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Minutes:How the Social Data Revolution Changes (Almost) Everything?
Camus 发表于 2009-09-16 21:33:41
How the Social Data Revolution Changes (Almost) Everything?
Professor Andreas S. Weigned, visiting Professor at Tsinghua University
Time: 19:45-20:45 9th Sept. 2009 (Wed.)
Venue: Shenyang Room, Pudong Shangri-la Hotel, Shanghai
Tsinghua-INSEAD EMBA: Master Class and Information Session
Agenda:
Data
B2C
C2C
C2W(World)
Insights
Travel
Amazon:
Customer Review - US High, JP Medium, EU low
Customers buy ... also buy ...
Customers view ... also view ...
5-25% increase of sales - Impact of recommendation
Process of creating engineered for feedback
Data Source:
-Attention
-Transactions
-Clicks
-Intension
-Search
-Situation
-Device
-Location
New mobile phone
Traditional segmentation
Demography
Loyalty
Connection data - Who called whom?
Context - you bought the item
Content - the item you bought
Connection - ask Amazon to email your friend
7 billion pieces of content shared in last 5 weeks - Facebook
Provide list of prospects -> social network intelligence
Provide risk scores ->Fraud Reduction
chain length
Real life 38% >= 4 people
Facebook 86% >= 4 people
Twitter
Jan -Jun 2009 Dell followed by 7K-70K Revenue 6M
Insights: connect people, data
Websites:
tripkick
booking
seatguru
virtualtourist member
Who talks to whom? C2C
Who trusts whom?
Who's in control? Shift customer centric, CRM->CMR (Customer Managed Relationships)
Who pays whom? Designing incentives for customer participation and interaction
How have consumer expectations changed towards creating sharing, accessing and controlling data?
http://weigend.com/blog
-Push to the customer, blog is not enough
Metadata -data of data
yobo.com
Professor Andreas S. Weigned, visiting Professor at Tsinghua University
Time: 19:45-20:45 9th Sept. 2009 (Wed.)
Venue: Shenyang Room, Pudong Shangri-la Hotel, Shanghai
Tsinghua-INSEAD EMBA: Master Class and Information Session
Agenda:
Data
B2C
C2C
C2W(World)
Insights
Travel
Amazon:
Customer Review - US High, JP Medium, EU low
Customers buy ... also buy ...
Customers view ... also view ...
5-25% increase of sales - Impact of recommendation
Process of creating engineered for feedback
Data Source:
-Attention
-Transactions
-Clicks
-Intension
-Search
-Situation
-Device
-Location
New mobile phone
Traditional segmentation
Demography
Loyalty
Connection data - Who called whom?
Context - you bought the item
Content - the item you bought
Connection - ask Amazon to email your friend
7 billion pieces of content shared in last 5 weeks - Facebook
Provide list of prospects -> social network intelligence
Provide risk scores ->Fraud Reduction
chain length
Real life 38% >= 4 people
Facebook 86% >= 4 people
Jan -Jun 2009 Dell followed by 7K-70K Revenue 6M
Insights: connect people, data
Websites:
tripkick
booking
seatguru
virtualtourist member
Who talks to whom? C2C
Who trusts whom?
Who's in control? Shift customer centric, CRM->CMR (Customer Managed Relationships)
Who pays whom? Designing incentives for customer participation and interaction
How have consumer expectations changed towards creating sharing, accessing and controlling data?
http://weigend.com/blog
-Push to the customer, blog is not enough
Metadata -data of data
yobo.com
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