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The evaluation form is currently provided to generate sample data in order to be able to quickly try out features.
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The sample data is randomly generated and will differ each time it is generated.
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The evaluation form is provided to generate sample data in order to be able to quickly try out features.
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The sample data is randomly generated and will differ each time it is created.
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In addition there is a link to receive technical support while evaluating AyaNova and get answers to any questions that are not covered in this manual.
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## Coming soon
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## Generating sample data
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Coming soon is a more comprehensive evaluation system that also allows for configuring major AyaNova settings (for example turning off or on inventory) so that it's possible to try out and get started using AyaNova with features set that more closely match the needs of the business.
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The _Generate sample data_ button in the evaluate page opens a dialog to select the quantity of sample data you wish to generate and set the time zone desired for the sample data to be generated within.
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### Seed level
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This setting controls the amount of data generated. The options are small, medium, large and huge. Each option will generate progressively _more_ data than the last. The actual types of data generated are the same, only the quantity differs.
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### UTC offset
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This setting exists to generate data within typical work day hours so that there aren't work orders scheduled for midnight or 3am for example.
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This field is automatically set based on the time zone of your device but can be set to any time zone offset desired.
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### Start job
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The start job button will prompt if you're sure twice as this operation will erase any existing data. Once confirmed, the server will start the data generation job. While data is generating the server will be locked from access.
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## Sample Users
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@@ -17,4 +34,4 @@ When AyaNova is in evaluation mode the login form has a list of sample User acco
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## Evaluation
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We recommend evaluating AyaNova with the sample data _before_ erasing it and using your own data as it's easier to try things out when all required data is entered.
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We recommend evaluating AyaNova at first, with the sample data, _before_ erasing it and entering your own data as it's easier to try things out when a full set of data is available.
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