Data Manager
Upload data collections that can be mapped to data-driven activities and used for data tracking purposes.
Last updated
Upload data collections that can be mapped to data-driven activities and used for data tracking purposes.
Last updated
You can create multiple data collections. Each collection can contain one or more data uploads. Read the data format and upload specs here.
Each collection upload must have the same column headings as the first upload, but additional columns may be appended.
There are three ways in which to identify users in the data upload:
User ID or code - this option requires you to have a User Code column heading, e.g. Employee Code, Identity Number, etc.
Email - data in this column must contain valid email addresses.
Telephone - data in this column must be formatted using the international standard: +2712345678.
Coming soon
You can edit cells (apart from headings) directly in the data uploaded.
To clear or delete a row/column, right-click to open the options menu.
You can search your data using the search feature (top right)
When a row is deleted, the row number is also deleted, e.g. if you delete row 5, there will never be another row 5 in that upload.
Linked Collections have been linked to one or more integration points
Not Linked collections have been uploaded but are not actively being used anywhere.
Data
Options/Limits
File format
Uploads must be in .csv
File size
Maximum collection size is capped at 34.33MB
Columns
Maximum 20 columns per upload
Headings
The first row will be the column heading. Heading names must be consistent for each upload, although additional columns may be appended after the first upload.
Rows
Maximum 200 columns per upload
Collection
A collection can consist of up to 20 different uploads
Total Rows
The total number of rows can be 20 000 (in 20 uploads)
Unique Identifier
Each data upload must contain at least one unique identifier. International formatting standards are to be observed.
Format
Example
Parsed As
DD/MM/YYYY
01/12/2020
01 December 2020
D/MM/YYYY
1/12/2020
01 December 2020
DD/M/YYYY
01/1/2020
01 January 2020
D/M/YYYY
1/1/2020
01 January 2020
DD MONTH YYYY
01 Feb 2020
01 February 2020
DD LONG_MONTH YYYY
01 February 2020
01 February 2020
YYYY-MM-DD
2020-03-01
01 March 2020