I am trying to integrate Google Analytics data with Microsoft Power BI, however, the results are different in Power BI from the actual Google Analytics report. Why is this happening? Is there any other API that helps you integrate Google Analytics data with Power BI data?
Googe
When you use the standard GA connector in the PBI, if you put a period longer than 30 days, it applies an algorithm on the data, and brings false data to periods longer than 30 days, use the GA APIS.
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I was tasked with creating multiple PowerBI reports and dashboards that encompass our website data from Google Analytics (GA). I started with our primary website, and used the built in custom connector from PowerBI to consume this data. This connector, however, is "supported" by Google, and I'm having some issues with the data.
Google Analytics Data
PowerBI Data
As you can see in these two screenshots, some of the data matches, and some of it does not. The time frame for both screenshots show for Nov. 2019. I understand there may be a little bit of data discrepancy; however, the custom connector in PowerBI does not allow for me to show the unique users. This is one of the most important attributes to any websites as it is more accurate showing how many individuals are actually visiting your website due to the cookies on their machine. Another big data issue I noticed is the bounce rate is almost twice as much as the actual bounce rate in GA.
Is there any way to bring in the Unique User and Bounce Rate metric accurately? The marketing team currently uses DashThis, and it shows this data, so I know it's possible- I just don't know how it's being done.
So Power bi's connector for google analytics has a sampling issue and an API Calls limit. The standard limitations and quotas for Google Analytics API requests are documented in Limits and Quotas on API Requests. However, Power BI Desktop and Power BI service allow you to use the following enhanced number of queries.
Queries per day: 1,500,000, Queries per 100 seconds: 4,000
Might be better to connect Google analytics to a data warehouse such as Google BigQuery, which will help you get access to historical data that you won't be able to get with Power bi's connector. I'd suggest using a third-party connector.
I connected to google analytics api and have difference in numbers, but i connected from data studio and have the same numbers than google analytics. Metrics like users, new users, sessions etc.
This is one of the cases where sampling just kicks in without the user knowing.
Sampling occurs when fetching data from GA API, this is how Power BI connects to the API.
Sampling usually occurs when your timeframe is larger in size or would result in too many dimensions being called.
If you have acces to GA premium, you can have access to unsampled reports or else you can divide the timeframe in shorter timeframes.
So Power bi's connector for google analytics has a sampling issue and an API Calls limit.
Queries per day: 1,500,000 Queries per 100 seconds: 4,000
Might be better to connect Google analytics to a data warehouse such as Google BigQuery, which will help you get access to historical data that you won't be able to get with Power bi's connector. I'd suggest using a third-party connector.
I would like to use Google Dataflow to process Google Analytics data from many websites and store the results in a Google SQL.
But I was doing some research and I couldn't find a way to read the GA data from Google Dataflow directly.
There is one way if you have Google Analytics 360 you can enable the bigQuery integration but I will be using the Free version of Google Analytics not the 360.
Has anybody worked with something similar?
Cheers,
It would really depend on what type of data you're looking to pull. The GA360 integration with BigQuery extracts all the raw data (hit level) from Google Analytics. There is no way to do the same thing with the free version of Google Analytics.
However, you should be able to write your own Apache Beam Source that pulls data from Google Analytics using the Reporting API. Of course you would be restricted by the API limits.
As I mentioned in the beginning of my answer, this all depends on what type of data you're trying to get at. Aggregated/high-level data should be possible but granular/hit-level data won't.
Wondering if someone knows what is the level of detail of an GA extract in TABLEAU
It brings the data by user id or aggregates the data by date?
10x!
It depends on how you are connecting to Google Analytics.
If you are connecting directly from Tableau to Google Analytics, you will be able to filter the data to keep under the 10k row limits, as described in How to Connect Tableau and Google Analytics
If you use a premium version of Google Analytics along with BigQuery before Tableau, there are no limits and you receive each event at the lowest grain
I am issues reconciling goal values from funnel visualisation and getting the data from google API.
The results via google API are completely different.
ga-dev-tools.appspot.com/query-explorer/?start-date=2015-07-24&end-date=2015-07-24&metrics=ga%3Agoal14Starts%2Cga%3Agoal14Completions
Note: filtering has been done for the same date. (2015-07-24)