- Observe data in different dimensions trend/moving pattern over time, record the moving paths to perceive past trend and predict future pattern (Use data to do projection based on the past pattern)
- Visualize data based on reasonable measure, such as population
- Show graphs by both Aggregate data and split data
- Dangerous to only use average data (can't see the big picture), since the details can be much different from average. Also, average can be affected by outlier and misrepresent the truth.
- Clearly show over time and regional pattern
- Link data with internet the draw the whole picture and tell story about the data
- Explain the behavior of the data - not just how data is moving but why
- Volume of data makes things different - "big data" to be representative
- How to Access to data and Cleaning of data are important
- Present data in a visually appealing way
- Data is not always in/about a company, rather, data outside the company, such as industry trend, is also important to predict future.
Monetize social media
- make $ out of social media, not about networking
- taking the data from end users and process the data, then selling back to end users
- Followings are example of social media monetization
Google: advertising
Adsense
Google
plus
to
get more information/user preference to refine their business/Ads
Primary
use search data
IP,
how long you spend on the page
Facebook
Business
model: advertising
Know
your individual personal information (everything about you)
Acquire
"instegram" - easier to access to your mobile photo
Facebook
insights
Twitter
Firehouse
allow people to access tweets on a real-time basis
Sell
you data back
Sponsor
users/brands/tweets
Linkedin
Premium
accounts (Premium
means that initially you provide free service and then sell additional services)
Recruitment
from HR: lots of recruiters subscribe premium account (indirectly sell user
data)
Advertising
Background
check/references
ZYNGA
Gaming
Few
levels for Free first, then sell premium
FOURSQUARE
Location
based
App
on mobile
Check
in for the location
Lots
real time data: Who/time/
location
Partner
with AE/twitter, working with local small business
If
people check in enough, you get reward
Sell
data to business
If
you use specific hashtag about the business, you can earn credit in AE
Provide
incentive to make end users voluntarily Syncing your card with twitter and
foursquare, providing your information about purchase tendency and frequency,
who your friends are
Dropbox
Social
- share
Media
- storage
Sell
more storage space
Individual:
use different devices to access
Easily
share files
They
get information about who you are sharing files
Everybody
use it, high switch costs, so buy more space
Amazon
Computation
Visualize me
(infographic resume generator)
Partner
with, for example, linkedin
Sell
you back these visualization information
Groupon/social
living
Partner
with business
Act as a consolidator, like a whole seller working on social media
Users
tell them what they are interested, Groupon send you coupon about that area
Group
buying/group discount
URL shortener
Use
it and post on twitter, since there is word limit in twitter
Free
service for users
Track
the URL to see how your post diffuse, show your statistics
Initially
Partner with twitter, which has its own URL shortener now
Now
partner with other, most are news
Trip adviser/yelp
Subscription
from business
Attributes needed to consider before starting
a new social media application
What is the data I
can get
Unique Value
proposition
What is going to
sustain you over time
Primary audience
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