These are numerical fields that will have calculations performed on them, such as adding or averaging.
  • Subjects—How you want the metrics grouped. These are text fields that are used as category-style groupings, such as agent ID number or queue name.
  • Filters—The boundaries that you want the metrics to fall within, such as a time frame or maximum/minimum values.

You want to find out how many contacts that lasted longer than ten minutes were handled by each agent on the East Coast team during the month of March.

  • The measure is contacts.
  • The subjects are the agents on the East Coast team.
  • The filters are contacts longer than ten minutes and the month of March.

These three components make up the structure of reports that can be incredibly complex and useful.

Once you have created the question of the report, you can then determine how the information in the report is displayed. There are a wide variety of customizable charts and tables to choose from.