1. Sony PlayStation For GPS BDA students, 2018
©2015 Sony Network Entertainment International
5/18/16

2. Hi
©2015 Sony Network Entertainment International
5/18/16

3. Hello Blake Ellison, MPIA '11 William Honaker, MIA '16
Sony PlayStation Analytics & Visualization

4. Data at PlayStation BI Analytics Division: Adobe Analytics
bare metal + MicroStrategy
Tableau
... and R
$VOLUME per day into Adobe Analytics

5. Data at PlayStation We aren't doing: Hypothesis testing
Time series prediction
We are doing:
Business reporting
Root cause analysis

6. Use Cases: Commerce Which products are popular?
How much money?
How often do people shop?
How do people navigate the Store?
From where did people come to the Store?
On PS4
On web
Which products are popular?
Any impediments to shopping?
Which ads are successful?
What about PlayStation Plus?

7. Use Cases: Account & Identity
How many people are signing up?
Is it difficult?
How many people engage their families?
How many people use offered security features?
Are there problems in a certain part of the process?
Can we detect fraudulent cases?

8. Use Cases: Video + PS Vue
What are people watching?
For how long?
Does behavior differ with different subscription tiers?

9. Use Cases: PSN Social Features
How much do people use our Social features?
Which features are most popular?
Which user-generated content is most popular?
Are more 'engaged' users better for business?

10. Use Cases: Web + Mobile
What do people want to do with PSN on web + mobile?
Which activities should we support?
What kinds of devices should we support?
Do people buy games?
Are people engaged with social features?

11. Use Cases: Errors/Debug/Monitoring
Can we provide information about application problems?
Can we provide information to help engineers debug? Can we help in root cause analysis?
Can we quickly, or predictively, detect problems PSN-wide and prevent downtime?

12. Easy Mode

13. Hard Mode: Adobe Analytics clickstream
~1000 columns in all
Areas for GPS to see: PlayStation.com + Mobile Apps
We're giving you $X_GB (compressed!)
Beginner Data Dictionary Included

14. Data Dictionary Highlights
pageName
channel
mobiledevice
browser
evar49
evar40
evar16
campaign
post_custID
evar75
first_hit_time_gmt
Tip: Use "post_" versions for "downstream attribution"

15. Some Advanced Analysis Ideas
What's a precursor to commercial activity?
What's an indicator of higher engagement? (higher usage of PS platform)
What are "guest" web visitors interested in?
Feeling brave? Cluster our users by their behavior

16. Gotchas Variables can be duplicate - no meaningful correlation
eg evar40 and post_evar40
Some IDs could look numeric but should be treated as categorical
Very large volumes of data
Do plenty of exploratory analysis first
Test your code on smaller samples if necessary

17.
©2015 Sony Network Entertainment International

18. Ask Us Anything
PlayStation, big data, Sony, Games industry, tech/startups, Japan, programming...