Google Data Studio is a powerful part of the Google Analytics 360 suite that enables users to analyze and visualize marketing data. It allows for the creation of customizable reports by connecting various data sources and includes features for data preparation, visualization, and sharing. Effective report creation involves using filter controls, diverse chart types, and adhering to best practices for organization and clarity.

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Google Data Studio

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Google Data Studio
Data Studio part of Google Analytics 360 Suite, a platform that will
help you evaluate the full customer journey and drive results. The
Suite is comprised of 6 products, as schematized below.
Data Studio 360 - Data Analysis and Visualization (cherry on top!): Build
beautiful and shareable reports, with all your data in one place.

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Data Studio lets you connect to all your
marketing data and turn that data into
beautiful, informative reports that are easy to
understand, share, and fully customizable.
With multiple data connectors, we can now easily create
dashboards from many different types of data and share
with everyone in your organization - and we can mix and
match data sources within a single report.
Create Beautiful Reports (even if we aren’t a graphic
designer)
For example, you can combine Google Analytics data and
Google AdWords data into a single report

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Google Data Studio Overview:
• Connect - The first thing you have to do when working
with data is making sure you have it! Once you do,
check whether any preparation is required (e.g.
calculated fields, different formatting, cleaning up) in
order to make the data useful.
• Visualize - Creation of reports, sheets using the data
• Share - Can share reports, insights with colleagues…

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Google Data Studio: How Does it Work?
•First, log in with the Google account you use to manage
your Analytics and AdWords accounts.
•Login at https://datastudio.google.com. You will see
something similar to the following page.

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Sync Google Data Sources
Next, enter the Reports section, and connect to your preexisting
data sources or select “Create New Data Source” in the bottom
right corner.
The main data sources you can pull in right now include:

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Data Sources: Access, Transform, and Manage
Click on Data Sources in the left “sidebar". Maybe you will
already have some Data Sources in there, maybe you won't.
In any case, you will see a “+" sign in the bottom-right
corner of your page, click on that to create a new Data
Source.
The first choice you have to make is where you are getting the
data from: Google Analytics, BigQuery, Sheets, etc. Once you
click on one of them, choose among the accounts you have
access to and click the “Connect" button. You will get to a
screen similar to the following.

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1. Create a calculated field: you can use this to create new
metrics based on a formula that transforms one or more
existing metrics. There are dozens of operators available, here
is a reference list.
2. Field type: choose the formatting and the type of your metric.
Here are the top level types, each has a bunch of options:
Numeric, Text, Date & Time, Boolean, Geo.
3. Field aggregation: choose the aggregation that should be
used for your metric. For example, if your metric is a ratio such
as Conversion Rate, you should use Average, if it is an
absolute value such as sessions, you should use Sum.
4. Create a report:

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Organize Your Data:
As soon as you’ve chosen the data source you’d like to pull
from, you can move on to the customizable live
reports segmented by:
•Time periods
•Geographies
•Segments
•Filters …and more.

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Reports Best Practices:

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• Filter controls give power to the users. Filter
controls will drive users forward and offer a
rich analysis experience.
• Headers and page dividers are great for
organization and consistency
• Chart diversity makes the report more
engaging. Having different chart types makes
the analysis more interesting.
• Color styling helps guiding the eyes, Do not
overuse color!
• The Report purpose informs the design. The
purpose of the visualizations is incredibly
important during the conception and creation
of your Reports.

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Data Studio uses the Google Drive sharing model, which
you are hopefully acquainted with. It is important to notice
that when you share a Report or Data Source with a person,
the access will be given unrelated to whether the person
has access to the data in Google Analytics, Sheets,
BigQuery, etc. This means that it is extremely important to
make sure that the data can be shared with the person.
Let's look at an example.
Sharing is caring: in moderation!

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