3 new Google Analytics 4 updates

Google announced the new updates today in their Analytics Help center.

Data quality icon at the individual card level. Previously, the Data quality icon appeared at the top of the Reporting snapshot report and the overview reports. However, different messages can apply to different cards. With this update, Google Analytics more precisely shows which messages apply to each card in a report.GVDaLHf8zsOe7phN0Tv57OHyksUVspJwsVnF

Why data quality is important. If a data quality icon appears on a particular card, it may indicate that the data for that card is incomplete, inaccurate, or not up-to-date. This could be due to a variety of factors, such as tracking issues, data processing errors, or user behavior changes. By identifying these issues early, you can take corrective action to improve their data quality and ensure that they are making accurate decisions based on their data.

In addition, the data quality icon can also help you identify areas where you need to focus your efforts to improve data quality. For instance, if multiple cards in a report have data quality issues related to a particular data source or tracking tag, you may need to address those issues and improve data accuracy and completeness for that source or tag.

A new “(other)” row message in the data quality icon. The “(other)” row appears when a report is affected by cardinality limits, which results in the less common data beyond the limits grouping into an “(other)” row. In this new message, you now have several ways to reduce or eliminate these cardinality limits.

All properties now have a one-click option to create the same report in Explore. The “(other)” row never appears in Explore because it uses raw, event-level data.

For 360 users. Google Analytics 360 properties also have access to expanded data sets, allowing you to flag up to 100 reports per property as high priority. Google Analytics permanently removes the “(other)” row from the reports you’ve flagged.here.

Why we care. With the new updates, you should be able to quickly identify and address potential data quality issues, allowing you to make more informed decisions and improve the effectiveness of your campaigns.