1

1 344-0051 4158 E-mail:hirabayashi@kyoei.ac.jp

n r e IoT AIr r g

r n o T nr

T

r n

Key Words : big data organization, big data platform, data analytics, data scientist, AI, IoT, strategy

1.

2012 10 r Harvard Business Review r MITAndrew McAfee o Erik Brynjolfssonr OBig Data: The Management Revolution 1)

o T r

g 5 g

IoT Internet of Things oe AI Artificial Intelli-gence r n

r

o g o o r

r g

r

n

r r

g e

r

o T e o

2.

(1) Andrew McAfee o Erik Brynjolfsson1)

Volume Variety Velocity3 V r g T

n r 1

o n r

g

o e

r n

sgT n r o

Thomas H Davenport and D.J. Patil2)

o n

n

g n g g

n o g

n n n

o r o

o n

o o n

o

(2) IoT Gartner3) -1 Tr n IoT

2017 n 84 2020 n 204 o

37

-1 IoT Gartner 2017 1

g IoT 2017 n16,895 2020 n2 9,257 o McKinsey & Company4) -2 Tr 2025 r IoTg 3.9 11.1

r

-2 IoT g McKinsey & Co 2017

T IoT pr

p Tr . 286 8 5)

-3 r n Volumer Variety IoT

p n

Velocity r p

n on n

IoT r ro

r

IoT o

T d n

(3) AI-4 r 6)r

o n r M

CPU GPU o AI r

g

n M

M p r g

-3 A. T. Kearney 2013

38

-4 r %

IBM Watson r 7) Googleg Google 8) p

r AIT d e

o r

n M n

r

n r o n

AIo

n o

r 1 p

g

r

g .1

p

o

r n

3.

(1)Vincenzo Morabito9) M

o n

g o r

e e o

r

n o r

n

C g

g

o

r g n

E g g

rn

g

r g

g r

n

n T p

a o

n

(2)-5 g

o g n

o IT IS e

n

g r

pe

g r

r

Travis Pearson and Rasmus Wegener10) 4

a) o

r Netflixb)

r e

r

g n

T o n AT&T Zynga

39

-5 g

c)

g r

Google Progressived) CoE, Center of Excel

lenceg

CoE o

n AmazonLinkedIn

r -6 r

-6 r

Jay R. GalbRaith11) rp

T r -7r

on

n e o r

T on g

o n n

e g r o

e

o r

(3) (

a)Rajpurohit12) -8 6

n g

r

Volume Variety Velocityr

o

on p

K r

p r

n

n SAS13)

o

Tr

b)C

E SAS R Pythonr

p

IT o o

I r o

r

40

-7 r Jay R. GalbRaith % ) -8 J Rajpurohit % (

c) -

C r r n

n o

E r

n

r

n

y

4.

o

r

g

r

g

r p

r n p r

r s

g r

r

T

n n

r r o

(1) 4Annabelle Gawer and Michael A. Cusumano14)

n g

r o M

4e 4 n

a) M n

r d T

r

oo re d o

n o p n

b)

oe e

r

n

o g

r

r

r T r

p

c)e o

o p n y

r e o

r r r g

r

r

o g T p

Tr r

d)oe

r g r

n r

r d To

o r

41

To r

r

o g

n o T

o r

e n o

(2)r

C n o

T

o

E

o

n

Everett M.Rogers15)r o -9 Tr

r

oe o o

e o

-9 g

Everett M.Rogers %% %

r

n

x 7 o

r -10 r M M

M M M

o T r g

Geoffrey A. Moore16)r o r

d o

o n

o r

o o r

e

o n r

o or T on e g

g -11r g r

r

r

o n

5.

n r n

r g

(1)C r

n n

r r IoT

Agoopo r

g 2203G/LTE OS

320 r r

n

n

42

-10 r g o Everett M.Rogers %% %

-11 g Geoffrey A. Moore % ) %

CAPEX g

p

g Agoop

on r

au

p

E o 22010 r IoT T on

100 r o

n

e g p

p

2AI

n r

n

n e

r

AgoopIoT p r n

r

g r

o o

g g

CAPEX OPEXr Tg r n g e

AIo AI g

g o T

AI CIO r

g IT n

r

r g WebGIS p p

n g on

o

n r

43

(2) MMCC r

n r

EV p o

n

r o SNSr r g

r

p

E o MMC n r

g n

o d

CIV: Connected Information Vehicle

r

p r 2017 1 1 r -12, CPLO CCO CPO CFO

4C o

IT p

o o g

r

p r o n Tr

o

o g o

C n C CIO COOr g r

COO r

12 33/ r T % )

r MMC r

o PD, Program DirectorCPS, Chief Product SpecialistCVE, Chief Vehicle Specialist 3

n

3 r r

o r d

M

r o o r

g SoE System of Engagementr g SoR

System of Record p n

r r

r g r AIr

o n n

g

n n

r n

r n

r

20 n HERET

n n

n o r

r

MMC r

o

(3)r n

2 n

1998 1 r

KOMTRAX

p

44

r

p

KOMTRAX r

rGPS o T

o g2001 r g

r20 2%g g r

o T n g e

M

nCoE r o

T r T

o 2017 10 r

SAP o

g IoT n

MLANDLOG% r

r NTTSAP

1 .1

r g

LANDLOGr

o T o or

n o r

g o r r

on LANDLOGr API

ro LANDLOGo ro

o

(4)r

r n p

r MVNOn

p 9 ID

24n n

n AI r

e r

n

o

g r g

g

r

2017 8 r o

g g

r AI n (

51 M

o r

o

n r

o oo

o g r

n

g o

(5) 4n

-13 r o g

n

ro r n

o r

r CAPEX OPEXr

o o T

n n

n n

pr

r 33/

CIV p

r y r

-14 r 4r o g

45

-13

-14 o

n

1 r

n .9

.1

To n 33/

g /44

r r

o

o g

r n

o o33/ pTo

o T

/ 0 r r

on

o n g

o r

nr

o r

o

46

5.

(1) IoT AI

r p

e g

r AIp r

pr

o

p

r

(2))

n e

n r n

n

p n

g n ITo o

(3))

-15 Tr g

n

n

) %

r g

o

e g

o

a o

g T

on n T

g n

o n Tr

r

g o

p

r

or n

on

MMC r

o

r o

-15

r g

/14 1

r r

r

g r

[1] Andrew McAfee and Erik Brynjolfsson, “Big Data: TheManagement Revolution”, Harvard Business Review,2012.

[2] Thomas H Davenport and D.J. Patil, “Data Scientist: The

Sexiest Job of the 21st Century”, Harvard Business Re-

view, 2012.

[3] AGartner ,

http://www.gartner.com/newsroom/id/3598917[4] “The Internet of Things: Mapping the Value Beyond the

Hype.” Executive Summary, McKinsey Global Institute,2015.

[5] AA. T. Kearney ,https://www.atkearney.com/analytics/ideas-insights/article/-/asset_publisher/hZFiG2E3WrIP/content/big-data-and-the-creative-destruction-of-today-s-business-mod-

47

els/10192?_101_INSTANCE_hZFiG2E3WrIP_redirect=%2Fanalytics%2Fideas-insights

[6] “ 2017”,, pp.142-143, 2016 12 16

[7] AIBM ,https://www.ibm.com/think/jp-

ja/watson/machinelearning-1/[8] AGoogleGoogle Research Blog ,

https://research.googleblog.com/2016/09/a-neural-network-for-machine.html l

[9] Vincenzo Morabito, “Big Data and Analytics: Strategicand Organizational Impacts”, Springer International,pp.15-20, 2015.

[10] Travis Pearson and Rasmus Wegener, “Big Data: The organizational challenge”, Bain & Company, pp.3-4, 2013.

[11] Jay R. GalbRaith, “Organization Design ChallengesResult ing From Big Data”, Journal of Organization De-sign, pp.11-13, 2014

[12] Rajpurohit, A, “Big data for business managers—bridging the gap between potential and value. In: Pro-ceedings”, 2013 IEEE International Conference on BigData, Big Data, pp. 29–31, 2013.

[13] ASAS ,https://www.sas.com/ja_jp/insights/analytics/what-is-a-

data-scientist.html [14] Annabelle Gawer and Michael A. Cusumano,A

, , 2005 3 1[15] Everett M.Rogers,“ ”,

Kindle , 2007 10 16[16] Geoffrey A. Moore,A Ver.2

d M

, Kindle , 2014 10 3[17] 2017 2 , ,

2017,3.17.[18] , 2016 12 14[19] , , pp.56-57, 2017 8

26[20] , BP , pp.17, 2017 7 31[21] , 2017 7 26[22] “

n”,

, pp.246, 2013 11 29[23] , 2017 7 26

��������� ���

CASE STUDY: CORPORATE STRATEGY AND ORGANIZATION TO UTILIZE BIG DATA

Nobutaka HIRABAYASHI

In this paper, I review activities and organizational models when the company is working on big data expansion, and evalu-ate the impact of spread of IoT and AI on big data analysis and data scientist's job skills.

I also hypothesize that a platform strategy is indispensable for the business strategy of big data and conduct a case study of four companies that have already introduced big data such as SoftBank, Mitsubishi Motors, Komatsu, and Rakuten.

I discuss the approach of each company's big data business, future strategy, and organizational behavior, from the perspective of platform strategy.

48