To increase the speed at which google analytics compiles reports, what action could be taken?
- a) Remove any filters you have added to the view
- b) Choose “Greater precision” in the sampling pulldown menu
- c) Remove any Secondary Dimensions you have added to the report
- d) Choose “Faster response” in the sampling pulldown menu
Reveal the Answers
Correct Answer is: Choose “Faster response” in the sampling pulldown menu
Explanation:
The speed with which a Data Studio report loads and responds to user changes, such as filtering or period changes, depends on a number of factors, such as the following:
- The performance of the underlying dataset
- The amount of data that is queried in the report visualizations
- The complexity of the queries
- Network latency
Some of these factors are beyond your control or that of Data Studio. For example, there is little you can do to improve the responsiveness of the underlying data platform or increase the speed of your network connection. However, there are steps you can take to improve the performance of your reports in Data Studio.
Performance tuning can cause imbalances between speed and responsiveness on the one hand, and between updating data and user personalization on the other. These tips may not be suitable for all clients.
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