Playing with Data for Fun and Profit

Kevin Ohashi
Founder, Review Signal LLC
Freelance Software Developer
Amateur Digital Nomad
Board Member, Affinity Lab
Playing with Data for Fun
and Profit
Who Am I?
Background:
● MSc in Entrepreneurship
● MSc in International Marketing & Brand
Management
● BA in Economics
● Minor in Computer Science
My First Business - Domain Names
Which Domain Names are Valuable?
Source: ICANN.org
Hint: it’s
.COM
What Makes Domain Names Valuable?
● Brandability
● Industry/Market
● Length (shortness)
● Assocations/imagery
● …
● -------------------------->
TRAFFIC!
Domain Name Business Model
Traffic == Money
1. Buy Domain
Names with Traffic
2. Redirect them to
Advertising
3. Collect Checks
Disclaimer: Might be evil. Many
people hate these sites. I don’t blame
them.
$$
$$
Data back in my day...
Yahoo! Overture
● Showed every query’s
popularity
● Updated monthly
● Unlimited Querying
● ==Data Mining Jackpot
What the data taught me...
Data showed a strong correlation between search
volume and traffic
Finding valuable domains was limited by:
● Algorithms to generate names
● Registering them faster than anyone else
Automation is a form of innovation
My Master’s Thesis - Predicting Box
Office Sales with Twitter Data
Why did I do this?
Why Not?
The goal of my research was to show electronic
word of mouth (WoM) == normal word of
mouth.
The byproduct was electronic WoM can be
recorded and analyzed. So I explored the
data...
I Love Movies, So I Studied Them
“The highest adjusted R^2 (.96) for week 3
used: Positive Buzz, Theaters and P/N
Ratio, to explain box office sales. “
tl;dr: The volume of positive
messages, the number of
theaters playing it, and the
ratio of positive to negative
messages explained 96% of
box office sales.
Playing with Data for Fun and Profit
Most Important Data Skill Learned:
Sentiment Analysis
Commercialization of Thesis
How Does Review Signal Work?
Core Business: Sentiment Analysis
● Automatically analyzed over 15 million
opinions
● Created a source of reviews where none
existed before
● Always Up to Date (or Up to Data)
Thank You!
Remember...
● Data can be fun.
● Data can be profitable.
● Data can unlock new information/insights.
● Data is only as good as the person analyzing it.
@KevinOhashi Personal Website:
KevinOhashi.com
Business Website:
ReviewSignal.com
Kevin@ReviewSignal.com
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Playing with Data for Fun and Profit

  • 1. Kevin Ohashi Founder, Review Signal LLC Freelance Software Developer Amateur Digital Nomad Board Member, Affinity Lab
  • 2. Playing with Data for Fun and Profit
  • 3. Who Am I? Background: ● MSc in Entrepreneurship ● MSc in International Marketing & Brand Management ● BA in Economics ● Minor in Computer Science
  • 4. My First Business - Domain Names
  • 5. Which Domain Names are Valuable? Source: ICANN.org Hint: it’s .COM
  • 6. What Makes Domain Names Valuable? ● Brandability ● Industry/Market ● Length (shortness) ● Assocations/imagery ● … ● --------------------------> TRAFFIC!
  • 7. Domain Name Business Model Traffic == Money 1. Buy Domain Names with Traffic 2. Redirect them to Advertising 3. Collect Checks Disclaimer: Might be evil. Many people hate these sites. I don’t blame them. $$ $$
  • 8. Data back in my day... Yahoo! Overture ● Showed every query’s popularity ● Updated monthly ● Unlimited Querying ● ==Data Mining Jackpot
  • 9. What the data taught me... Data showed a strong correlation between search volume and traffic Finding valuable domains was limited by: ● Algorithms to generate names ● Registering them faster than anyone else Automation is a form of innovation
  • 10. My Master’s Thesis - Predicting Box Office Sales with Twitter Data
  • 11. Why did I do this? Why Not? The goal of my research was to show electronic word of mouth (WoM) == normal word of mouth. The byproduct was electronic WoM can be recorded and analyzed. So I explored the data...
  • 12. I Love Movies, So I Studied Them
  • 13. “The highest adjusted R^2 (.96) for week 3 used: Positive Buzz, Theaters and P/N Ratio, to explain box office sales. “ tl;dr: The volume of positive messages, the number of theaters playing it, and the ratio of positive to negative messages explained 96% of box office sales.
  • 15. Most Important Data Skill Learned: Sentiment Analysis
  • 17. How Does Review Signal Work?
  • 18. Core Business: Sentiment Analysis ● Automatically analyzed over 15 million opinions ● Created a source of reviews where none existed before ● Always Up to Date (or Up to Data)
  • 19. Thank You! Remember... ● Data can be fun. ● Data can be profitable. ● Data can unlock new information/insights. ● Data is only as good as the person analyzing it. @KevinOhashi Personal Website: KevinOhashi.com Business Website: ReviewSignal.com Kevin@ReviewSignal.com