chapter 1. the four sequential paradigms shift chapter 2. digital...
TRANSCRIPT
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Chapter 1. The Four Sequential Paradigms Shift
Chapter 2. Digital Transformation and Change Management
Dr.Marrut Manistitya 1st December 2016
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B.Ecomonics from Chulalongkorn University
M.Engineering from Asia Institute of Technology
Ph.D. Management from King Mongkut’s Institute of
Technology
20 years of experience in business and management
บุคคลตวัอยา่งภาคธรุกจิเทคโนโลยสีารสนเทศและการสือ่สารแห่ง
ปี 2014 จากมูลนิธสิภาวทิยาศาสตรแ์ละเทคโนโลยแีหง่ประเทศท
ไทย
ปัจจบุนัด ารงต าแหน่ง กรรมการผูจ้ดัการประจ าประเทศไทยและ
พม่า Hitachi Data Systems
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The Four Sequential Paradigms Shift
1st December 2016
Dr.Marrut Manistitya
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Paradigm Shift in Daily Life
NEW COMPETITION FROM DIGITAL DISRUPTORS
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Industrial Revolution
References :
http://www.applicadthai.com/articles/พลกิโฉมหนา้การผลติ https://sboonkrong.wordpress.com/2016/05/03/อตุสาหกรรม-4-0-มนัคอื
อะไร
https://en.wikipedia.org/wiki/Industry_4.0
1784 : Mechanic &
Streaming Production
1870 : Electricity
Mass Production
1969 :
Computer & Automation
2010 :
Cyber-Physical Systems
1.0
2.0
3.0
4.0
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Source :
Prof.Wolfgang Wahlster, DFKI – German Research Center of Artificial Intelligent
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Sources : https://people.hofstra.edu/geotrans/eng/ch2en/conc2en/four_industrial_revolutions.html
Copyright © 1998-2016, Dr. Jean-Paul Rodrigue, Dept. of Global Studies & Geography , Hofstra University, New York, USA.
Economic Implication and Outcome
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Source::Dr. Thanachart Numnonda, 21Nov2016
http://c-asean.org/index.php?op=knowledge-detail&id=26657d5ff9020d2abefe558796b99584.
Thailand Economic Evolution
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Thailand IT Adoption
Cloud Consumption
Economics
Big Data Untapped
Advantages
Social Engagement
and
Empowerment
Mobile Consumeriza-
tion and
Expectation
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Trends 2017 Onward by Gartner
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Paradigm shift in IT model
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Process Oriented
Value Oriented
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Source :
Prof.Wolfgang Wahlster, DFKI – German Research Center of Artificial Intelligent
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Stadardization is key success factor of Industry 4.0
Source :
Prof.Wolfgang Wahlster, DFKI – German Research Center of Artificial Intelligent
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Source :
Prof.Wolfgang Wahlster, DFKI – German Research Center of Artificial Intelligent
The Race for Industry 4.0 Standard
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Mandatory Components for value base economy
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Example of finished products under industry 4.0
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People : Required core skills is also shifting.
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Shifting Expectation of IT in The Industry 4.0
INNOVATE
FASTER
MANAGE
RISK MONETIZE
MORE
CEO
KNOWLEDGE
ADVISOR
DATA
BROKER BUSINESS
INNOVATOR
CIO
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Technology Spending is Shifting
Other includes Legal, Security and Risk and Other Horizontal Operations. Data excludes government and education
Source: IDC Buyer Technology Spending Guide v2
5.9%
6.8%
5.4%
6.6%
6.3%
1.0%
9.0%
6.7% 6.5% 6.3%
-2%
0%
2%
4%
6%
8%
10%
12%
0% 20% 40%20
15
-20
16
GR
OW
TH
% SHARE OF SPEND, 2015
Accounting/Finance/Billing
Customer Service
Engineering, Architecture & Research
Human Resources
Industry Specific Operations
IT
Marketing
Other Horizontal Operations
Sales
Supply Chain Management
IT Dept.
Average Tech Spending 4.2%
External Technology Spending by Functional Area
Industry Specific Operations
60% SITS OUTSIDE OF I.T.
CONFIDENTIAL – For use by Hitachi Data Systems employees and other audiences under NDA only.
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Apps/End Users
Infrastructure
Dev. Platforms
Then
$$$$
$
Now
$
$$$$
Applications Role vs. Infrastructure Role Value Chain Reversal
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SHIFT FROM MARGINAL TO
2016 2017 2018
EXPONENTIAL GROWTH
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More Global to Local by Leveraging Digital
NEW COMPETITION FROM DIGITAL DISRUPTORS
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Industry Experience , Energy and The Internet of Things That Matter Machine data is in exponential growth.
ROBOTICS
I.T.
INFRASTRUCTURE AUTOMOTIVE
SYSTEMS
WIND
TURBINES
MINING EQUIPMENT
RAILWAY CONTROL
SYSTEMS AND TRAINS
WEARABLES
PROGRAMMABLE
CONTROLS WATER
TREATMENT
BATTERY
SYSTEM
SENSORS MEDICAL
IMAGING GAS TURBINES
SOCIAL
INFRASTRUCTURE PUBLIC SAFETY MEDICAL DIAGNOSTICS
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Structure
‒ Traditional data sources ex. Database, Billing database, CRM data based, Subscriber data, ERP databased
Semi Structure
‒ Text file, X detail record (XDR), Social Media content, Network data, Server logs, Email..
Non Structure
‒ Picture, Video, Audio , Recording information…etc
Data Types
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Data Types
Structured
• Traditional data sources ex. Database, Billing database, CRM data based, Subscriber data, ERP databased
Semi Structured
• Text file, X detail record (XDR), Social Media content, Network data, Server logs, Email.
Unstructured
• Picture, Video, Audio , Recording information…etc
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VOLUME VELOCITY VARIETY VERACITY VALUE
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?
? ? ? ? ?
Data at
Rest Data in
Motion
Data in Many
Forms
Data in
Doubt
Data in
Limbo
Source: Evariant
IoT makes Traditional shifts to Big Data
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Source: A digital age vision of insurance services, CRIF Reference
Two world must combine into one cubic / How to ?
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D ATA L A K E MODERNIZE
OPERATIONS
Software-defined
Convergence
Flash
Automation
EMPOWER
INNOVATION
DevOps
Open source
Microservices
Containers
I.T. AS A
SERVICE
AGILE APP
DEVELOPMENT
ADVANCE TO AN AGILE I.T. ENVIRONMENT
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Digital Transformation and Change Management
1st December 2016
Dr.Marrut Manistitya
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Drivers for Digital Transformation in Government
• เพิม่ประสทิธภิาพการท างาน และความโปรง่ใส
• พฒันากระบวนงานเพือ่รองรบั smart
government และ smart cities
• ดงึดดูผูล้งทนุเพิม่ขึน้
• สามารถบรูณาการฐานขอ้มูลทีห่ลากหลาย
(Integration) เพือ่การเขา้ถงึตลอดเวลา (Real
Time) และใชข้อ้มูลเพือ่การจดัการและวเิคราะห ์
อย่างมปีระสทิธภิาพ (Analytic)
• พฒันาความพงึพอใจและความมั่นใจของ
ประชาชนตอ่ภาครฐั
• ลดตน้ทนุด าเนินการและไดป้ระสทิธผิลมากขึน้
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Thailand : Digital Economy & Government Digital Transformation
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โดยอา้งถงึค าสัง่กระทรวงพลงังาน ที ่25/2559
‒ ก าหนดนโยบาย แผน และมาตรการดา้นพลงังานของประเทศ
‒ จดัหาพลงังานใหเ้พยีงพอตอ่ความตอ้งการและความมัง่คงของประเทศ
‒ ก ากบักจิการพลงังานและราคาพลงังานใหม้คีวามเหมาะสม
‒ เป็นศนูยข์อ้มูลดา้นพลงังาน และสนับสนุนการวจิยัและพฒันาดา้นพลงังาน
ภาระกจิหลกักระทรวงพลงังาน
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Energy 4.0
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ระดบัประเทศ
‒ ผลกัดนัใหเ้กดินวตักรรมดา้นพลงังานใหม่ๆ เพือ่ความทนัสมยัและแขง่ขนัไดใ้นระดบัโลก
‒ สง่เสรมิการวจิยัและพฒันาเกีย่วกบัดา้นพลงังาน
‒ Firm Renewal Energy & Energy Storage
‒ Electric Vehicle / Smart Grid / Smart City / Smart Home by using Information Technology
‒ การบรหิารจดัการดย้ความโปรง่ใน เป็นธรรม ตรวจสอบได ้
ระดบัชมุชน
‒ สรา้งรายได ้ลดรายจา่ย ผ่านโครงการประชารฐัตา่งๆ
Energy 4.0
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การจดัหาพลงังานเพยีงพอต่อ
ความตอ้งการ มคีวามมัน่คง และ
สง่เสรมิการลงทนุ
การก ากบัดแูลกจิการพลงังานและ
ราคาพลงังาน
การพฒันาพลงังานทีย่ ัง่ยนืและ
เป็นมติรตอ่สิง่แวดลอ้ม
การเป็นองคก์รสมรรถนะสงูทีย่ดึ
มัน่ในหลกัธรรมาภบิาล
ยุทธศาสตรก์ระทรวงพลงังาน 11 หน่วยงาน (พ.ศ. 2559 – 2563)
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4 Waves in The Progress of Digital
Source :
http://www.verozen.co.uk/tag/transformation/
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GOV DIGITAL TRANSFORMATION
Accelerate cost-efficiency
and time to market by
rethinking
OPERATIONS AND
PROCESSES
PROCESS AUTOMATION
WORKFORCE MOBILITY
VALUE CHAIN EFFICIENCY
Increase citizen
satisfaction and
engagement by improving
PEOPlE EXPERIENCE
MOBILE
REAL-TIME INFORMATION
PERSONALIZED ENGAGEMENT
Unlock new knowledge,
R&D and Smart Tech
NEW TECHNOLOGY
AND MODERNIZED
SERVICES
DATA-CENTRIC SERVICES
GLOBAL EXPANSION
DIGITAL SERVICE
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LEAD TRANSFORMATION
OR BECOME
IRRELEVANT
Information Technology Unit
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DIGITAL TRANSFORMATION
IS NOT EASY IS MANDATORY
PROCESS PEOPLE TECHNOLOGY
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GAP
WHAT HINDERS DIGITAL TRANSFORMATION?
Network
Storage
Server
Virtual Machine
Operating System
Database
Middleware
Application
I.T. PARADIGM
BUSINESS PARADIGM
DIGITAL TRANSFORMATION
RETHINK OPERATIONS
AND PROCESSES
Accelerate cost efficiency and time to market
IMPROVE PEOPlE
EXPERIENCE
Increase Satisfaction
and engagement
ADOPT NEW TECH and
SVC
Unlock new knowledge,
R&D and smart Technology
DATA FOUNDATION TO ACCELERATE
DIGITAL TRANSFORMATION
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ท าไม ETL, API และ Opened Infrastrucure จงึมคีวามส าคญั
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DATA
SOURCES Structured Data Unstructured Data IoT Data Mobile
101100101010010101010
011010101001001100101
DATA
MANAGEMENT
Abstract
Automate Accelerate
Access
Data
Independence
DATA
MOBILITY
Any Cloud Any App
Anywhere Any Use
Data
Access
DATA
ANALYTICS
Data-Driven
Insight
Data Strategy for Digital Transformation
DATA
GOVERNANCE
Data
Control
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DELIVER IT AS A SERVICE THROUGH DATA INDEPENDENCE
Data Management
ABSTRACT
with proven
virtualization
AUTOMATE
with best
orchestration
ACCESS
with 100% data
availability
ACCELERATE
with highest flash
performance
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Data Governance
ENSURE CONTROL OF ENTERPRISE DATA
COMPLIANCE PROTECTION SECURE HYBRID
CLOUD
SECURITY
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Data Mobility
INCREASE ACCESS TO BECOME A DATA BROKER
FROM ANY
APPLICATION
TO ANYWHERE TO ANY CLOUD FOR ANY USE
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FOSTER INNOVATION THROUGH DATA-DRIVEN INSIGHT
Data Analytics
DATA
SOURCES
1011001010
1001010101
0011010101
DATA-
DRIVEN
INSIGHTS
OUTCOMES
Better Fraud
or Issues
Detection
Faster
Applications
New Services
Development
DATA
BLENDING
AND INTEGRATION
DATA VISUALIZATION
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DATA
ANALYTICS
DATA
GOVERNANCE
DATA
MANAGEMENT
Abstract
Automate Accelerate
Access
DATA
MOBILITY
Any Cloud Any App
Anywhere Any Use
DATA
SOURCES Structured Data Unstructured Data IoT Data Mobile
101100101010010101010
011010101001001100101
Data
Independence
Data
Control
Data
Access
Data-Driven
Insight
DATA STRATEGY FOR
DIGITAL TRANSFORMATION MODERN & AGILE I.T. ENVIRONMENT
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E-Government Change Management
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INFORMATION TECHNOLOGY (I.T.)
Business and Human Driven Data
OPERATIONAL TECHNOLOGY (O.T.)
Machine Driven Data
I.T. O.T.
Internet of Things on the Horizon
INTEGRATED
EXPERTISE
INTEGRATED
ANALYSIS
INTEGRATED
DATA
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Script SQL NoSQL Stream Search In-Mem Others
CRM ERP Billing Data
Subscriber
Data
Product
Catalog
Call Detail
Record
TRADITIONAL SOURCES
Clickstream Server Logs Sensor Data
Server Logs Network
Data
Merchant
Listings
EMERGING & NON-TRADITIONAL SOURCES
Social Media
Voice to Text
Source: Hadoop for Telecommunications
EDW
MPP HDFS
(Hadoop Distributed File System)
Secu
rity
Op
era
tio
ns
ETL by
DATA REPOSITORIES
ANALYSIS
360° customer view
Churn reduction
CDR analysis
Customer sentiment
Network optimization
Bandwidth allocation
Data monetization
Analytics as a service
YARN: Data Operating System
Go
vern
an
ce
& I
nte
gra
tio
n
Example of Digital Transformation Architecture Big Data & Data Integration -Telecommunications
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Example of Energy4.0 and IoT in Action
CONTENT
MANAGEMENT
PREDICTIVE
ENERGY
ANALYTICS
UNIFY DATA
SOURCES
REAL-TIME
VISUALIZATION
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Energy4.0 Business Models : I IT Management as an Enabler for Innovation
Source : http://www.business2community.com/strategy/transforming-utilities-success-based-on-a-fitness-diagnosis
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DO WE READY TO
GET START?
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ขอบคุณครบั