Each time you change the parameters or filters of a given report, and export the report to a given format, you have generated an "output".
Some product prices are based on "Peak Report Outputs", sometimes also referred to as Maximum Daily Outputs or Peak Usage. This is the number of report outputs expected on the busiest day of the year.
A simple formula is used to determine the peak report output.
(Data Count *Report Count * Destination Count) = Total Report Output
Data Count: The number of external records used to drive any given schedule. For non-dynamic schedules (i.e. Single Schedule), this will always be 1.
Report Count: The number of enabled reports in a schedule. A single schedule would be 1. A package schedule could be 2 or more. A data driven schedule would be 1 as there is only 1 report used.
Destination Count: The number of enabled places/formats the report will be delivered to. If a data driven schedule only sends reports by email in PDF format, then it would 1. If it sends to both email and SharePoint, then it would be 2.
Schedule Type - Output Examples
Single Schedule
I have a Single schedule with static data that runs once a week. This 1 report will be emailed to a group in an excel format.
Resulting count: (1 * 1 * 1) = 1 Report output
Package Schedule
I have a Package schedule that includes 3 reports. 3 reports will be generated and emailed to 3 employees and uploaded to SharePoint.
Resulting count: (1*3*2) = 6 Report outputs
Note: The number of people who are emailed the report does not affect the outputs in this example.
Dynamic Schedule
I have a Dynamic schedule that runs against 15 records per day. For each record, 1 report will be generated in a .docx format.
Resulting count: (15*1*1) = 15 Report outputs
Data Driven Schedule
I have a Data Driven schedule that runs against 20 records per day. For each record, 1 report will be generated. All reports will be in PDF format.
Resulting count: (20 * 1 * 1) = 20 Report outputs
Bursting Schedule (CRD only)
I have 1 Report that CRD bursts into 10 group values. Each group value will be sent via email and uploaded to an FTP site (so 2 different destinations).
Resulting count (10*1*2) = 20