The reporting experience, especially for properties with large, complex data: Data quality icon on each card: Previously, the data quality icon appeared at the top of the "Report Summary" report and "Overview" reports. However, different messages may appear on different cards. In this update, Google Analytics more accurately shows which messages apply to each card in a report. And why does data quality matter so much? If a data quality icon appears on a specific card, it may indicate that the data for that card is incomplete, inaccurate, or out of date. This can occur due to several factors, such as: tracking issues, data processing errors, or changes in user behavior.
Identifying these issues early, you can take corrective action to improve data quality and ensure they make accurate decisions based on your data. Additionally, the data quality icon can also help you identify areas where you need to Italy Email List focus your efforts to improve data quality. For example, if multiple cards in a report have data quality issues related to a particular data source or tracking tag, you may need to resolve these issues to improve data collection. “(other)” is now a new line in the data quality icon. The “(other)” row appears when a report is affected by cardinality limits, which results in less common data beyond the limits being grouped into an “(other)” row. In this new message, you now have several ways to reduce or eliminate these cardinality limits.
All properties now have the one-click option to create the same report in Explore. The “(other)” row never appears in the Explore report because it uses raw event-level data. Don't know or remember what cardinality is? We have a complete article about Google Analytics 4 data sampling here! Attention Google 360 users! Google Analytics 360 properties also have access to expanded datasets, allowing you to flag up to 100 reports per property as high priority. Google Analytics permanently removes the “(other)” row from reports you flagged. This can be particularly useful for companies that need to have very accurate and complete data for specific The new message in the data quality icon provides several ways to reduce or eliminate cardinality limits, allowing you to have more complete and accurate data.