Firstly, they can be used to help users justify that their selections are correct and that their logic has picked records that have the characteristics that they were expecting.
Secondly, they are used as the mechanism for exporting data records out of Discoverer for marketing purposes – for instance to be uploaded to an email broadcaster for a campaign.
“Data Grids have two primary cyprus mobile phone numbers purposes - justifying selections and exporting data records for marketing purposes.”
Attribute details that are included within the export data can then be used within the message that is sent out. Typically those attributes will include customer data such as name and addresses.
Often, there is a need to include transactional level data, such as last product bought or last purchase date, within the message to increase personalisation.
Occasionally there is the need to include transaction level detail from multiple different sources (e.g. last product bought, last communication date, last website visit etc).
Previously producing data grids that include these details has been difficult, but in this blog, we introduce a new development that will make this a lot easier.