About the Usage Report
Understanding the Usage Report
The Usage report enables you to monitor and track the metrics that are associated with your contractual consumption limits. Use this report to anticipate and proactively manage potential overages of system resources.
To view the report, click
Insights on the navigation bar and click Usage
Report.
By default, the report is available only to users who are assigned the Super Admin role, are an Admin type user in SAS Customer Intelligence 360, or are specifically given access to the report. Administrators can enable additional users or groups to view the report. For more information, see Setting Permissions for Reports.
Use the Download button to retrieve the data for the report. For more information, see Downloading the Usage Table.
Here is an overview of the usage reports. You can find more specific details in each report.
- The Sessions report shows the number of web and mobile sessions that users started on your site or mobile application during the selected date range. A user session occurs when a user visits your site or uses your mobile application.
- The Emails Previewed report shows the number of requests to generate email previews using the Preview Email or Spam test options in the Review tab of the email task during the selected date range. This report does not include the requests that use the Responsive previews option.
- The Plan Users report shows the number of users who have access to SAS 360 Plan during the selected date range.
- The Data Storage report shows the gigabytes of storage that were used during the selected date range. The storage includes assets that are imported into SAS Customer Intelligence 360 and the data that is uploaded and stored in the cloud. Only data that is uploaded by the user is counted in the Data Storage report. The report does not include data that is used by the UDM and the CDM, or any data that SAS Customer Intelligence 360 generates to run the application, such as summary tables, analytical base tables, or the identity management table.
- The Data Subjects report shows the number of data subjects during the selected date range. A data subject is a unique, anonymized identifier that refers to a record that represents a unique individual or organization. Each unique anonymized identifier counts as a single data subject even if the unique individual or organization that it represents appears in multiple data marts.
- The API Usage report shows the number
of application programming interface (API) endpoints that were called during the
selected date range. An API call is a request to an API that is provided by
SAS Customer Intelligence
360.
You can manage the columns in the report table. Your settings are stored and remembered during subsequent visits to the report.
- To hide a column, click
next to a column title for a table and select Hide column. You can hide all but the first column in a table. When you hide a column in a report, the column is not exported.
- To reorder, add, or hide columns,
click
next to a column title for a table and select Manage columns.
Note: This option is available for non-hierarchical (non-expandable) tables only. - To hide a column, click
- The Audience Rows Processed report
shows how many rows of audience data were successfully processed by SAS Customer Intelligence
360 during the selected date range.
Note: This report requires a license for SAS 360 Audiences. To learn more about audiences, including how to purchase it, contact your SAS representative.
The Destinations report shows the usage of channels such as email, web, mobile, and social media.
Note: This report requires a license for SAS 360 Destinations. To learn more about destinations, including how to purchase it, contact your SAS representative.The Destinations SMS report shows the usage of the SMS messaging channel.
Note: This report requires a license for SAS 360 Destinations SMS. To learn more about SMS destinations, including how to purchase it, contact your SAS representative.- The Profiles Processed report shows the number of customer profiles (identities) that were processed using a specific license.
Data for the Sessions, Impressions Delivered, and Emails Attempted tabs are available from the start of your SAS Customer Intelligence 360 billing history. Data for the Emails Previewed, Plan Users, Data Storage, and Data Subjects tabs are available from the 22.04 release (April 2022).
Downloading the Usage Table
When you download the report data from the user interface, you receive the following files:
- a ZIP file that contains a file with usage data that is aggregated monthly
- a file with usage data that is aggregated daily
- the schema file that defines the structure of all the tables in the database
For more information, see Usage Tables in SAS Customer Intelligence 360: Data Dictionary and About Downloading the Data Tables in SAS Customer Intelligence 360: Administration Guide.
The files that are downloaded from the user interface use these characters to delimit the columns in the tables:
- The ^ character is used to separate all the fields in a row.
- The bc_subjcnt_str column contains
entries that are structured as tuples. Each data tuple contains these
items:
- business context name
- subject ID
- count
The items in each tuple are separated with the : and % characters, respectively. For example:
business_context_name:subject_ID%count.When a record contains multiple tuples, each tuple set is separated by the ! character.
- The api_usage_cnt column is a string
that is structured as a JSON object. Each pair of name of value is separated by
a pipe ( | ) character.
For example:
{'<api_name>': <number>| '<api2_name>: <number>}
For example, consider the following simplified table with the last four columns of the Usage report.
|
db_size |
asset_size |
bc_subjcnt_str |
api_usage_str |
|---|---|---|---|
|
96.92 |
1.03 |
MicrosoftAzureContext : SUBJECT_ID_CUSTOMER_12 % 6543986 OracleBigDataContext : SUBJECT_ID_CUSTOMER_232 % 5032680 AWSContext : SUBJECT_ID_CUSTOMER_114 % 4032167 |
{'discover': 18.0| 'marketingData': 20.0} |
|
156.50 |
20.32 |
MicrosoftAzureContext : SUBJECT_ID_CUSTOMER_37 % 2008759 OracleBigDataContext : SUBJECT_ID_CUSTOMER_86 % 1002345 AWSContext : SUBJECT_ID_CUSTOMER_098 % 7865438 |
{'config': 11.0| 'token': 22.0| 'planning': 33.0} |
The two rows are formatted in the downloaded table as follows:
96.92^1.03^MicrosoftAzureContext:SUBJECT_ID_CUSTOMER_12%6543986!OracleBigDataContext:SUBJECT_ID_CUSTOMER_232%5032680!AWSContext:SUBJECT_ID_CUSTOMER_114%4032167^{'discover': 18.0| 'marketingData': 20.0}
156.50^20.32^MicrosoftAzureContext:SUBJECT_ID_CUSTOMER_37%2008759!OracleBigDataContext:SUBJECT_ID_CUSTOMER_86%1002345!AWSContext:SUBJECT_ID_CUSTOMER_098%7865438^{'config': 11.0| 'token': 22.0| 'planning': 33.0}