1. Prepare Your Data for
Google Data Studio
Olga Tsubiks

2. In this session
- Prepare data for visualization in Data Studio
- Enrich data with information derived from other data
sources
- Make data accessible for Data Studio

3. Blog Performance Analysis
Raw GA data- What do we see?
[DEMO]

4. Is your top ten off by 30%?
Prepare data for
visualization in
Data Studio

5. Enrich data with
information derived from
other data sources
Are you limiting the insights you can have by
ignoring all data that isn’t in GA?

6. Data Studio loads from some sources- using one
as a gateway lets you move data from any source:
Make data
accessible for Data
Studio
Google BigQuery
Google Data Studio

7. To make the best use of Data Studio you need to:
Prepare data for
visualization in
Data Studio
Enrich data with
information derived from
other data sources
Make data
accessible for Data
Studio
Google BigQuery
Google Data Studio

8. Blog Performance Analysis
Cleaned and Enhanced
[DEMO]

9. Better data architecture with Analytics Canvas
In order to create reports that leads to answers quickly, your need to
architect your data the right way. Using Analytics Canvas, you can gather,
join, prep and transform your data to make sure it is ready for visualization
in Google Data Studio.

10. Learn more at:
analyticscanvas.com