Discover is easy to learn as well, all you need to know are a few simple terms:
A collection of data sets that users can query. Fuze Discover currently has three Explores based on different sets of data: Calls, Meetings, and Queues.
A groupable field used to filter query results. Examples of dimensions include:
- an attribute, which has a direct association to a column in an underlying table
- a fact or numerical value
- a derived value, computed based on the values of other fields in a single row
A field that uses an aggregate function, such as COUNT, SUM, AVG, MIN, or MAX. Any field computed based on the values of other measure values is also a measure. Measures can be used to filter grouped values.
A Look is a saved report built in an Explore that can be retrieved by name and shared with other people in the organization. Looks can also be added to Dashboards.
A collection of saved Looks displayed like tiles together on one page.
You can restrict the data you’re viewing to items of interest by adding filters. For example, you might limit the results to certain dates, customers, locations, or anything else that is part of your data. Any field in your Discover instance can become a filter.
Multiple dimensions are often easier to look at when you pivot one of the dimensions horizontally. After clicking “Pivot” for a particular dimension, each value in the dimension will become a column in your Look. This makes the information easier to consume visually, and reduces the need to scroll down to find data.