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Kazuto Ataka gfke 2014

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This document summarizes a presentation given by Kazuto Ataka, Chief Strategy Officer of Yahoo Japan Corporation, at the 2014 OECD Global Forum on the Knowledge Economy on October 3, 2014. The presentation defines the skills needed for "data scientists", including skills in business problem solving, data science, and data engineering. It also notes some issues going forward, such as a lack of data literacy, teachers/training, and business architects to bridge data and business needs.

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141003 OECD forrum 1 Building new calibers in the data-driven economy 2014 OECD Global Forum on the Knowledge Economy Kazuto ATAKA Chief Strategy Officer Yahoo Japan Corporation October 3, 2014
141003 OECD forrum My roles … Chief Strategy Officer 2 Director Chair, Skill Definition Committee Director
141003 OECD forrum 60,000 40,000 20,000 0 Rakuten 200 400 600 Uuique Users (in thousands) Paper view per UU (per months) Size of each circle: time spent per month　 MSN WindowsLive Bing goo Google 0:22:59 1:33:56 1:13:37 0:57:35 4:49:47 Source：Nielsen NetView Feb 2014: brand level, both home and office access desktop Presence in the market Yahoo Japan
141003 OECD forrum Reach in smartphone users Google （including YouTube） Yahoo! JAPAN FaceBook Twitter ％: reach 97％ 91％ 72％ 66％ Source：Nielsen MobileNetView March 2014, Parent level Smartphone
141003 OECD forrum A multi big data company News Search Shopping Auction Payment FX 5
141003 OECD forrum Background 6 • Lack of clear definition of buzz word “data scientists” • Increasing mismatch between employer’s expectations and skillsets • Difficult to obtain expected results from analyses on business use cases Aims • To define skill sets required for the new data professionals (“data scientists”) • Establish skill development and evaluation criteria • Provide open environment to interact each other for the data professionals
141003 OECD forrum What is the Data Scientist? 7
141003 OECD forrum They are to liberate the power of the data Industrial Revolution 8 ICT revolution (Industrial revolution II) New resources • Coal and oil • Steam engines • Electrical power • Liberate human and livestock from manual and hand labor Nature • Sensors and Data • Computing power • Broad band network • Wireless network • Liberate human from tedious number crunching
141003 OECD forrum GDP per capita over time (log scale) 9 Source: J. Bradford DeLong “Estimates of World GDP”, One Million B.C. – Present” (1998) http://www.singularity2050.com/accelerating_change/ New growth?
141003 OECD forrum Three key skillsets Skills to define and solve business issues based on understanding of the problem background 10 Business Problem Solving Data Science Data Engineering Skills to understand and utilize knowledge from data science including various information processing and artificial intelligence Skills to leverage, install, and run data science in actual data flow Source: The Japan Data Scientist Society discussios
141003 OECD forrum So Data Scientists are … Professionals who create values from data and answer the business problems based on their expertise on data science and data engineering Source: The Japan Data Scientist Society discussios 11
141003 OECD forrum Some issues going forward Lack of basic data literacy … statistics, analytical thinking, data-driven thinking (i.e., top management cannot understand the depth and width of this new challenges) Lack of teachers and training systems … too much emphasis on pure data science Lack of total business architects and translators bridging data, actual business and policy makers Lack of alignment of data utilization policies 12

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Kazuto Ataka gfke 2014

  • 1. 141003 OECD forrum 1 Building new calibers in the data-driven economy 2014 OECD Global Forum on the Knowledge Economy Kazuto ATAKA Chief Strategy Officer Yahoo Japan Corporation October 3, 2014
  • 2. 141003 OECD forrum My roles … Chief Strategy Officer 2 Director Chair, Skill Definition Committee Director
  • 3. 141003 OECD forrum 60,000 40,000 20,000 0 Rakuten 200 400 600 Uuique Users (in thousands) Paper view per UU (per months) Size of each circle: time spent per month　 MSN WindowsLive Bing goo Google 0:22:59 1:33:56 1:13:37 0:57:35 4:49:47 Source：Nielsen NetView Feb 2014: brand level, both home and office access desktop Presence in the market Yahoo Japan
  • 4. 141003 OECD forrum Reach in smartphone users Google （including YouTube） Yahoo! JAPAN FaceBook Twitter ％: reach 97％ 91％ 72％ 66％ Source：Nielsen MobileNetView March 2014, Parent level Smartphone
  • 5. 141003 OECD forrum A multi big data company News Search Shopping Auction Payment FX 5
  • 6. 141003 OECD forrum Background 6 • Lack of clear definition of buzz word “data scientists” • Increasing mismatch between employer’s expectations and skillsets • Difficult to obtain expected results from analyses on business use cases Aims • To define skill sets required for the new data professionals (“data scientists”) • Establish skill development and evaluation criteria • Provide open environment to interact each other for the data professionals
  • 7. 141003 OECD forrum What is the Data Scientist? 7
  • 8. 141003 OECD forrum They are to liberate the power of the data Industrial Revolution 8 ICT revolution (Industrial revolution II) New resources • Coal and oil • Steam engines • Electrical power • Liberate human and livestock from manual and hand labor Nature • Sensors and Data • Computing power • Broad band network • Wireless network • Liberate human from tedious number crunching
  • 9. 141003 OECD forrum GDP per capita over time (log scale) 9 Source: J. Bradford DeLong “Estimates of World GDP”, One Million B.C. – Present” (1998) http://www.singularity2050.com/accelerating_change/ New growth?
  • 10. 141003 OECD forrum Three key skillsets Skills to define and solve business issues based on understanding of the problem background 10 Business Problem Solving Data Science Data Engineering Skills to understand and utilize knowledge from data science including various information processing and artificial intelligence Skills to leverage, install, and run data science in actual data flow Source: The Japan Data Scientist Society discussios
  • 11. 141003 OECD forrum So Data Scientists are … Professionals who create values from data and answer the business problems based on their expertise on data science and data engineering Source: The Japan Data Scientist Society discussios 11
  • 12. 141003 OECD forrum Some issues going forward Lack of basic data literacy … statistics, analytical thinking, data-driven thinking (i.e., top management cannot understand the depth and width of this new challenges) Lack of teachers and training systems … too much emphasis on pure data science Lack of total business architects and translators bridging data, actual business and policy makers Lack of alignment of data utilization policies 12