[Webinar Deck] Google Data Studio for Mastering the Art of Data Visualizations
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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.
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[Webinar Deck] Google Data Studio for Mastering the Art of Data Visualizations
- 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
- 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
- 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