Presentation for students at Howard University studying Information Systems and Supply Chain Management and taking the Digital Business course. The goal was to tell some stories about how I used data over my career so far in business situations to illustrate how important it can be for a business today.
I talk about my domain name business, master's thesis doing box office prediction for movies and review signal (http://reviewsignal.com) my startup which does web hosting reviews.
Which Domain Names are Valuable?
What Makes Domain Names Valuable?
● Length (shortness)
Domain Name Business Model
Traffic == Money
1. Buy Domain
Names with Traffic
2. Redirect them to
3. Collect Checks
Disclaimer: Might be evil. Many
people hate these sites. I don’t blame
Data back in my day...
● Showed every query’s
● 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?
The goal of my research was to show electronic
word of mouth (WoM) == normal word of
The byproduct was electronic WoM can be
recorded and analyzed. So I explored the
“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.
Most Important Data Skill Learned:
Core Business: Sentiment Analysis
● Automatically analyzed over 15 million
● Created a source of reviews where none
● Always Up to Date (or Up to Data)
● 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: