Exporting Reports in Zendesk Explore
How can I export reports to CSV or Excel in Zendesk Explore?
Exporting reports to CSV or Excel in Zendesk Explore is straightforward. You can create a customized report and then export it, ensuring the data is formatted correctly for your needs. If you encounter issues, such as combined columns or repeated entries, adjusting the report's attributes and filters can help.
For instance, moving the 'Ticket updated - Date' attribute from columns to rows and setting the visualization type to Table can resolve common export issues. If problems persist, creating a new query from scratch might be necessary. For more tips, refer to theoriginal documentation.
More related questions
What are reports in Zendesk Explore?
Reports in Zendesk Explore are essentially questions you ask about the data stored in your Zendesk account. They help you analyze and understand various aspects of your business operations. For instance, you might want to know the percentage of…
How do reports interact with datasets in Zendesk Explore?
In Zendesk Explore, reports are built on datasets, which are the data sources containing the business information you want to analyze. When creating a report, you must select a dataset that connects to the relevant Zendesk product data, such as…
What are the components of a report in Zendesk Explore?
A report in Zendesk Explore is composed of metrics and attributes. Metrics are quantifiable data points that represent what you want to measure, such as the number of tickets or updates. Every report must include at least one metric. Attributes, on…
What prebuilt reports are available in Zendesk Explore?
Zendesk Explore offers prebuilt reports to help you quickly start analyzing your product data. These include sample reports and default dashboard reports. Sample reports showcase data from default datasets and can be customized or cloned to fit…
How can I filter data by date range in Zendesk Explore?
To filter data by date range in Zendesk Explore, you need to apply a filter based on a metric, such as the date tickets were created or solved. This allows you to narrow down your data to specific time frames, like a particular month or quarter….
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