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Before you start any PhixFlow project, it is important to understand your data and what you need to do with it. For large projects this means detailed analysis using an Entity-Relationship Diagram (ERD).
For this example, a sales team is using an Excel spreadsheet to manage a list of customer businesses and associated contacts. You want to make it easy for the team to access and maintain the data. You also want to add some simple CRM functions, for example, to add descriptions about the business.
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PhixFlow has many options that you can use to define the data, its properties and relationships. But if you already have data available you can quickly and easily load it into PhixFlow. The following video guides you through this process.
Download the Excel file
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How to
Connect PhixFlow to existing data
Set the data properties
In the stream properties on the right, set: Basic Settings → Period to Transactional
Why? Usually PhixFlow is optimised for processing large volumes of data. You are aiming to create a form for users to update individual data records (transactions). This tells PhixFlow how you want to manage the data. Tick Audit Manual Changes dd Why? This data will be updated manually by individuals. By ticking this box, PhixFlow will add a set of attributes to automatically record audit information about changes. - Click
Apply and then click on the Pin to keep the stream properties open. In the Attributes section, double-click Description and change its Type to Bigstring then click Apply and Close.
Why? When you create a form for the data, PhixFlow recognises that data with the type Bigstring needs field edit tools.
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Explore the possibilities
Look in the Attributes section. When you connect PhixFlow to the Excel spreadsheet, it automatically identifies the properties of the data columns (attributes) such as their type (string, numerical) and length. This also happens when you connect PhixFlow to data stored in databases.
You have now imported the spreadsheet data into PhixFlow.
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You are now ready to create a simple view of this data for users.