Troubleshooting reporting and data discrepancies in Analytics

If you notice inaccurate data, use this guide to troubleshoot and work through several reasons why your reports might be incorrect. Then, use that knowledge to correct your reports and better present your data.

This article contains the topics below:

Check metrics and attributes

Check filters

Check the time frame

Cross-check with the source product

Check metrics and attributes

If data doesn't match, check the description or formula of the metrics and attributes used in your report.

Check filters

Verify or remove your filters. Filters exclude specific types of data. For example, if you filter your data with the Ticket created - Date attribute, the report shows the number of tickets created on each date. On the other hand, if you slice the report with the Ticket solved - Date attribute, the report shows the number of tickets solved on each date. As a result, the number of tickets may differ.

For more information, see

Filtering a report

Best practices for using Explore dashboard filters

Check the time frame

Filter your data to the same time frame as the data you want to validate. The timeframe in your reports and dashboards depends on date filters. Use the resources below to learn more and check your reports:

Editing dates and date ranges

Adding interactive dashboard widgets

Cross-check with the source product

Different tools have different definitions of data. When you compare Analytics reports with other tools, you might see discrepancies, see

Understanding discrepancies between Explore reports and exports

Understanding discrepancies between the Talk Live calls dashboard and the Explore live dashboard

Understanding discrepancies between Guide and Google Analytics data in Explore

Note: The time zone in the profile of the viewer can also cause a data discrepancy.