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Data Filters

Configuring an application level filter will allow you to selectively mark incoming data as public or internal data in order to separate the data coming from your end users from the data generated by your internal development process.

It is beneficial to have a clear data separation between public data and internal data. Public data is considered data from your end users and this is the data that is relevant to dive into in order to understand how your software is being used by your end users. Internal data, on the other hand, is data that is generated as part of your development and testing efforts within your own organization and this data should not pollute the actual data from the end users. For more details on this, including how data can be marked as internal from your code, see the section on data visibility.

The Filters page allows you to configure two types of filter in the incoming pipeline for data in order to identify internal data, namely by IP address or by Version. You can add multiple filters to setup a number of criteria and if one of these filter criterias are met, the data is marked as internal data.

Analytics Client Settings Filter

In the screenshot above, you can see that both an IP and a Version filter has been added. The filters can be deleted and new ones can be added by clicking one of the buttons at the top of the page.

Note that changes to the filters only apply to incoming data and not on the already processed data for the application, so it is recommended to configure these filter as early as possible in your development efforts.

IP Origin Filter

Settings an IP origin filter allows you to mark data as internal when received from any of a list of IP addresses. In the dialog you can enter a list of the IP addresses that you need want to consider producing internal data.

Release Filter

Settings a release filter will allow you to provide a blacklist of versions that should always be considered internal data, regardless of where they are received from.

See Also

Please refer to the section on controlling data visibility for further details on how to use these filtering options.

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