13. 4C的核心是顧客戰略
• 顧客需求
The needs and wants of consumer
• 成本
Cost and value to satisfy consumer needs
and wants
• 雙向交流與溝通
Communication with consumer
• 便利性
Convenience to buy
13
69. The role of ICTs in the e-commerce
transaction/EDI value chain
69Source: OECD(2013/10)
貿易商 & 代理商
vs. 原廠
電子商務、跨境電商
、行動商務、第三方支付
電商平台 & 垂直電商
vs. 官網 (品牌)
78. 機器學習 Machine Learning
一個電腦程序從經驗E至學會,
針對某類任務T和性能指標P,
如果在T中的任務性能,
按P測量,提高了有經驗的E。
A computer program is said to learn from experience E with respect to
some class of tasks T and performance measure P if its performance at
tasks in T, as measured by P, improves with experience E.
78
Tom M. Mitchell, WIKI
另一個定義:機器學習目標是要電腦編碼運用舉例的資料,或過去的經驗來
解決已知問題。 麻省理工學院
https://en.wikipedia.org/wiki/Machine_learning
97. 97
What
happened?
• 描述性分析
Descriptive
Analytics
Why did it
happen?
• 診斷式分析
Diagnostic
Analytics
What will
happen?
• 預測式分析
Predictive
Analytics
How can we
make it
happen?
• 指導性分析
Prescriptive
Analytics
價值
困難度 & 複雜度
傳統BI 進階分析-大數據
落後指標
洞見與覺察
領先指標
撿
找
人
算
神
算
Edited by Ta-Ming Chang , 2016/8/2
Big Data應用技術演變,
人 & 技術,大數據專案
本身
106. Impact
• TEDxBroadway演講,Ben Wellington 提供五項原則,
透過故事讓數據更有意義(Making data mean more
through storytelling)
– 1.連結人們的經驗 Connection with People's Experiences
– 2.專注一個創意 Focus One Idea
– 3.讓它簡單化 Keep it Simple
– 4.探索你最熟悉的 Explore the Things You Know Best
– 5.發生改變 Make an Impact
106
https://youtu.be/6xsvGYIxJok
120. Digital Transformation and Talent 100
120
https://www.bcg.com/publications/2017/people-organization-strategy-twelve-forces-radically-change-organizations-work.aspx
121. Business
Intelligence
Analytics
AI /
“Cognitive”
Big Data Cloud
Internet of
Things (IoT)
121
Source: https://www.linkedin.com/pulse/war-4-pillars-big-data-cognitive-cloud-iot-bill-hayduk/
World of Watson, these are
IBM’s 4 pillars and Big
Blue is gearing up for an
arms race and a big war -
the war for mind share and
for money. According to
analyst firm IDC, big data
and analytics spending will
hit $203 billion by 2020.
https://www.linkedin.com/pulse/war-4-pillars-big-data-cognitive-cloud-iot-bill-hayduk/
顯而易見的事實與未來科技
創新戰爭戰場-IBM