The document outlines a presentation on Google Data Studio, emphasizing its advantages for data visualization and the challenges users face in data workflows. It highlights key features such as easy connectivity to various data sources, customizable reports, and common mistakes in data visualization. The agenda includes an introduction, live demo, and examples of report types, along with details on an upcoming webinar.

1. Google Data Studio for
Mastering the Art of Data Visualizations

2. Who’s who?
2
Viraj Shah
Customer Success Manager,
Tatvic
SpeakerModerator
Aditi Buch
Ambassador of Buzz,
Tatvic

3. How to Interact Today
3
Type your comments
and questions here
@Tatvic

4. 4
Agenda
● Introduction to Data Studio
● Live Demo
● Choosing Best Visualization
● Sample Data Studio Reports

5. Introduction to Data
Studio
5

6. 6
Common Data Workflow - Challenges
Collect Prepar
e
Analyz
e
Report Share
Limitations in any stage cause users to exit and use different tools

7. 7
Common Data Workflow - Tools
Data Base
Analytics Tools
APIs
Spreadsheet
SQL
BI Tools
Tableau
R
Presentation
PDF
Email
Monitor
Mobile
Customers use many tools It’s complex, expensive, and difficult to manage
Collect Prepar
e
Analyz
e
Report Share

8. 8
The Data Studio Advantage
Collect Prepare Analyze Report Share
Data Sources
Data Studio Simplifies the Analysis Workflow
Analysis Present & Share
Access Data
- Connect & Import Data
- Semantic Classification
- Define Transforms
Explore Data
- Visual Query
- Drag / Drop Data
- Dynamic Filters
Communicate Data
- Modern WYSIWYG Editor
- Charts / Shapes / Styles
- Interactive Controls
- Drive Sharing &
Collaboration

9. 9
Google Data Studio
Helps business be more data-driven by
making access to data and analysis
easier
● Available for Totally Free
● Unlimited Reports
● Free 2 GB Data Import

10. 10
Google Analytics 360 Suite – Data
Studio

11. 11
Build Beautiful Reports
● Modern WYSIWYG Editor
● Customizable Charts
● Easy to Configure Styles
● Interactive Controls
● Multiple Pages

12. 12
Easy to Connect to Data
Powerful Connectors
○ Google Analytics
○ Google Sheets
○ BigQuery
○ AdWords
○ YouTube Analytics
○ Search Console
On Premise Data
○ MySQL
○ PostgreSQL
Import CSV Data
○ 2GB Free

13. 13
Custom Data Transformations
● Aggregations
● Groupings
● Ad Hoc Calculations

14. Data Studio - Live Demo
14

15. Choosing Best Visualization
15
Ref. : How to Choose the Right Data Visualization Types

16. 16
Types of Data
Meaning What? Example
Categorical (Dimensions)
Nominal
The ordering of values has no intrinsic
meaning
Event Category, User Type,
City
Ordinal Ordered, “Every value has a place”
Count of Session, Month of
the Year
Time Series Dates and Times Date, Hour
Quantitative (Metrics)
Additive
Adding values makes sense, zero is
meaningful
Sessions, Transactions
Non-additive Only difference in values makes sense
Avg. Session Duration,
Bounce Rate

17. 17
Tabulate Relationships Between Metrics
Source/Medium wise Metrics Relationship

18. 18
Compare two related Metrics
M-o-M Transactions and Revenue Comparison

19. 19
Visualize two Dimensions over a Metric
Channel wise New vs Returning Visitors in the order of Sessions

20. 20
Monitor Performance of a Metric
Sessions and Transactions Performance

21. 21
Show Dimension Composition w.r.t. a
Metric
Composition of different Browsers among Sessions

22. 22
Observe Metric Trend w.r.t. a Dimension
Device Category wise Avg. Session Duration over the Month

23. 23
Analyze Metrics Scatter Plot for a
DimensionChannel wise Distribution of Transactions, Sessions and Revenue

24. 24
View Geo-Distribution of a Metric
Geography wise Distribution of Sessions

25. 25
Breakdown Dimension w.r.t. another
DimensionCampaign Breakdown w.r.t. Sessions from User Type

26. 26
Common Mistakes in Data Visualization
# 1 – Something Does Not Add Up # 2 – Choosing the Wrong Format

27. 27
Common Mistakes in Data Visualization
# 3 – Trying To Do Too Much # 4 – Disappearing Axes

28. Sample Data Studio Reports
28

29. Infographic Dashboard
29

30. Ecommerce Website Report
30

31. Publisher Report
31

32. Lead Gen Report
32

33. Multi-Channel Ad Dashboard
33

34. 34
Any
Questions?

35. How to Interact Today
35
Type your comments
and questions here
@Tatvic

36. 36
What’s Next
Upcoming Webinar:
Optimize Your Website and Mobile App Features with
Markov Modeling and Increase Your Conversion Rates
When: Sept 19, 2017 | Time: 8.30 PM IST
Speaker: Aditya Thakkar and Bismayy Mohapatra, Data
Scientists @ Tatvic