One of the first things to think about when creating a new workflow is your data model. A data model structures relevant information to your workflow using multiple fields.
Fields as similar to columns in a spreadsheet. For example, if we want to capture customer information, we could create the following fields:
When creating fields in Flowdash, along with a name you also need to specify a data type.
When working with data, it's very important to ensure your data remains clean to avoid downstream problems. For example, capturing an invalid customer
Launch Date is a sure way to disrupt business operations. That's where data types come in.
A type defines what kind of information should be stored within a field, and provides safeguards when performing data editing. The following types are currently supported in Flowdash:
Date & Time,
Updated 5 months ago