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  • Discrepancy between Google Analytics 4 v1beta and Azure SQL data

    Posted by Sophia on 28 June 2023 at 5:56 am

    I’ve set up an ADF pipeline to pull data from Google Analytics 4 version 1beta into Azure SQL. But when I compare the data, things don’t add up. The numbers for metrics in the SQL table are higher than what’s in the Google Analytics report, except for just 2 metrics which are bang on. Is this a glitch, or is there something I’m not getting?

    Aubrey replied 11 months, 2 weeks ago 3 Members · 2 Replies
  • 2 Replies
  • Charlotte

    Member
    2 July 2023 at 8:32 am

    It is not necessarily a glitch. Discrepancies in data between Google Analytics and Azure SQL could arise due to several factors. Sometimes it can be due to the way Google Analytics and Azure SQL process and filter data. If you are using any sampling or filters in Google Analytics, this can result in different numbers in reports than what is pulled into Azure SQL. Or, the methodology behind how each platform calculates metrics can be different. In addition, data in Google Analytics can undergo processing delay, which can cause variation in real-time data. Lastly, it’s important to make sure the time zone settings match in both platforms. If these settings are different, the data between the two platforms won’t align. You should re-check your pipeline and transformation rules and your configuration in both Google Analytics and Azure SQL.

  • Aubrey

    Member
    7 July 2023 at 9:12 am

    This may not necessarily be a glitch. The discrepancy could be due to a variety of reasons. One common reason for such variation is the difference in the way data is processed and aggregated in Google Analytics and Azure SQL. Also, it’s possible that there might be duplicate data in your Azure SQL tables. Google Analytics deduplicates your data, whereas Azure SQL does not.

    Moreover, the data in Google Analytics can be sampled, especially if you’re querying a large amount of data. This could result in lower numbers in Google Analytics compared to Azure SQL.

    There could also be a time lag in data reflection. Data pushed to Azure SQL might contain the latest events not yet displayed in Google Analytics reports, hence the higher numbers in Azure SQL.

    Remember, the data pulled via API might also contain more detailed raw data compared to pre-aggregated report metrics you see in Google Analytics interface.

    Do double-check your pipeline settings and all configuration details. If everything still appears to be configured correctly, you should consider reaching out to Azure or Google Analytics support for assistance.

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