1. Configure a data file connection.
2. Prepare a CSV file.
3. Upload the CSV file to the file system of the selected application with which you have a connection (e.g., Dropbox, Google Drive, etc.).

1. From within Settings, expand Data Management > Customer Data Hub.
2. From the list of active connectors (left), choose Data Files.
3. From the list of available connectors, hover over the connector you have configured, and click View Integrations.
   
4. Click +Create Integration.
5. Choose from the available objects to import.
   
   A new integration page appears, based on the selected object (e.g., New Accounts Integration).
6. In the Select Data Source area, locate the CSV file hosted within the selected application's file system. 
   
7. Once the file is selected, an additional section appears for mapping and formatting data fields. Totango attempts to map the columns in the source file (CSV) with attributes in Totango. Required attributes (keys) are mapped at the top of the list.
8. Ensure that each source field (left) maps to the desired Totango attribute (right).
   
   • For each source field, you can edit the source format. This option is often used for dates, where Totango will transform the raw data from your file into the formatting you specify.
   • For each Totango attribute, you can choose a different attribute to map to if the auto-mapping wasn't correct.
   • Totango may also denote attributes to add as new if it didn't find an existing attribute. (Supported data types for adding new from the integration job include Text, Number, Currency, Date, Foreign Key.) 
   • Hover next to a mapping to remove it from the integration job. This option is useful if you don't want to modify the source file but want to skip a column.
   • Hover next to a mapping to optionally add a note to reference later or document the logic behind this mapping.
   • You can add new mapping to re-use a column from the data file or open the Function Editor and add a constant to all rows or some other logic.
9. Click Validate Mapping. The validation must be successful in order to proceed.
10. Preview the data in the file to ensure it looks correct.
11. From the Settings section, set the following:
    • Name: Because you can later import data for the same object, a name and description helps  you identify the job later.
    • Description: Add a description for the job.
    • Allow new accounts creation: Allow new records to be created during the integration. If disabled, only records that already exist in Totango will be affected by the upload (e.g., attribute values may be set but new records will be ignored).
12. From the Schedule section, set the following:
    • Run: Choose the recurring schedule you want this job to run.
    • Upload immediately after saving: Run the job now and then run according to the schedule thereafter, or run it according to the next schedule only.
    • Enable integration scheduling: Allow the scheduling job. If unchecked, the job will be saved in a disabled state.
      
13. Click Save and Upload.
14. The job is saved, and you can monitor upload progress in real time. The sync status changes automatically as the job completes. Upload time is measured from the beginning of the file upload until it is available in the UI.
    
15. Click inside a job to view more details.

Imports for most objects will be immediately reflected in the UI of Totango once the processing is done for the selected schedule (e.g., accounts, users, collections, etc.). Usage data uploads (activity stream and aggregated usage) will be reflected in the UI once a day.