Dashboards with underperforming data sets When your data sources are unresponsive or slow, you will almost certainly have an underperforming dashboard for all the reports that rely on them. Fetching large data sets directly from such sources is frequently the cause of slow dashboard loading in Google Data Studio.
How to Speed up Slow Dashboards Using Extract Connector For this tutorial, we will be using the Sample Google Analytics data. 1. Add your data source How to Resolve Slow Reports on Data Studio Using Extract Connector 2. Add the Extract Data connector to your report How to Resolve Slow Reports on Data Studio Using Extract Connector 3.
Select your data source How to Resolve Slow Reports
Data Studio Using Extract Connector 4. Click on Save and Extract How to Resolve Slow Reports on Data Studio Using Extract Connector 5. Start working on your report! How to Resolve Slow Reports on Data Studio Using Extract Connector What is the Extract Data connector.
Google’s Extract Data connector allows you to extract and store data from the source before using it in C Level Executive List your reports, ensuring you have the most up-to-date information without experiencing slow load times. Some advantages of using the Extract Data connector include.
Faster loading times More responsive report
It’s free to use More control over data stored However, there are some limitations to using the Cn Leads Extract Data connector. There is only a subset of data available. The data is not real-time, but is refreshe at regular intervals. A single connector can only hold 100MB of data. The Extract Data connector produces quick reports but has a limited number of fields.
It’s best suite for reporting on a small number of metrics that you need regularly. Other Ways to Speed Up Data Studio After we’ve identified the potential causes of our dashboards’ slow loading, we can move on to solutions that can improve their performance. Whether you’re working with large or small data sets, following these tips will help your Data Studio load faster.