The document outlines an agenda for a presentation on digital transformation, including introducing concepts like the internet of things, big data, and digital initiatives. It then provides examples of using big data for applications in areas like retail stores, disaster warnings, and outbreak detection. The document concludes by presenting a digital transformation reference model and discussing elements like digital platforms, business services, and digital organizations.

1. Danairat T.
อ.ดนัยรัฐ ธนบดีธรรมจารี
+668-1559-1446 Line ID: danairat
FB: https://www.facebook.com/tdanairat
Part 1 Digital Transformation
Part 2 Enterprise Architecture
Part 3 Big Data, BI vs. BA
Part 4 People Transformation
Part 5 The Metamodel of Transformation
Digital Transformation
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
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“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data
Monetization
New
Customer
s,
Channels
IoT, Smart Devices
Business
Process
Optimization/O
utsourcing
Smart Workforce
Enterprise
Metamorp
hosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,
Mission
Statements
1

2. Danairat T.
Part 1
2

3. Danairat T.
Digital Transformation
อ.ดนัยรัฐ ธนบดีธรรมจารี
Line ID: Danairat
FB: Danairat Thanabodithammachari
+668-1559-1446
The Metamorphosis, Cloud, Big Data, IoT/IoE, Smart Workforce
ยัѷงยืน
มัѷงคัѷง มัѷนคง
Digital Initiatives
Digital Platform
Business Services &
Business ObjectivesNew
Servic
es
Optimize
d Services
Retire
d
Servic
es
C
E
O C
F
O
C
O
O
C
M
O
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers,
Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
3

4. Danairat T.
Agenda
• Today Digital Business
• Digital Business Maturity
• Big Data Introduction
• Key Big Data Use Cases
• Digital Transformation Reference Model
• Digital Transformation Domains
• Digital Transformation Worksheet
• Summary
4

5. Danairat T.
Today Digital Business
Digital Business
Smart
Workplace
5

6. Danairat T.
Internet of Things
The internet of things (IoT) is the network of physical devices, vehicles, buildings
and other items—embedded with electronics, software, sensors, and network
connectivity that enables these objects to collect and exchange data.
ITU. 26 June 2015.
6

7. Danairat T.
Application
Areas
Smart Cities
Smart
Environment
Smart
Energy
Smart
Agriculture
E-Health Retail Logistics
Industrial
Control
Internet of Things
Monika, 2015
7

8. Danairat T.
New Digital Touch Points
Not only application software
8

9. Danairat T.
Smart Farming
Monika, 2015
9

10. Danairat T.
Drones will continue to
revolutionize photography
and videography but real
innovation will derive from
utility in vertical
applications such as
delivery, care, exploration,
etc.
Image Credit: Alec Momont
10

11. Danairat T.
Mixed Reality
Image via MagicLeap
11

12. Danairat T.
3D Printing
suefeng.com/blog/3d-printing-and-additive-manufacturing/
12

13. Danairat T.
Smart Home
Monika, 2015
13

14. Danairat T.
The entire Web will be re-imagined for a mobile-first and mobile-only world that is
screen, location, context and intention-aware. This radically transforms the
purpose of the web to become more dynamic, personal and useful at a time when
people are forcing the end of a traditional information-broadcast, page/form-
based, keyword world. Everything from websites to apps to commerce will require
overhaul or complete innovation to cater to the EGOsystem, or the demand for
real-time personalized engagement.
Altimeter 2016
New Digital Touch Points
Not only application software
14

15. Danairat T.
Smart Cars
Monika, 2015
15

16. Danairat T.
Smart Healthcare
Monika, 2015
16

17. Danairat T.
Big Data Introduction
Volume
Variety Velocity
DB Table
Delimited Text
XML, HTML
Free Form Text
Image, Music, VDO, Binary
Batch
Near real time
Real time
GB
TB
PB
XB
ZB
17

18. Danairat T.
Big Data Landscape 2016 (version 3.0)
18

19. Danairat T. 19

20. Danairat T.
Retails Store Use Cases
1. Golden zones
2. More expensive items
with bigger margins
3. Endcaps
4. Buy level
5. Traffic builder
6. Action alley
7. Front of shop
8. Signpost brands
9. Hanging signs and shelf
signs
10. Range reduction
Less can be more. Average household
uses 300 products in a year
independent.co.uk
20

21. Danairat T.
Retails Store Use Cases
Store Layout ProfitsCustomer Density
independent.co.uk
21

22. Danairat T.
การเตือนภัยพิบัติ
Sensor ปริมาณนํѸาฝน นํѸาในเขืѷอน ปริมาตรเขืѷอน, แสดงแนวโน้มสภาวะนําท่วม
Nearly Real-Time
22

23. Danairat T.
Outbreak with Early Detection
Management of Outbreak with Early Detection
23

24. Danairat T.
New Digital Touch Points
Not only application software
24

25. Danairat T.
Cyber Security Use Cases
Mobile
Workforce,
Jail-Break
Smart
Devices
Social Network
Web Sites
Web Sites
Top E-
Commerce
Web Sites/
SaaS
Providers
Future
Public Smart
Devices
Big Data
Hadoop
Top Mobile Malware
(Jail-Break)
Top No SSL
E-Commerce
Top Trojan on
Public Smart TV
or Public Smart Device
Top Executive Posted
each Social Network
25

26. Danairat T.
Cyber Security Use Cases
1. Analyzing and Enhancing Mobile Workforce Access
Management Security
2. Analyzing and Advising Senior Officers who are most active in
Social Network Web sites
3. Web Sites Ports Scan Detection
4. DDOS Pattern Detection using Hadoop and Flume for Web Site
Log Streaming and Real-time Analytics
5. Trojan Detection by Hadoop Weblog Analytics
6. Detecting Top E-Commerce Web Sites Hacker
7. Analyzing SME Cloud Migration Security
8. Detecting Security Thread on SmartTV User Agent, Motion
Censor
9. Analyzing Jail-Break and Root Mobile Device
10. Detecting New Cyber Criminals in New Technology eg. M2M
Network Area
26

27. Danairat T.
http://sloanreview.mit.edu/article/the-nine-elements-of-
digital-transformation/
http://www.forbes.com/sites/gilpress/2015/03/09/5-things-to-
do-when-you-lead-a-digital-transformation/#1d8021a2624d
27

28. Danairat T.
https://www.capgemini-
consulting.com/digital-transformation
28

29. Danairat T.
http://www.digitaltransformationbook.com/tag/harvard-business-review/
29

30. Danairat T.
Digital Strategy vs. Digital Transformation
Digital Strategy Digital Transformation
Project or Program Level Enterprise Wide Level
Quick Term Win Medium to Long Term Win
Bottom-up or Top-Down approach Top-down approach
Technology Leads The Changes Process or Culture Leads The Changes
Serve the needs of one particular
business group
Serve the needs of an enterprise or
inter-enterprise
Eg. Create Digital Channel and Social Analytic for
Marketing Business Unit,
Image processing for Production Business Unit
Eg. Re-define company mission, transforming
organization and revise business processes with related
policies and adopt new technologies into cross-function
business units
Related Technologies: Cloud Computing, Big Data, Smart Devices (Mobile, IoT/IoE, 3D Printing, etc.), Social
Network/AI Technology, Cyber-physical system (CPS), Advanced System Architectures and Securities
30

31. Danairat T.
Digital Transformation
Digital transformation is the process of transforming
an vision, missions, services, organizations, digital
initiatives with business processes and technologies
to the organization.
Digital Business
Smart Workplace
31

32. Danairat T.
Digital Transformation Reference Model
“Innovation”
“Efficiency”
“Sustainability”
Vision,
Mission
Statements
Big Data
Digital
SecurityCloud
32

33. Danairat T.
Digital Transformation Reference Model
“Innovation”
“Efficiency”
“Sustainability”
Vision,
Mission
Statements
Digital
Initiatives?
Big Data
Digital
SecurityCloud
33

34. Danairat T.
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Vision,
Mission
Statements
Digital Transformation Reference Model
The Business Services and
Business Objectives
• New Services
• Optimized Services
• Retired Services
34

35. Danairat T.
Business Services and Business Objectives
• Provide new digital services to increase
customer retention 15% by 1 year
• Increase revenue by 30% annually via next best
action alert (for commercial organization)
• Introduce existing products into a new market
to increase market share 15% by 1 year
• Improve internal communications to reduce
operation risk 10% by 1 year
• Decrease expenses 25% by 1 year via digital
adoption
• Retire low value services to reduce cost 15% by
1 year
New
Services
Optimized
Services
Retired
Services
New
Services
New
Services
Optimized
Services
Optimized
Services
New
Services
Retired
Services
Samples
35

36. Danairat T.
Business Services and Business Objectives
• Client:________, Service Name: ___________, Objective:____________, Released Date: _______
New
Services
Optimized
Services
Retired
Services
New
Services
New
Services
Optimized
Services
Optimized
Services
New
Services
Retired
Services
• Client:________, Service Name: ___________, Objective:____________, Released Date: _______
• Client:________, Service Name: ___________, Objective:____________, Released Date: _______
• Client:________, Service Name: ___________, Objective:____________, Released Date: _______
• Client:________, Service Name: ___________, Objective:____________, Released Date: _______
• Client:________, Service Name: ___________, Objective:____________, Released Date: _______
The Brainstorm Workshop
36

37. Danairat T.
Digital Transformation Reference Model
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Digital Organization
Vision,
Mission
Statements
Capabilities Definition
• Knowledge
• Experiences
• Skills
• Characters
• Behavior
Organizations need to be
established after identified
capabilities and
functions required
from manned and
unmanned
workforce
37

38. Danairat T.
Digital Organization
• Paperless policy organization
• Always online
• Fellowship vs. Employee
• Put the right skill on the right role
• CMO: innovation for new products offering
• COO: operation and automation
• CFO: finance, budgeting, HR, Audit, QA and IT
• CEO: combine success and alignment
• Machines and decision engines
CEO
CFOCOOCMO
38

39. Danairat T.
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
Digital Transformation Reference Model
Business processes
and digital touch
points need to be
designed together.
39

40. Danairat T.
BPaaS and Digital Initiatives
• Business Process for customers need to be more
flexible
• Business Process for operation need to be more
automation
• Business Process for back office (HR, payroll, finance)
need to be more control
• Digital initiatives and Business process in “To Be” state
• Enterprise Metamorphosis will redefine a new vision
Digital Initiatives
Data Monetization
New Customers,
Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Business Process as a Service
More ControlMore Flexible
40

41. Danairat T.
Business Process Development
4 phases of business process development
www.samarin.biz
41

42. Danairat T.
Business Process, IoT and Social Integration
• Enrich customer profile
• Improve customer relationship
• Improve business rules and approval conditions
• Create Innovation
• Enhance operational transparency
Michael Moyal, Blue Corw, 2008
Sensor
42

43. Danairat T.
Business Service Analysis Worksheet
Service Name: Key Objectives:
Service Owner:
Version: Date/Time:
Business Check Points, Information
Key Business Issues: Key Technology Issues:
1. ___________, __________
2. ___________, __________
3. ___________, __________
4. ___________, __________
5. ___________, __________
1. ___________
2. ___________
3. ___________
4. ___________
Business
Function1
Business
Function2
Business
Function3
F1_P01 F1_P02 F1_P03
F2_P01 F2_P02 F2_P03
F3_P01 F3_P02
1
2
3
4
5
New
Improve
Retire
43

44. Danairat T.
แบบการปรับปรุงบริการในหน่วยงาน
ชืѷอบริการ: เป้ าประสงค์:
หน่วยงานทีѷรับผิดชอบ:
Version: Date/Time:
จุดติดตามขัҟนตอนการทํางาน, สารสนเทศ
ประเด็นติดค้างด้าน
กระบวนการทํางาน:
ประเด็นติดค้างด้าน
เทคโนโลยี :
1. ___________, __________
2. ___________, __________
3. ___________, __________
4. ___________, __________
1. ___________
2. ___________
3. ___________
4. ___________
หน่วยงานทีѷ 1 F1_P01 F1_P02 F1_P03
F2_P01 F2_P02 F2_P03
F3_P01 F3_P02
1
2
3
4หน่วยงานทีѷ 2
หน่วยงานทีѷ 3
ใหม่
ปรับปรุง
ยกเลิก
44

45. Danairat T.
Enterprise Repository
Owner: Business Units
45

46. Danairat T.
Owner: Technology Unit
Owner: Business Unit with supported by Technology Unit
Enterprise Repository
46

47. Danairat T.
Enterprise Repository
Owner: Technology Units
• #
• Applications / Touch Points / Database / Data
Store Name
• Total Connections
• Concurrent Connections
• Required Response Time (sec.)
• Actual Response Time (sec.)
• Development Software Languages /
Framework (for App)
• Package / In-House (for App)
• Private / Public / Hybrid Cloud
• OS / Platform (Windows, Linux, Docker, etc.)
• Monitoring Tool Name
• Sign On / Security System Name
• % growth / year
• Initial Cost(Baht)
• M.A. Cost /year (Baht)
• Remarks
47

48. Danairat T.
Digital Transformation Reference Model
Who
How
What
Why
When
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
48

49. Danairat T.
Digital Transformation Reference Model
Leadership skill,
SWOT, Sig Sigma
Service Science
Organization Dev.
PMBOK,
BPM,
DMBOK
CMMI,
ITIL
with enterprise frameworks
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
49

50. Danairat T.
Digital Transformation Reference Model
with Balanced Scorecard framework
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
Learning &
Growth
Internal
ProcessCustomer FinancialFinancial
50

51. Danairat T.
Principle
Digital Initiatives
Digital Platform
Business Services &
Business ObjectivesNew
Services
Optimized
Services
Retired
Services
C
E
O
C
F
O
C
O
O
C
M
O
Big Data Digital Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process Optimization/Outsourcing
Smart Workforce
Enterprise Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
เกิดประสิทธิผล (Productivity)
มีประสิทธิภาพ (Efficiency)
Digital Initiatives
Digital Platform
Business Services &
Business ObjectivesNew
Services
Optimized
Services
Retired
Services
C
E
O
C
F
O
C
O
O
C
M
O
Big Data Digital Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process Optimization/Outsourcing
Smart Workforce
Enterprise Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
Get right things
Get things right
51

52. Danairat T.
Digital Transformation Reference Model
ยัѷงยืน
มัѷงคัѷง มัѷนคง
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
52

53. Danairat T.
Digital Transformation Domains
# Domain Increasing of
Revenue
(มัѷงคัѷง)
Resource
Optimization
(ยัѷงยืน)
Reduce Risk
(มัѷนคง)
1 Finance Increase Revenue Create Services
Portfolio
Compliance with laws
regulations
2 Customer New Products,
Service, Promotion
Innovation
Reuse Business
Channels
Service Continuity and
Availability, Retired
Services
3 Internal Create New
Business Process
Eliminate Production
Cost
Standardize Change
Control, Eliminate
unnecessary laws
4 Learning
and
Growth
Seek more Talent
People
Standardize Skill
Required
Enterprise Knowledge
Repository, Work from
home, Smart workplace
53

54. Danairat T.
Digital Transformation Domains
# Domain Increasing of
Revenue
Resource
Optimization
Reduce Risk
1 Finance
2 Customer
3 Internal
4 Learning
and
Growth
54

55. Danairat T.
Digital Transformation Worksheet
Who
(Who care)
What Service
Type
Why
(Objectives)
When
(to be
released)
Digital Data
Source
CEO Business
Performance
Report Service
Stake holder
benefits 100%
Jun 2016 ERP System, Fin.
Spreadsheets
CMO Omni Channel
Service
Increase
awareness 30%
Jun 2016 Social Network,
Twitter
COO Reduce waste
in Plant
Reduce cost
(opex) 15%
Dec 2018 Plant state data
CFO Eliminate the
low value
business
service
Support Risk
Control and
reduce cost
(opex) by 15%
Apr 2016 ERP System, Fin.
Spreadsheets
CIO Creating new
channel for
executives
Digital
innovation
program
alignment
Apr 2016 CRM App, Plant
Data, ERP Data
Business
Partners
Automate
Reports Service
Increase
productivity
20%
July 2016 CRM App, Plant
Data, ERP Data
New
Services
Optimized
Services
Retired
Services
Optimized
Services
New
Services
New
Services
Samples
55

56. Danairat T.
Digital Transformation Worksheet
Who
(Who care)
What Service
Type
Why
(Objectives)
When
(to be
released)
Digital Data
Source
56

57. Danairat T.
Initiatives Projects 2016 2017 2018 2019
H1 H2 H1 H2 H1 H2 H1 H2
Executive
Intelligence and
external integration
Data Interoperability
Information Service for
Business Partner
Dev Stabilization DevOps Standards
Business Process
Optimization
&
Application
Consolidation
Identify Processes and PMO
Core Processes
Optimization
Applications Consolidation
Open Data for PPP
Business Intelligence
Digital Platform Cloud, Big Data Platform
Governance Framework
IoT and Social Integration
Network and Office
Automation
Digital Transformation Master Plan
(DX Master Plan)
Standardization &
Optimization
Growth
57

58. Danairat T.
Digital Transformation Reference Model
Digital Touch points
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
Big Data Digital Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Customer
Recommendation Engine
Operation Smart Devices/IoT Secure Smart Workforce
Organizations
Vision,
Mission
Statements
New
Skills
Optimized
Skills
Retired
Skills
New
Behaviors
3. Combine Manned
and Unmanned Power
2. Identify (Digital) Services
1. Redefine Vision/Missions
Optimized
Behaviors
Retired
Behaviors
Behaviors
4. Deploy Behavior
Processing
5. Establish
Digital
Technology
5 Key Steps towards Metamorphosis
58

59. Danairat T.
5 Key Steps towards Metamorphosis
1. Redefine Vision/Missions: เริѷมจากการประเมินสถานะผลการดําเนินงานของ
ท่านเมืѷอเปรียบเทียบกับคู่แข่งในยุค Digital พร ้อมทัѸงสถานการณ์ทางเศรษฐกิจ
และวิกฤตการณ์ต่าง ๆ ทีѷเกิดขึѸนมาวิเคราะห์ว่า Vision และ Missions ของเราเดิม ๆ
ทีѷมีอยู่สามารถรับมือกับสิѷงทีѷเข ้ามาใหม่ ๆ ได ้หรือไม่ หรือมีความจําเป็นต ้องปรับ
วิสัยทัศน์ใหม่ให ้สอดรับกับภูมิทัศน์ทีѷได ้เปลีѷยนไปแล ้ว
2. Identify (Digital) Services: เริѷมจากการมองสืѷอ Digital มาใช ้ในการขับเคลืѷอน
บริการใหม่ ๆ เพืѷอให ้เกิดความเท่าทันในการให ้บริการในยุคปัจจุบัน โดยจะต ้องไม่
ลืมทีѷจะรืѸอถอนบริการบางอย่างทีѷไม่ก่อให ้เกิดคุณค่าออกไปด ้วย เพืѷอไม่ให ้เกิดการ
หน่วงเหนีѷยวในระดับขัѸนตอนการทํางาน
3. Combine Manned and Unmanned Power: เริѷมวิเคราะห์และแยกแยะออกมา
เป็น Skills ต่าง ๆ ทีѷจําเป็นเพืѷอทําให ้งานสําเร็จ โดยบางงานเราสามารถใช ้อุปกรณ์
เครืѷองมือเข ้ามาช่วยมนุษย์ทํา เช่นงานทีѷต ้องทําซํѸา ๆ หรือเข ้าไปในทีѷเสีѷยงภัย
อันตราย และเราต ้อง Retire Skills ทีѷไม่ก่อให ้เกิดคุณค่าออกไปบ ้างเพืѷอแลกกับการ
อยู่รอดหรือการก ้าวเดินต่อไปได ้
59

60. Danairat T.
5 Key Steps towards Metamorphosis
4. Deploy Behavior Processing: ในยุค Digital แทบทุกสิѷงจะเชืѷอมโยงถึงกัน
หมด และทัѸงผู้ให ้บริการและลูกค ้าผู้รับบริการ โดยเราจะต ้องกลับมาพิจารณาถึง
พฤติกรรมต่าง ๆ ทีѷเกิดขึѸน ทัѸงด ้านผู้รับบริการ และด ้านผู้ให ้บริการ ถึงเงืѷอนไขทีѷมี
ผลต่อการตัดสินใจใช ้บริการ หรือเลิกใช ้บริการ โดยในบางหน่วยงานเริѷมสนใจการ
วิเคราะห์พฤติกรรมผู้รับบริการมากขึѸนจนสามารถรับลูกค ้าทีѷเป็น Unmanned
Customers ได ้ด ้วย (เช่น Machine-2-Machine) ในทางกลับกันผู้ให ้บริการก็ต ้อง
ปรับตัวให ้มีพฤติกรรมใหม่เช่นกัน โดยจะต ้องเลิกพฤติกรรมทีѷไม่ก่อให ้เกิดคุณค่าต่อ
การเดินทางสู่ความสําเร็จออกไปด ้วย
5. Establish Digital Technology: เราไม่สามารถปฏิเสธการใช ้ Digital
Technologies (Social Network, Big Data, Cloud, Mobile, etc.) ได ้อีกต่อไป
เพราะเครืѷองมือเหล่านีѸได ้เข ้ามาเป็นส่วนหนึѷงของชีวิตประจําวันแล ้ว แต่อย่างไรก็
ตามเราจะต ้องไม่ลืมด ้านความปลอดภัยในการใช ้งาน เพราะสิѷงทีѷทําให ้เกิดความ
สะดวกได ้มาก ๆ เมืѷอเกิดเหตุขัดข ้องขึѸนมาก็จะเป็นภัยร ้ายแรงมาก ๆ เช่นกัน
60

61. Danairat T.
Digital Transformation Reference Model
The Summary
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
61

62. Danairat T.
Part 2
62

63. Danairat T.
Enterprise Architecture
for Digital Transformation
อ.ดนัยรัฐ ธนบดีธรรมจารี
Line ID: Danairat
FB: Danairat Thanabodithammachari
+668-1559-1446
63

64. Danairat T.
Agenda
• Why do we need Enterprise Architecture (EA)?
• What is an EA and key benefits?
• EA and ERP Implementation
• Building EA
• Enterprise Reference model
• Business Architecture
• Application Architecture
• Data Architecture
• Technology Architecture
• Key EA Activities
• EA and Digital Transformation Master Plan
• Summary
64

65. Danairat T.
Why do we need Enterprise Architecture
(EA)?
65

66. Danairat T.
IT Silos
Database
Core
App
66

67. Danairat T.
IT Silos
Database
Core
App
Database
Finance
App
67

68. Danairat T.
IT Silos
Database
Core
App
Database
CRM
App
Database
Other
Apps
Database
HR App
Database
Finance
App
68

69. Danairat T.
IT Silos
Database
Core
App
Database
CRM
App
Database
Other
Apps
Database
HR App
Database
Finance
App
IT Silos make inefficient to scale the business
69

70. Danairat T.
IT Silos
Database
Core
App
Database
CRM
App
Database
Other
Apps
Database
HR App
Database
Finance
App
IT Silos make inefficient to scale the business
70

71. Danairat T.
IT Silos
Database
Core
App
Database
CRM
App
Database
Other
Apps
Database
HR App
Database
Finance
App
IT Silos make inefficient to scale the business
71

72. Danairat T.
IT Silos
Database
Core
App
Database
CRM
App
Database
Other
Apps
Database
HR App
Database
Finance
App
IT Silos make inefficient to scale the business
72

73. Danairat T.
Top Concerns from IT Silos
• แต่ละหน่วยงานในองค์กรให ้ข ้อมูลทีѷไม่ตรงกันแก่ลูกค ้า
ผู้รับบริการ
• ข ้อมูลรายงานผิดพลาดเมิѷอต ้องใช ้ในการตัดสินใจด ้าน
ธุรกิจ
• มีหลายกระบวนการทํางานทีѷซํѸาซ ้อนกัน
• ขาดความคล่องตัว และใช ้เวลามากเมืѷอต ้องปรับปรุงเพืѷอ
รองรับบริการใหม่ๆ
• ต ้องใช ้ความพยายามอย่างหนักในการทําให ้ทุกๆระบบ
ผ่านการตรวจสอบด ้าน IT Audit, Regulatory
Compliance, หรือ ISO ต่างๆ
• ต ้องใช ้ทักษะด ้าน IT หลากหลายเกินความจําเป็นต่อ
การดําเนินธุรกิจ
• IT เป็น Bottleneck ต่อการขับเคลืѷอนธุรกิจ
73

74. Danairat T.
What is an EA and key benefits?
74

75. Danairat T.
Enterprise Architecture
What is an Enterprise Architecture?
A structure design to ensure alignment between
the business and IT strategies
สถาปัตยกรรมด้าน IT/Digital ให้กับองค์กร เพืÉอเป็นโครงสร้างในการต่อยอดธุรกิจได้อย่างยัÉงยืน
75

76. Danairat T.
Enterprise Architecture
Enterprise Architecture is a
structure design to ensure
alignment between the business
and IT strategies plus operating
model, guiding principles.
76

77. Danairat T.
Enterprise Architect
Responsibilities
• Understanding of business needs and technology
limitation.
• Facilitate experts to work for enterprise goals
• Promotion of shared infrastructure and applications
• Management of the risks associated with
information and IT
• Build staff knowledge and skills in specific areas.
• Involvement in the standards and policy guidelines.
77

78. Danairat T.
without EA vs. with EA
Quick build and difficult to scale Design for scale and maintain
VS.
78

79. Danairat T.
without EA vs. with EA
Quick build and difficult to scale
Difficult to apply security
Design for scale and maintain
Secure architecture for growth
VS.
79

80. Danairat T.
without EA vs. with EA
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
BEP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
BEP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Without Enterprise Architecture
Inefficient IT
Complex and Delay Response
With Enterprise Architecture
Productive IT
Cloud, Big Data, Social, Mobile
VS. ERP Big Data
SecurityStorage
WIFI
Mobile
IoT
80

81. Danairat T.
Enterprise Transformation
Brian H. Cameron, Ph.D., Executive Director, Center for Enterprise Architecture, The Pennsylvania State University
81

82. Danairat T.
Types of Architectures
Architecture Description
Business Architecture Creating business operating model, business services,
organization and business process/policy
Solution Architecture Creating an information system with its integration
Application Architecture Creating an application touch points with screen flows
and creating report results
Data Architecture Creating data model both structured and unstructured
data and governance framework
Technology and Infrastructure
Architecture
Creating digital infrastructure and smart office including
network, office automation, wireless, storage, cloud, big
data and security infrastructure
Enterprise Architecture Creating enterprise blueprint with facilitate all architects
and key users to build transitioning roadmap
82

83. Danairat T.
Key Benefits from Enterprise Architecture
Benefit Description
Productivity Faster to build new service from existing IT inventory
Innovation Enterprise can be able to create new innovation by
using EA centralized repository
Cost Saving Cost saving with reusable process, application, data and
infrastructure
Reduce Risk EA governs the change impact analysis for new services
deployment
Digital platform establishment EA creates a foundation for digital business execution
including cloud, big data, social, mobile, and smart
workforce
Enterprise Architecture Creating enterprise blueprint with facilitate all architects
and key users to build transitioning roadmap
83

84. Danairat T.
A Foundation for Business Execution
Key Components Reference Models/ Artifacts / Guidelines
Operating Model
The necessary level of business
process integration and the necessary
level of business process
standardization
Enterprise Architecture
The Reference Models, Relationships,
Maturity Model with Guiding
Principles for Business and IT
Alignment
Engagement Model
The Development Process,
Governance and Project
Management
EA Repository
Diversify
Unify
Replication
Coordination
LevelofIntegration
Level of Standardization
EA Maturity ModelEA Reference Model
84

85. Danairat T.
Operating Model
“The operating model is an abstraction representation of the necessary level
of business process integration and the necessary level of business process
standardization”
85

86. Danairat T.
Operating Model in Business
“The operating model is an abstraction representation of the necessary level of
business process integration and the necessary level of business process
standardization”
MIT Sloan Center, 2011
Diversify
Unify
Replication
Coordination
LevelofIntegration
Level of Standardization
86

87. Danairat T.
Business Strategy Map
Purpose • A Business Strategy Map is a visual representation of the
strategy of an organization. It illustrates how the
organization plans to achieve its mission and vision by
means of a linked chain of continuous improvements.
How to
Use the
Artifact
• Business Strategy Maps describe an organization’s
strategies from four perspectives:
• Financial perspective
• Customer perspective
• Internal (business) process perspective
• Learning and growth perspective
Audience • Executive Stakeholders
• Line of Business Executives
87

88. Danairat T.
Group Workshop - Business Goal and Strategy Map
Financial
Perspective
Customer
Perspective
Internal
Processes
Learning
& Growth
Perspective
Human and Organizational Capital
Operations Management Customer Management Innovation Management Regulatory & Social
Customer Value Proposition
Objectives /
Measurements
Initiatives/ Business
Processes
Business Goals /TargetsPerspectives
88

89. Danairat T.
Business Process Management
Business process management (BPM) is a management
approach focused on aligning all aspects of an
organization.
It promotes business effectiveness and efficiency while
striving for innovation, flexibility, and integration with
technology.
89

90. Danairat T.
Business Process Management
People
Process Data &
ToolsConsumes,
Generates,
Transforms
Access,
Ownership,
Permissions
Roles,
Responsibility,
Governance
90

91. Danairat T.
EA and BPM
• Efficiency
• Automating steps and handoffs
• Integrating systems and data
sources
• Compliance
• Achieving and proving
standardization
• Agility
• Changing processes quickly and
easily
• Visibility
• See what’s happening in a
process
• Enterprise planning
• Describe current and future
state of the structure of an
enterprise
• Business-IT alignment
• Links between
business/technology artefacts
• Business visibility and
measurement
• Change-friendly capability delivery
• Adaptable and agile for
continuous change
EA Goals BPM Goals
91

92. Danairat T.
CommonEnterpriseBusinessProcessSamples
92

93. Danairat T.
Business and IT Alignment
MIT Sloan Center, 2011
93

94. Danairat T.
พัฒนาการของการใช้ไอทีในองค์กร
• ต่างคนต่างทํา แล้ว
มาเชืѷอมกันทีหลัง
• ระบบงานกระจัด
กระจาย เชืѷอมต่อกัน
ขาดมาตรฐาน
• เปลีѷยนแปลงยาก
• ขยายระบบยาก
• ใช้เวลามากในการ
จัดการ และ
แก้ปัญหา
• มีความเสีѷยงสูง
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Silo
94

95. Danairat T.
พัฒนาการของการใช้ไอทีในองค์กร
Security
SFAProduct LMS
Inv
MGMTB2B
product SCM product DBERP
MES-
Dev
SFA
SFA-
Test
SFA-
Stage
Product
Product
ERP-
Stage
ERP-
Prod
MES-
Stage
MES-
Prod
product
DB-
Stage B2B-
StageB2B-
Dev
Security Security Security
Pt. to Pt. Integrations
SFAProduct LMSInv
MGMT
product SCM product DBERP
MES-
DevProduct ERP-
Stage
product
DB-
Stage
• ต่างคนต่างทํา แล้ว
มาเชืѷอมกันทีหลัง
• ระบบงานกระจัด
กระจาย เชืѷอมต่อกัน
ขาดมาตรฐาน
• เปลีѷยนแปลงยาก
• ขยายระบบยาก
• ใช้เวลามากในการ
จัดการ และ
แก้ปัญหา
• มีความเสีѷยงสูง
Rationalization• จัดกลุ่มกระบวนการ
ทํางาน และ
ทรัพยากรไอที
• มีมาตรฐานในการ
รับส่งข้อมูล
• ประหยัดค่าใช้จ่าย
ด้าน SW License
และ support
• ลดต้นทุนด้าน IT
project
time/costs/risks
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Silo Standardization
95

96. Danairat T.
พัฒนาการของการใช้ไอทีในองค์กร
Security
SFAProduct LMS
Inv
MGMTB2B
product SCM product DBERP
MES-
Dev
SFA
SFA-
Test
SFA-
Stage
Product
Product
ERP-
Stage
ERP-
Prod
MES-
Stage
MES-
Prod
product
DB-
Stage B2B-
StageB2B-
Dev
Security Security Security
Pt. to Pt. Integrations
SFAProduct LMSInv
MGMT
product SCM product DBERP
MES-
DevProduct ERP-
Stage
product
DB-
Stage
• ต่างคนต่างทํา แล้ว
มาเชืѷอมกันทีหลัง
• ระบบงานกระจัด
กระจาย เชืѷอมต่อกัน
ขาดมาตรฐาน
• เปลีѷยนแปลงยาก
• ขยายระบบยาก
• ใช้เวลามากในการ
จัดการ และ
แก้ปัญหา
• มีความเสีѷยงสูง
Rationalization • ตัดกระบวนการทํางาน
ทีѷซํѸาซ ้อน
• ลดทรัพยากรทางไอที
ทีѷไม่จําเป็น
• ผลิตบริการด ้านไอทีได ้
เร็วขึѸน
• เพิѷมความปลอดภัยด ้าน
ไอที
• จัดกลุ่มกระบวนการ
ทํางาน และ
ทรัพยากรไอที
• มีมาตรฐานในการ
รับส่งข้อมูล
• ประหยัดค่าใช้จ่าย
ด้าน SW License
และ support
• ลดต้นทุนด้าน IT
project
time/costs/risks
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Silo Standardization Optimization
96

97. Danairat T.
พัฒนาการของการใช้ไอทีในองค์กร
Security
SFAProduct LMS
Inv
MGMTB2B
product SCM product DBERP
MES-
Dev
SFA
SFA-
Test
SFA-
Stage
Product
Product
ERP-
Stage
ERP-
Prod
MES-
Stage
MES-
Prod
product
DB-
Stage B2B-
StageB2B-
Dev
Security Security Security
Pt. to Pt. Integrations
SFAProduct LMSInv
MGMT
product SCM product DBERP
MES-
DevProduct ERP-
Stage
product
DB-
Stage
• ต่างคนต่างทํา แล้ว
มาเชืѷอมกันทีหลัง
• ระบบงานกระจัด
กระจาย เชืѷอมต่อกัน
ขาดมาตรฐาน
• เปลีѷยนแปลงยาก
• ขยายระบบยาก
• ใช้เวลามากในการ
จัดการ และ
แก้ปัญหา
• มีความเสีѷยงสูง
IT-as-a-ServiceRationalization • แบ่งกลุ่มบริการ
ทางด้านไอทีโดยมุ่ง
การต่อยอดบริการ
ใหม่ๆ ให้เร็วทีѷสุด
• ผลิตบริการได้เร็ว
และปลอดภัย
• การวางแผนทาง IT
ทําควบคู่ไปกับการ
วางแผนทางธุรกิจ
• เจ้าหน้าทีѷไอทีทํางาน
ได้เต็มประสิทธิภาพ
• ตัดกระบวนการทํางาน
ทีѷซํѸาซ ้อน
• ลดทรัพยากรทางไอที
ทีѷไม่จําเป็น
• ผลิตบริการด ้านไอทีได ้
เร็วขึѸน
• เพิѷมความปลอดภัยด ้าน
ไอที
• จัดกลุ่มกระบวนการ
ทํางาน และ
ทรัพยากรไอที
• มีมาตรฐานในการ
รับส่งข้อมูล
• ประหยัดค่าใช้จ่าย
ด้าน SW License
และ support
• ลดต้นทุนด้าน IT
project
time/costs/risks
PaaS
SaaS
IaaS
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Silo Standardization Optimization Modularity
97

98. Danairat T.
Enterprise Architecture Maturity Model
Security
SFAProduct LMS
Inv
MGMTB2B
product SCM product DBERP
MES-
Dev
SFA
SFA-
Test
SFA-
Stage
Product
Product
ERP-
Stage
ERP-
Prod
MES-
Stage
MES-
Prod
product
DB-
Stage B2B-
StageB2B-
Dev
Security Security Security
Pt. to Pt. Integrations
SFAProduct LMSInv
MGMT
product SCM product DBERP
MES-
DevProduct ERP-
Stage
product
DB-
Stage
• ต่างคนต่างทํา แล้ว
มาเชืѷอมกันทีหลัง
• ระบบงานกระจัด
กระจาย เชืѷอมต่อกัน
ขาดมาตรฐาน
• เปลีѷยนแปลงยาก
• ขยายระบบยาก
• ใช้เวลามากในการ
จัดการ และ
แก้ปัญหา
• มีความเสีѷยงสูง
IT-as-a-ServiceRationalization • แบ่งกลุ่มบริการ
ทางด้านไอทีโดยมุ่ง
การต่อยอดบริการ
ใหม่ๆ ให้เร็วทีѷสุด
• ผลิตบริการได้เร็ว
และปลอดภัย
• การวางแผนทาง IT
ทําควบคู่ไปกับการ
วางแผนทางธุรกิจ
• เจ้าหน้าทีѷไอทีทํางาน
ได้เต็มประสิทธิภาพ
• ตัดกระบวนการทํางาน
ทีѷซํѸาซ ้อน
• ลดทรัพยากรทางไอที
ทีѷไม่จําเป็น
• ผลิตบริการด ้านไอทีได ้
เร็วขึѸน
• เพิѷมความปลอดภัยด ้าน
ไอที
• จัดกลุ่มกระบวนการ
ทํางาน และ
ทรัพยากรไอที
• มีมาตรฐานในการ
รับส่งข้อมูล
• ประหยัดค่าใช้จ่าย
ด้าน SW License
และ support
• ลดต้นทุนด้าน IT
project
time/costs/risks
PaaS
SaaS
IaaS
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Silo Standardization Optimization Modularity
98

99. Danairat T.
Enterprise Architecture Maturity – Details
• Local IT silos
• Peak load sized
• Difficult to scale
• Difficult to change
• Expensive to
manage
• Complexity driven
risk
IT-as-a-ServiceRationalization
• Pools of resources
• Consolidated
• Better productivity
• Higher QoS
• Improved IT agility
• Improved security and
management
• Rapid provisioning
• Lower costs
• IT as a “Business”
• Faster project
turnaround
• Greater focus on
business
PaaS
SaaS
IaaS
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY G
NTS
TRDS
Client
Customs
RRE
IPS Integrated A/C Refunds
RBA
Def
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff
Remote
Staff
TAX
AGENTS
GCI
Call Centres
WOC
CCD
TASS
Staff
Phone
Compliance
Staff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCC
CWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Security
SFAProduct LMS
Inv
MGMTB2B
product SCM product DBERP
MES-
Dev
SFA
SFA-
Test
SFA-
Stage
Product
Product
ERP-
Stage
ERP-
Prod
MES-
Stage
MES-
Prod
product
DB-
Stage B2B-
StageB2B-
Dev
Security Security Security
Pt. to Pt. Integrations
SFAProduct LMSInv
MGMT
product SCM product DBERP
MES-
DevProduct ERP-
Stage
product
DB-
Stage
• Standardized
interfaces/systems
• Lower license and
support costs
• Increased utilization of
IT skills
• Reduced IT project
time/costs/risks
Silo Standardization Optimization Modularity
99

100. Danairat T.
Enterprise Architecture Maturity Model
Center for Information Center Systems Research (CISR)
2009 MIT Sloan CISR – Ross
Source: Enterprise Architecture as Strategy: Creating a Foundation for Business Execution, J.
Ross, P. Weill, D. Robertson, HBS Press, 2006
100

101. Danairat T.
Enterprise Architecture Maturity Model
ITArchitecture
EnterpriseArchitecture
Center for Information Center Systems Research (CISR)
2009 MIT Sloan CISR – Ross
Source: Enterprise Architecture as Strategy: Creating a Foundation for Business Execution, J.
Ross, P. Weill, D. Robertson, HBS Press, 2006
101

102. Danairat T.
Enterprise Architecture Maturity Model
ITArchitecture
EnterpriseArchitecture
Current
State
Future
State
Center for Information Center Systems Research (CISR)
2009 MIT Sloan CISR – Ross
Source: Enterprise Architecture as Strategy: Creating a Foundation for Business Execution, J.
Ross, P. Weill, D. Robertson, HBS Press, 2006
102

103. Danairat T.
Building Enterprise Architecture
103

104. Danairat T.
There are many of related standards/guidelines
CMMi
Six
Sigma ISO
9000
Score-
cards
Abstraction
ITRelevance
HolisticSpecific
Low High
CobiT
ISO
38500
ITIL
ISO 20000
ISO 27001
27002
(17799)
SOX
COSO
Basel III
TOGAF,
MIT Sloan,
ISO 42010
104

105. Danairat T.
Digital Transformation Reference Model
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
105

106. Danairat T.
Building Enterprise Architecture
The Digital Transformation Guideline
1. Select program or project to start (NOT high risk)
supported by C-Level
2. Establish Virtual Team maintain standard
architecture development method
3. Acquire and Maintain Knowledge of Enterprise
Architecture Development with change and feed
back communication system
4. Create architecture reference based on current
deployments
5. Develop new architecture layered model from
current deployment with business alignment and
operation life cycle consideration
6. Replicate to new program or project development
106

107. Danairat T.
Architecture Principles
No. Name Statement
1 Primacy of Principles These principles of information management apply to all organizations within the enterprise.
2
Maximize Benefit to the
Enterprise Information management decisions are made to provide maximum benefit to the enterprise as a whole.
3
Information
Management is
Everybody's Business All organizations in the enterprise participate in information management decisions needed to accomplish business objectives.
4 Business Continuity Enterprise operations are maintained in spite of system interruptions.
5
Common Use
Applications
Development of applications used across the enterprise is preferred over the development of similar or duplicative applications
which are only provided to a particular organization.
6 Compliance with Law Enterprise information management processes comply with all relevant laws, policies, and regulations.
7 IT Responsibility
The IT organization is responsible for owning and implementing IT processes and infrastructure that enable solutions to meet user-
defined requirements for functionality, service levels, cost, and delivery timing.
8
Protection of
Intellectual Property
The enterprise's Intellectual Property (IP) must be protected. This protection must be reflected in the IT architecture,
implementation, and governance processes.
9 Data is an Asset Data is an asset that has value to the enterprise and is managed accordingly.
10 Data is Shared
Users have access to the data necessary to perform their duties; therefore, data is shared across enterprise functions and
organizations.
11 Data is Accessible Data is accessible for users to perform their functions.
12 Data Trustee Each data element has a trustee accountable for data quality.
13
Common Vocabulary
and Data Definitions Data is defined consistently throughout the enterprise, and the definitions are understandable and available to all users.
14 Data Security
Data is protected from unauthorized use and disclosure. In addition to the traditional aspects of national security classification, this
includes, but is not limited to, protection of pre-decisional, sensitive, source selection-sensitive, and proprietary information.
15
Technology
Independence Applications are independent of specific technology choices and therefore can operate on a variety of technology platforms.
16 Ease-of-Use Applications are easy to use. The underlying technology is transparent to users, so they can concentrate on tasks at hand.
17
Requirements-Based
Change Only in response to business needs are changes to applications and technology made.
18
Responsive Change
Management Changes to the enterprise information environment are implemented in a timely manner.
19
Control Technical
Diversity
Technological diversity is controlled to minimize the non-trivial cost of maintaining expertise in and connectivity between multiple
processing environments.
20 Interoperability Software and hardware should conform to defined standards that promote interoperability for data, applications, and technology.
107

108. Danairat T.
Zachman Framework
• Zachman developed a
structure or framework for
defining and capturing an
architecture
• This framework provides
for 6 perspectives or
“windows” from which to
view the enterprise.
108

109. Danairat T.
TOGAF Architecture Development Method
The ADM method consists of eight main phases. As preliminary work, the enterprise
architecture framework and architecture principles are fixed for the effort. In the
following, a short description of the phases.
A. Architecture vision is the analysis phase of EA project. The project is organized;
the scope and domain requirements and constraints are stated. Business scenarios
can be used for this.
B. In the Business architecture phase, the current baseline architecture is stated,
target architecture is designed and a gap analysis between the two takes place.
C. Information systems architecture consists of the parts Data and Applications. For
Data architecture, the types and sources of data needed in the enterprise are
defined and a data model is created. A gap analysis is conducted and data model is
compared with the business architecture. As to the applications, the applications
needed to meet the specified business requirements and data model are turned into
an applications architecture and are checked back with the business architecture.
D. For Technology architecture, the previous phases deliver inputs. In this phase, a
baseline architecture is stated, and the target technology architecture is designed.
E. Opportunities and solutions is the evaluation phase, where the solutions are
selected.
F. Migration planning is the point for checking dependencies in the environment and
preparing for implementation of the target architecture.
G. Implementation and Governance is about the administration of implementation
and deployment phase of the development project.
H. Architecture change management is the maintenance phase. A new baseline is
created and changes in business environment are monitored as well as new
technology opportunities.
www.opengroup.org
109

110. Danairat T.
Business Architecture & IT Architecture
Architecture
Business
Architecture
Application ArchitectureApplication Architecture
Data ArchitectureData Architecture
Technology ArchitectureTechnology Architecture
Enterprise
Architecture
IT
Architecture
Business
Architecture
Opportunities Management, Change Management,
Governance, Maturity, Continuum
110

111. Danairat T.
The Enterprise Reference Model
Core Services
111

112. Danairat T.
The Enterprise Reference Model
Core Services
Enterprise Information Management
112

113. Danairat T.
The Enterprise Reference Model
Regulatory
Compliance
Corporate
Admin.Core Services
Enterprise Information Management
113

114. Danairat T.
The Enterprise Reference Model
Insight
and
Monitoring
Sales and
Marketing
Or
Citizen
Relationship
Management
Regulatory
Compliance
Corporate
Admin.Core Services
Enterprise Information Management
114

115. Danairat T.
The Enterprise Reference Model
Insight
and
Monitoring
Sales and
Marketing
Or
Citizen
Relationship
Management
Regulatory
Compliance
Corporate
Admin.Core Services
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
Enterprise Infrastructure
Enterprise Information Management
115

116. Danairat T.
The Enterprise Reference Model
Insight
and
Monitoring
Sales and
Marketing
Or
Citizen
Relationship
Management
Regulatory
Compliance
Corporate
Admin.
Core Services
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
Enterprise Infrastructure
Enterprise Information Management
Access Channels
Integration and
Channel Systems
116

117. Danairat T.
The Enterprise Reference Model
Customer Data Product Data Payment Data Accounting Org. Hierarchy
Enterprise Information Management
Insight
and
Monitoring
-Benchmarking
-Performance
Ranking
Sales and
Marketing
Or
Citizen
Relationship
Management
-Innovation
-Sales
-Trading
Regulatory
Compliance
- Audit
- ISO
- Law
- Policy
Corporate
Admin.
- HR
- Procurement
- Accounting
- Finance
- Facility
- Organization
Development
Core Services
- The Service Systems to deliver
core business values
Access Channels
- Kiosk, Web, Tablet, Mobile, Social Network, etc.
Integration and
Channel Systems
- Gateway System, Proxy Service, Clearing House
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
Enterprise Infrastructure
117

118. Danairat T.
The Enterprise Reference Model
Customer Data Product Data Payment Data Accounting Org. Hierarchy
Enterprise Information Management
Data Centric
Process Centric
User Centric
Enterprise Infrastructure
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
H/W, Storage, OS, Database, AppServer Platform
Decision Centric
Insight
and
Monitoring
-Benchmarking
-Performance
Ranking
Sales and
Marketing
Or
Citizen
Relationship
Management
-Innovation
-Sales
-Trading
Regulatory
Compliance
- Audit
- ISO
- Law
- Policy
Corporate
Admin.
- HR
- Procurement
- Accounting
- Finance
- Facility
- Organization
Development
Core Services
- The Service Systems to deliver
core business values
Access Channels
- Kiosk, Web, Tablet, Mobile, Social Network, etc.
Integration and
Channel Systems
- Gateway System, Proxy Service, Clearing House
118

119. Danairat T.
The Enterprise Reference Model
with TOGAF
Citizen Data Service Data Operating Data Accounting Org. Hierarchy
Enterprise Information Management
Insight
and
Monitoring
Sales and
Marketing
Or
Citizen
Relationship
Regulatory
Compliance
Corporate
Admin.
Core Services
Business
Architecture
Application
Architecture
Technology
Architecture
Data
Arch.
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
Enterprise Infrastructure
119

120. Danairat T.
The Enterprise Reference Model
with Zachman
Citizen Data Service Data Operating Data Accounting Org. Hierarchy
Enterprise Information Management
Insight
and
Monitoring
Sales and
Marketing
Or
Citizen
Relationship
Regulatory
Compliance
Corporate
Admin.
Core Services
WhenWhyHowWhat
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
Enterprise Infrastructure
120

121. Danairat T.
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
Enterprise Infrastructure
The Enterprise Reference Model
with Balanced Score Card
Citizen Data Service Data Operating Data Accounting Org. Hierarchy
Enterprise Information Management
Insight
and
Monitoring
Sales and
Marketing
Or
Citizen
Relationship
Regulatory
Compliance
Corporate
Admin.
Core Services
Learning & Growth/ SustainInternal ProcessCustomerFinancial
121

122. Danairat T.
The Enterprise Reference Model
Three Pillars of Organization and Technology Platform
Customer Data Product Data Payment Data Accounting Org. Hierarchy
Enterprise Information Management
Data Centric
Process Centric
User Centric
Enterprise Infrastructure
System
Monitoring
and
Management
Security/
Auditing
and
Identity
ManagementH/W, Storage, OS, Database, AppServer Platform
Decision Centric
Insight
and
Monitoring
Sales and
Marketing
Regulatory
Compliance
Corporate
Admin.
Core Services
Access Channels
Integration and
Channel Systems
Revenue Cost Risk
Technology Platform for Consolidation
122

123. Danairat T.
FEA 2.0, www.whitehouse.gov/omb/fea
123

124. Danairat T.
FEA 2.0, www.whitehouse.gov/omb/fea
124

125. Danairat T.
The Enterprise Reference Model
Mapping with Federal Enterprise Architecture
125

126. Danairat T.
Enterprise Reference Model (ERM)
Insight
and
Monitoring
Sales and
Marketing
Or
Citizen
Relationship
Management
Regulatory
Compliance
Corporate
Admin.
Core Services
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
Enterprise Infrastructure
Enterprise Information Management
1. ช่วยทําให ้การมอง IT จาก
ภาพของธุรกิจ
2. ช่วยทําให ้มองเห็นบริการ
และกระบวนการทํางานทาง
ธุรกิจได ้อย่างครอบคลุมและ
เป็นระบบ
3. ช่วยทําให ้มองเห็นความ
สอดคล ้องระหว่าง Business
กับ IT ได ้ในระดับ Strategic
View
4. เป็นจุดเริѷมต ้นของการทํา
รายละเอียดในระยะต่อไป
ERM ช่วยทําให ้การมองภาพความสอดคล ้องระหว่าง Business และ IT ในระดับ
High Level เพืѷอ:-
126

127. Danairat T.
Government Reference Model
Citizen Data, Services Data, Condition Data, Policy Data, Open Data, Law, Gov. Staffs
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
Enterprise Infrastructure
127

128. Danairat T.
Banking Reference Model
Agile, Secure and Standard Platform
Business Insight
and Monitoring
Sales and
Marketing
Executive
Analytics
Profitability
Analytics
HR
Analytics
Customer
Analytics
Channel
Analytics
Marketing
Analytics
Marketing
Selling
Originating
Servicing
Business Activity
Monitoring
Business Process
Analytics
Enterprise 2.0
Dashboard
Regulatory
Compliance
Corporate
Administration
Access Control
Segregation of
Duties
Regulatory
Reporting
ALM / SOX
BASEL II / IAS 39
Operational RiskEnterprise GL
Human Capital
Mgmt.
Budgeting
Procurement
Fixed Asset
Incentive
Compensation
Profitability
Management
Consolidation
Projects
Real Estate
Information Security
Data Consolidation
Compliance
Auditing
Credit Risk
Retail Bank
Customer Experience
Commercial Bank
Customer Experience
Private Bank
Customer Experience
Access Channels
Leasing
Branch Internet Mobile ATM, Kiosk
Payment
Loans
Deposits
Teller
Internet
Banking
CallCenter
EBPP
Team
Selling
Internet
Banking
Order
Mgmt
Client
Servicing
CRM
Lead
Mgmt
CallCenter
Financial
Planning
Trade Finance
Cash Mgmt
Loans
Deposits
Fees & Commissions
Compliance & Limits
Balance & Positions
Performance Mgmt
Etc. Etc. Etc.
Customer Data Product Data Payment Accounting Org. Data
Enterprise Information Management
External
Interfaces
Others
Credit Rating
SWIFT
Market Feeds
Check Order
System
Monitoring and
Management
Security/Auditing
and Identity
Management
Storage, Network Infrastructure
Server Platform, New Application Development Framework
Data Lake, Big Data
Business Process Technology
Web Scale UI, Mobile Access
Identity Gov.
Data Gov.
Process Gov.
Monitoring
Sentimental
Service Level
Management
Network Sec
Cloud
Management
Enterprise Infrastructure
128

129. Danairat T.
The BIAN Service Landscape v4.0
129

130. Danairat T.
The Enterprise Reference Model
Mapped BAIN Service Landscape 4.0
Insight
and
Monitoring
Sales and
Marketing
Or
Citizen
Relationship
Management
Regulatory
Compliance
Corporate
Admin.Core Systems
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
Enterprise Infrastructure
Enterprise Information Management
130

131. Danairat T.
Sample Enterprise Reference Model
131

132. Danairat T.
Sample Enterprise Reference Model
132

133. Danairat T.
Sample Enterprise Reference Model
133

134. Danairat T.
Group Workshop - The Current State
Enterprise Reference Model
Enterprise Reference Model
Write down your
existing enterprise architecture
foot print
Team Name: xxx
1. Name, Company, E-mail
2. Name, Company, E-mail
3. Name, Company, E-mail
4. Name, Company, E-mail
บริการ
ผลการ
ดําเนินงาน
บริการ
งาน
ส่งเสริม
บริการ
งาน
คุณภาพ
และ
กฎระเบียบ
บริการ
งาน
สนับสนุน
บริการหลัก
เทคโนโลยี
ติดตาม
สถานะ
ระบบรักษา
ความปลอดภัย
โครงสร้างสถาปัตยกรรมด้านเทคโนโลยี
ข้อมูลหลัก
134

135. Danairat T.
Group Workshop - The Current State Enterprise Reference Model
บริการ
รายงานผลการ
ดําเนินงาน
บริการ
งาน นวัตกรรม
ส่งเสริม
ประชาสัมพันธ์
บริการ
งาน คุณภาพ
และ กฎระเบียบ
บริการ
งาน
สนับสนุน
บริการหลัก
เทคโนโลยี
ติดตาม
สถานะ
ระบบรักษา
ความปลอดภัยโครงสร้างสถาปัตยกรรมด้านเทคโนโลยี
ข้อมูลหลัก
135

136. Danairat T.
แบบการปรับปรุงบริการในหน่วยงาน
ชืѷอบริการ: เป้ าประสงค์:
หน่วยงานทีѷรับผิดชอบ:
Version: Date/Time:
จุดติดตามขัҟนตอนการทํางาน, สารสนเทศ
ประเด็นติดค้างด้าน
กระบวนการทํางาน:
ประเด็นติดค้างด้าน
เทคโนโลยี :
1. ___________, __________
2. ___________, __________
3. ___________, __________
4. ___________, __________
1. ___________
2. ___________
3. ___________
4. ___________
หน่วยงานทีѷ 1 F1_P01 F1_P02 F1_P03
F2_P01 F2_P02 F2_P03
F3_P01 F3_P02
1
2
3
4หน่วยงานทีѷ 2
หน่วยงานทีѷ 3
ใหม่
ปรับปรุง
ยกเลิก
136

137. Danairat T.
Business Service Analysis Worksheet
Service Name: Key Objectives:
Service Owner:
Version: Date/Time:
Business Check Points, Information
Key Business Issues: Key Technology Issues:
1. ___________, __________
2. ___________, __________
3. ___________, __________
4. ___________, __________
5. ___________, __________
1. ___________
2. ___________
3. ___________
4. ___________
Business
Function1
Business
Function2
Business
Function3
F1_P01 F1_P02 F1_P03
F2_P01 F2_P02 F2_P03
F3_P01 F3_P02
1
2
3
4
5
137

138. Danairat T.
Group Workshop - The Current State
Enterprise Reference Model
Enterprise Reference Model
Business
Insight
and
Monitoring
Sales and
Marketing
Regulatory
Compliance
Corporate
Admin.Core Services
System
Monitoring
and
Management
Security/
Auditing
and
Identity
Management
Enterprise Infrastructure
Master Data
Access Channels
Write down your
existing enterprise architecture
foot print
Team Name: xxx
1. Name, Company, E-mail
2. Name, Company, E-mail
3. Name, Company, E-mail
4. Name, Company, E-mail
138

139. Danairat T.
Enterprise Repository
Owner: Business Units
139

140. Danairat T.
Owner: Technology Unit
Owner: Business Unit with supported by Technology Unit
Enterprise Repository
140

141. Danairat T.
Enterprise Repository
Owner: Technology Units
• #
• Applications / Touch Points / Database / Data
Store Name
• Total Connections
• Concurrent Connections
• Required Response Time (sec.)
• Actual Response Time (sec.)
• Development Software Languages /
Framework (for App)
• Package / In-House (for App)
• Private / Public / Hybrid Cloud
• OS / Platform (Windows, Linux, Docker, etc.)
• Monitoring Tool Name
• Sign On / Security System Name
• % growth / year
• Initial Cost(Baht)
• M.A. Cost /year (Baht)
• Remarks
141

142. Danairat T.
Group Workshop - Enterprise Reference Model
The Future State
Enterprise Reference Model
Team Name: xxx
1. Name, Company, E-mail
2. Name, Company, E-mail
3. Name, Company, E-mail
4. Name, Company, E-mail
15 mins.
presentation
New
Changed
Retired
Unchanged
บริการ
ผลการ
ดําเนินงาน
บริการ
งาน
ส่งเสริม
บริการ
งาน
คุณภาพ
และ
กฎระเบียบ
บริการ
งาน
สนับสนุน
บริการหลัก
เทคโนโลยี
ติดตาม
สถานะ
ระบบรักษา
ความปลอดภัย
โครงสร้างสถาปัตยกรรมด้านเทคโนโลยี
ข้อมูลหลัก
142

143. Danairat T.
Key Deliverables from Enterprise Architecture
Deliverables Description
1. EA Reference Model Describe the dependency between business and IT
2. EA Repository Enterprise assets inventory with the components
relationships for change impact analysis
3. IT Configuration Model for
better problem solving
Diagrams and artifacts for the system problem solving
with traceability
4. Business Transitioning
Roadmap
The transitioning phase for EA capability improvement
5. EA Governance framework Sustainable framework for digital business growth
143

144. Danairat T.
Digital Organization Chart
CEO
Innovation
Chief of Digital
Strategy
Customer Care
Service Science
Key
Performance
Innovation
Digital
Marketing
Operation
Operation BU1
Operation BU2
Operation BU3
Operation BU4
Operation BU5
Corporate
Management
CFO
PMO
Budgeting
HR
HCM
HRM
CIO
IT Architecture
and Security
Shared
Services
DevOps
Team
Enterprise
Architecture
Business
Architecture
Application
Architecture
Data
Architecture
Technology
Architecture
Security
Architecture
Risk
Management
Chief
Governance
Regulation and
Compliance
Steering
committee
144

145. Danairat T.
Enterprise Architecture
Governance
145

146. Danairat T.
Enterprise Architecture Governance Process
Business
Architecture
Information
System
Architecture
Technology
Architecture
EA Roadmap and
Project Portfolio
Management
IT Development,
Operation &
Change Mgmt.
Business Goals
Planning
(Business and
EA)
Create Business
Initiatives
(Business and
EA)
Create Business
Process
(Business and
EA)
Create Application
Architecture
(Business, Dev
Team and EA)
Create Data
Architecture
(Business,
Information Mgmt.
Team and EA)
Define Development
Technology (Dev
Team and EA)
Define Monitoring and
Management
Technology
(Operation Team
and EA)
Define Security
Technology
(Security Team
and EA)
Define Integration
Technology
(Integration Team
and EA)
Create EA Roadmap
(EA)
Define Projects and
Business Cases
(Planning Team
and EA)
Create IT Solution
Architecture (Dev
Team and EA)
IT Solution Building
(Dev Team)
IT Solution Deployment
and Operation Change
Control
(Operation Team and
EA)
Define IT Operation
Maintenance
(Operation Team)
Red Color is EA main involve process
146

147. Danairat T.
Business Goals Planning and Business Initiatives
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Create Business Goals A/R R C I I I I
Business Operation
Model/ Business and IT
Capability
A/R R C C C I I
Business Objectives
A/R R C I I I I
Create Business
Initiatives
C A/R C C C I I
Responsible, Accountable, Consulted, Informed
147

148. Danairat T.
Create Business Processes
Activities and
Deliverables
Business
Executives
Business
Process/
Developme
nt Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Development
Head of IT
Operation
Develop Baseline
Business Process
Description
C A/R C I I I I
Develop Target
Business Process
Description
C A/R C I I I I
Perform Gap Analysis
C A/R C I I I I
Provide requirements
to the Data,
Application, and
Technology
Architectures
C A/R C C C I I
Finalize the Business
Process
C A/R C I I I I
Responsible, Accountable, Consulted, Informed
148

149. Danairat T.
Create Application Architecture
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Application Architecture
Strategy (Consolidate, Plug
and Play Strategy)
I R C C C A/R C
Create Application
Portfolio Baseline
(Application Landscape)
I R C C R A/R R
Business Processes and
Application
Dependencies
I A/R I I I R I
Relationship to Application
Capability Increments
Transitioning
I R C C C A/R C
Responsible, Accountable, Consulted, Informed
149

150. Danairat T.
Create Data Architecture
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Data Architecture Strategy
(Consolidate, Information as
a Service)
A R C C C R C
Create Enterprise Data
Platform (Data Landscape)
A R C C C R R
Application and Data
Dependencies
I R I I I A/R
(IT Data Management
Team)
C
Relationship to Data
Capability Increments
Transitioning
I R C C C A/R
(IT Data Management
Team)
C
Responsible, Accountable, Consulted, Informed
150

151. Danairat T.
Define Development Technology
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Create Standard
Development Technology
(Open, Unify Tool Set)
I I C C C A/R R
Create Standard User
Interaction Development
Technology
I I C C C A/R R
Create Standard Business
Process Management
Development Technology
I I C C C A/R R
Create Standard Application
Server and Database
Technology
I I C C C A/R R
Responsible, Accountable, Consulted, Informed
151

152. Danairat T.
Define Monitoring and Management Technology
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Create Standard Monitoring
and Management
Technology
I I C C C R A/R
Create Standard Network/
Operating System
Monitoring and
Management Technology
I I C C C R A/R
Create Standard Database
and Application Server
Monitoring and
Management Technology
I I C C C R A/R
Create Standard
Application Monitoring
and Management
Technology
I I C C C R A/R
Responsible, Accountable, Consulted, Informed
152

153. Danairat T.
Define Security Technology
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Create Standard Security
Technology
I I C C C R A/R
Create Standard Network/
Operating System Security
Technology
I I C C C R A/R
Create Standard Database
and Application Server
Security Technology
I I C C C R A/R
Create Standard
Application Security
Technology
I I C C C R A/R
Responsible, Accountable, Consulted, Informed
153

154. Danairat T.
Define Integration Technology
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Create Standard Integration
Technology
I I C C C R A/R
Create Standard Business
Transaction Integration
Technology
I I C C C R A/R
Create Standard Batch
Integration Technology
I I C C C R A/R
Create Standard External
Integration Technology
I I C C C R A/R
Responsible, Accountable, Consulted, Informed
154

155. Danairat T.
Create EA Roadmap
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Business and IT
Dependencies
I I C A/R C R R
Relationship to
capability increments
transitioning
C I C A/R C C C
Relationship to
opportunity
C I C A/R C C C
Responsible, Accountable, Consulted, Informed
155

156. Danairat T.
Define Projects and Create Business Cases
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Identify IT Projects I C A C R R R
Provide Business Cases
and Business Value
I C A C R R R
Provide Business Value
Measurements
C A/R C C C I I
Identify Risks and Issue
C A/R C R R I I
Provide Migration
Strategy
C A/R C C C C R
Responsible, Accountable, Consulted, Informed
156

157. Danairat T.
Create IT Solution Architecture (ABB, SBB)
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Architecture Building Block
(ABB)
I I C A/R I I I
Solution Building Block
(SBB)
I I C C R A/R R
Monitoring and
Management Architecture
I I C C C C A/R
Security Architecture
I C C C A/R R R
Responsible, Accountable, Consulted, Informed
157

158. Danairat T.
IT Solution Deployment and Operational Change Control
Activities and
Deliverables
Business
Executives
Business
Process/De
velopment
Owner
CIO Enterprise
Architect
IT Audit and
Control
Head of IT
Developmen
t
Head of IT
Operation
Develop Solution Change
Deployment Description
and Instruction
I I I I C A/R R
Review and Approve The
Changed Solution for Data
Center
I I A R R C C
Perform Solution
Deployment to Data
Center
I I I I C R A/R
Rollback Solution
Deployment from Data
Center
I I I I C R A/R
Responsible, Accountable, Consulted, Informed
158

159. Danairat T.
Part 3
159

160. Danairat T.
Business Intelligence and Business
Analytics
อ.ดนัยรัฐ ธนบดีธรรมจารี
Line ID: Danairat
FB: Danairat Thanabodithammachari
+668-1559-1446
• Understand Enterprise Analytics Needed
• Traditional Business Intelligence
• Big Data for Business Analytics
• Group Activities
160

161. Danairat T.
Agenda
• What is Business Intelligence (BI)?
• What is Business Analytics (BA)?
• Business Analytics and Business Intelligence
• Choosing between BI and BA
• Choose the Right Presentation Chart Types
• Understand Enterprise Analytics Needed
1. (Re)Identifying your vision and missions
2. Identifying Business Services and Objectives
3. Identifying BI for Management Level
• Top Business Questions from CMO
• Top Business Questions from COO
• Top Business Questions from CFO
161

162. Danairat T.
Agenda
4. Identifying Operational BI
5. Identifying BI and BA Platform
• Traditional DW and BI Platform
• Big Data for Business Analytics Platform
Big Data People and Team Structure
Big Data Project Life Cycle
• Business Analytics vs. Business Intelligence Activities
Worksheet
• Summary
162

163. Danairat T.
What is Business Intelligence (BI)?
Business intelligence systems are used to maintain, optimize and streamline
current operations. BI improves and maintains operational efficiency and helps
businesses increase organizational productivity. Business intelligence software
confers many benefits, notably powerful reporting and data analysis
capabilities. Using BI’s rich visualization mechanisms, managers are able to
generate intuitive, readable reports that contain relevant, actionable data.
Popular business intelligence solutions include; SAP BusinessObjects, QlikView, IBM Cognos, Microstrategy, etc.
https://selecthub.com/business-intelligence/business-intelligence-vs-business-analytics/
163

164. Danairat T.
What is Business Analytics (BA)?
Like business intelligence, BA collects and analyzes data, employs predictive
analytics and generates richly visualized reports, helping identify and address an
organization’s weak points. That’s where similarities end. Business analytics
software is used to explore and analyze historical and current data. It utilizes
statistical analysis, data mining and quantitative analysis to identify past business
trends.
Popular business analytics solutions include; SAP Business Analytics Suite, Pentaho BA, Birst BI and Tableau BIg Data Analytics.
https://selecthub.com/business-intelligence/business-intelligence-vs-business-analytics/
164

165. Danairat T.
Business Analytics and Business Intelligence
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
StatementsBusiness
Analytics
BI
• What will happen?
• What if and Why did it happen?
• Predictive Modeling
• Simulation/Optimization
• Advanced Statistic Models
• Data Mining (Text, Multimedia)
• Data Science
• Who did that task?
• What happened?
• Dashboards, Alerts
• Scorecards Monitoring
• Slice & Dice, Drilling
• Reports
• DWH
• Data Lake
Danairat T. 165

166. Danairat T.
Choosing between Business Intelligence (BI)
and Business Analytics (BA)
While superficially similar, the difference between business intelligence vs business
analytics is clear:
- BI uses past and current data to optimize the present for current success.
- BA uses the past and analyzes the present to prepare businesses for the future.
Choosing the solution for your business depends on your aims.
- If you are satisfied with your business model as a whole and mainly wish to improve
operations, increase efficiency and meet organizational goals, business intelligence
may be an optimal solution.
- If you intend to change your business model and need to know where to start,
business analytics might be the best option.
https://selecthub.com/business-intelligence/business-intelligence-vs-business-analytics/
166

167. Danairat T.
Choosing between Business Intelligence (BI)
and Business Analytics (BA)
Business Intelligence (BI)
BI has the added advantages of targeting a business’s weak areas and providing
actionable solutions to those problems. Business Intelligence software is an excellent
solution for managers who want to improve decision making and understand their
organization’s productivity, work processes and employees. And, with that
understanding, improve their business from the ground up.
Business Analytics (BA)
If your organization is a new entity, or in the midst of significant changes, business
analytics software is a serious contender. BA uses historical data, current information,
and projected trends to ensure your business makes the right changes. Business
analytics is the solution if you want to analyze your company, your market, and your
industry with the dual goals of optimizing current performance and predicting
business trends to help you remain competitive in the future.
Most businesses want a combination of current success and future preparation. Alone or together, business analytics and
business intelligence can help you take your business where you want it to go.
https://selecthub.com/business-intelligence/business-intelligence-vs-business-analytics/
167

168. Danairat T.
Choose the Right Presentation Chart Types
http://img.labnol.org/di/data-chart-type.png
168

169. Danairat T.
Understand Enterprise Analytics
Needed Using Digital Transformation
Reference Model
169

170. Danairat T.
Digital Transformation Reference Model
“Innovation”
“Efficiency”
“Sustainability”
Vision,
Mission
Statements
Big Data
Digital
SecurityCloud
Key Technologies for Digital Transformation
170

171. Danairat T.
Digital Transformation Reference Model
“Innovation”
“Efficiency”
“Sustainability”
Vision,
Mission
Statements
Analytics
Initiatives?
Big Data
Digital
SecurityCloud
171

172. Danairat T.
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Vision,
Mission
Statements
1. (Re)Identifying your vision and missions
Strategic and Top Decision Making:-
- Political and Policy Reports
- Economic Reports
- Customer Analytic Trends
- Technology Trends
- Economic Value
172

173. Danairat T.
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Vision,
Mission
Statements
2. Identifying Business Services and Objectives
Business Services/Objectives:-
- Social Listening Analytics
- Customer Experiences / UX
- Discover Unmanned Customers
- Demographic Analytics
- Voice of Customers
- Objectives/Measurements
Results
173

174. Danairat T.
Driving Data to Business Values
Data Inputs:-
• Business Activities
• Conversations
• Web Logs
• Social Media
• Words
• Picture
• Voice
• Videos
• Sensors
• Etc.
Business Values:-
• Pricing analytics
• Text Analytics
• Sentiment Analysis
• Relationship Analysis
• Contextual Analysis
• Face Analysis
• Voice Recognition
• Behavioral Analysis
• Fraud analytics
• Etc.
174

175. Danairat T.
3. Identifying BI for Management Level
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Digital Organization
Vision,
Mission
StatementsManagement BI:-
• Promotion Impact Report
• Channel Productivity
• Operational Efficiency
• Profit and Loss Report
• Compliance Reports
• Internal Policy Adoption
175

176. Danairat T.
Digital Organization
• CEO : combine all successes from all C-Level
• CMO: innovation for new products offering
• COO : operation and automation
• CFO : finance, budgeting, HR, Audit, QA and IT
• Put the right skill on the right role
• Promote paperless policy organization
CEO
CFOCOOCMO
176

177. Danairat T.
Top Business Questions from CMO
CMO
Chief Marketing Officer (CMO), Innovation, Sales and Promotion:-
• Which customers should we target?
• What has caused the change in my pipeline?
• Which are my most profitable campaigns/region?
• Did store sales spike when we advertised in the local paper or
launched the campaign?
• What is the most profitable sales channel and how has that
changed over time?
177

178. Danairat T.
Top Business Questions from COO
COO
Chief Operation Officer (COO):-
• Lead time and cost of production for each products
• Which order processing processes are most inefficient?
• Which vendors are best at delivering on time and on
budget?–
• How many additional personnel do we need to add per
branch?
• Percent of error or defect trend for each product
178

179. Danairat T.
Top Business Questions from CFO
CFO
Chief Financial Officer (CFO):-
• What is the fully loaded cost of new products
deployment?
• What are the current trends in cash flow, accounts
payable and accounts receivable and how do they
compare with plan?
• What is the expected annual profit/loss based on
current marketing and sales forecasts?
• How are forecasts trending against the annual plan?
179

180. Danairat T.
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
4. Identifying Operational BI
Operational BI:-
- Task Tracking Status
- Alerts on Progression
- Error correction and
recommendation
180

181. Danairat T.
BI and Alerts for Operational Level
• BI and alerts for customers need to be more flexible
• BI and alerts for production operation team need to be more automation
• BI and alerts for back office (HR, payroll, finance) need to be more
auditable
Digital Initiatives
Data Monetization
New Customers,
Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Business Process as a Service
More ControlMore Flexible
181

182. Danairat T.
Key Questions Type in each level of enterprise
Who
How
What
Why
When
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
182

183. Danairat T.
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
Statements
5. Identifying BI and BA Platform
BI &
Business
Analytics
Platforms :-
• Traditional BI
• Big Data
• Cloud
• Digital Security
183

184. Danairat T.
5.1 Traditional Data Warehouse
and Business Intelligence
Platform
184

185. Danairat T.
Traditional Data Warehousing and Business Intelligence
Metadata and Logical Data Model / APIs
Data Sources
Layer
Foundation Layer Access LayerStaging Layer Presentation Layer
Data Marts
Operation Level
Management Level
Executive Level
Data
warehouse
Staging DB/ODS
OLTP
OLAP
Data Mining
ETL ETL
Application 1
Application 2
DB or Files
Data Mart / Cube
DW Tools BI Tools
185

186. Danairat T.
Traditional Data Warehousing and Business Intelligence
Metadata and Logical Data Model / APIs
Data Sources
Layer
Foundation
Layer
Access LayerStaging Layer Presentation Layer
Data Marts
Operation Level
Management Level
Executive Level
Data
warehous
e
Staging DB/ODS
OLTP
OLAP
Data
Mining
ETL ETL
Application 1
Application 2
DB or Files
Data Mart / Cube
DW Tools BI Tools
1. Data Source Layer: defining
which data will be loaded into
the system and analyzed.
• Text Files
• OLTP, Databases
• XML
• JSON
• Spreadsheet Files
Source Dara Examples:-
- Retail POS system
- Web Site
- DBMS
186

187. Danairat T.
Traditional Data Warehousing and Business Intelligence
Metadata and Logical Data Model / APIs
Data Sources
Layer
Foundation
Layer
Access LayerStaging Layer Presentation Layer
Data Marts
Operation Level
Management Level
Executive Level
Data
warehous
e
Staging DB/ODS
OLTP
OLAP
Data
Mining
ETL ETL
Application 1
Application 2
DB or Files
Data Mart / Cube
DW Tools BI Tools
2. ETL (Extract, Transform, and Load)
and Staging Layer:
• Tools to move data to staging
DB
• Staging DB is a temporary
storage to be loaded to DWH
• Staging DB could be
operational reporting
tool/platform
187

188. Danairat T.
Traditional Data Warehousing and Business Intelligence
Metadata and Logical Data Model / APIs
Data Sources
Layer
Foundation
Layer
Access LayerStaging Layer Presentation Layer
Data Marts
Operation Level
Management Level
Executive Level
Data
warehous
e
Staging DB/ODS
OLTP
OLAP
Data
Mining
ETL ETL
Application 1
Application 2
DB or Files
Data Mart / Cube
DW Tools BI Tools
3. Data Warehouse:-
• Used for reporting
• A scalable DB storing historical
enterprise data
• Online Analytical Processing
• Not used for transaction
processing
188

189. Danairat T.
Traditional Data Warehousing and Business Intelligence
Metadata and Logical Data Model / APIs
Data Sources
Layer
Foundation
Layer
Access LayerStaging Layer Presentation Layer
Data Marts
Operation Level
Management Level
Executive Level
Data
warehous
e
Staging DB/ODS
OLTP
OLAP
Data
Mining
ETL ETL
Application 1
Application 2
DB or Files
Data Mart / Cube
DW Tools BI Tools
4. Access Layer:-
• Data Mart for business fast
query (Star Schema)
• OLAP uses a
multidimensional data
model, allowing for
complex analytical and ad-
hoc queries with a rapid
execution time
• Data mining for mostly in
structured data format
189

190. Danairat T.
Traditional Data Warehousing and Business Intelligence
Metadata and Logical Data Model / APIs
Data Sources
Layer
Foundation
Layer
Access LayerStaging Layer Presentation Layer
Data Marts
Operation Level
Management Level
Strategic Level
Data
warehous
e
Staging DB/ODS
OLTP
OLAP
Data
Mining
ETL ETL
Application 1
Application 2
DB or Files
Data Mart / Cube
DW Tools BI Tools
5. Presentation Layer:-
• Need to gather
requirements from
Business Units for
Visualization and Touch
points
• Need to identify data
sources and method to
deliver results
• Enterprise dashboards,
reports and alerts that
present findings from the
analysis
190

191. Danairat T.
5.2 Big Data for Business
Analytics Platform
191

192. Danairat T.
Big Data Architecture for Healthcare
Big Data InfrastructureBig Data Infrastructure
BI/Report EHR, EMR
Parallel Data Processing, Refinery
Ingestion and Acquisition
Distributed Data Store, Data Lake
Monitoring,
Resource
Management
and Metadata
Framework
Security and
Control
Framework
Predictive
Analytics
Descriptive/
Diagnose Analytics
Prescriptive
Analytics
Big Data Platform
Big Data Applications
Compute Storage, Network
Doctor Decision
System
Remote Patient
Mgmt.
Cyber
Security
192

193. Danairat T.
Big Data for Business Analytics Platform
Big Data InfrastructureBig Data Infrastructure
Next Best
Action
BI/Report
Parallel Data Processing, Refinery
Ingestion and Acquisition
Distributed Data Store, Data Lake
Monitoring,
Resource
Management
and Metadata
Framework
Security and
Control
Framework
Predictive
Analytics
Descriptive/
Diagnose Analytics
Prescriptive
Analytics
Big Data Platform
Big Data Applications
Compute Storage, Network
Fraud
Analysis
Cyber
Security
Talent
Search
Staffs Managers PartnersCustomers ExecutivesExperts
193

194. Danairat T.
Big Data System Architecture
Storage Server and Network Infrastructure
NoSQL with Maps DB
Application Server
Hadoop
HDFS, YARN, Spark, Storn, MRv2,
Hive, Mahout, Zookeeper, Mesos,
Etc.
App1
Executive
Reports
App2
Advanced
Analytics
SystemMonitoring
SystemSecurity
Physical Data Center
Access Channels
Staffs Partners ManagersCustomers Executives Experts
InfraPlatformAppsAccess
194

195. Danairat T.
Block Size =
64MB/128MB/256MB
Replication Factor = 3
HDFS: Hadoop Distributed File System
Cost/GB is a few
¢/month vs $/month
apache.org/hadoop/
195

196. Danairat T.
MapReduce: Distributed Processing
apache.org/hadoop/
196

197. Danairat T.
Descriptive/Diagnostic analytics
Descriptive/Diagnostic analytics answers the question, "What happened in the
business?" It looks at data and information to describe the current business
situation in a way that trends, patterns and exceptions become apparent. This
takes the form of reports, dashboards, MIS, etc.
mu-sigma.com
197

198. Danairat T.
Predictive analytics
Predictive analytics answers the question, "What is likely to happen in the
future?" Here data modeling and forecasting are used to determine future
possibilities
mu-sigma.com
198

199. Danairat T.
Prescriptive analytics
Prescriptive analytics is the combination of the above to provide answers to the
"So what?" and the "Now what?" For example, what should a business do to
retain key customers? How can businesses improve their supply chain to enhance
service levels while reducing costs?
mu-sigma.com
Action!
199

200. Danairat T.
Big Data Maturity Model
Business
Monitoring
Report
Business
Insights
Business
Optimization
All Transaction Logs
Monitoring and Summary
Integrate Social Data for
Better Insights
Real-time Data Feed:
IoT and Real-time
Operation Actions
200

201. Danairat T.
Big Data Maturity Model
Business
Monitoring
Report
Business
Insights
Business
Optimization
All Transaction Logs
Monitoring and Summary
Integrate Social Data for
Better Insights
Real-time Data Feed:
IoT and Real-time
Operation Actions
Business Monitoring Report
Mine all the transactional data at the
lowest levels of detail
201

202. Danairat T.
Big Data Maturity Model
Business
Monitoring
Report
Business
Insights
Business
Optimization
All Transaction Logs
Monitoring and Summary
Integrate Social Data for
Better Insights
Real-time Data Feed:
IoT and Real-time
Operation Actions
Business Monitoring Report
Mine all the transactional data at the
lowest levels of detail
Business Insights
Integrate unstructured data with
detailed structured (transactional) data
to provide new metrics and new
dimensions against which to monitor
and optimize key business processes.
202

203. Danairat T.
Big Data Maturity Model
Business
Monitoring
Report
Business
Insights
Business
Optimization
All Transaction Logs
Monitoring and Summary
Integrate Social Data for
Better Insights
Real-time Data Feed:
IoT and Real-time
Operation Actions
Business Monitoring Report
Mine all the transactional data at the
lowest levels of detail
Business Insights
Integrate unstructured data with
detailed structured (transactional) data
to provide new metrics and new
dimensions against which to monitor
and optimize key business processes.
Business Optimization
Leverage real-time (or low-latency)
data feeds to accelerate the
organization's ability to identify and act
upon business and market
opportunities in a timely manner.
203

204. Danairat T.
Big Data Maturity Model
Business
Monitoring
Report
Business
Insights
Business
Optimization
Data
Monetization
Business
Metamorphosis
All Transaction Logs
Monitoring and Summary
Integrate Social Data for
Better Insights
Real-time Data Feed:
IoT and Real-time
Operation Actions
Data as a Service:
Creating Revenue from
Data by Exchange or Trade
Artificial Intelligence for
Business Sustainability,
Value-Set, Passion:
Transforming Behavior,
Relationship, Culture ,
Ecosystem
204

205. Danairat T.
Big Data Maturity Model
Integrate predictive analytics into your key business processes to uncover insights
buried in the massive volumes of detailed structured and unstructured data. (Note:
having business users slice and dice the data to uncover insights worked fine when
dealing with gigabytes of data, but doesn't work when dealing with terabytes and
petabytes of data.)
205

206. Danairat T.
Big Data Maturity Model
Driving new business models, new processes, more meaningful business interactions,
innovation, improved and faster decision making, and a more agile organization
A digital ecosystem is a business community of organizations and individuals transacting
across a distributed, adaptive, open, social, technical system with collaboration,
transparency, constant evolution, self-organization, scalability and sustainability.
206

207. Danairat T.
Big Data People and Team Structure
Big Data Program
Committee
Project
Manager
Big Data
Architect
Data Scientist
Business
Analyst
DataData
Integration
Specialist
Developer
Big Data Evangelist
207

208. Danairat T.
Big Data Team Structure
No. Roles Description
1 Big Data
Program
Committee
The Team to develop Big Data initiative and deliver solution
results
2 Big Data
Evangelist
The business evangelist must have a combination of good
communication and presentation skills and deep contextual
business knowledge, as well as a clear understanding of
technology in general and big data techniques.
3 Project
Manager
The project manager “owns” the development schedule and is
expected to ensure that the right architects, designers, and
developers are brought into the project at the right times.
4 Big Data
Architect
The person who has background in parallel and distributed
computing architecture. This person is knowledgeable about
fundamental performance “gotchas” that will impede the
speed, scalability, and extensibility of any application requiring
massive data volumes.
208

209. Danairat T.
Big Data Team Structure
No. Roles Description
5 Data
Scientist
The data scientist combines knowledge of computer science,
the use of high-performance applications, and statistics,
economics, mathematics, and probabilistic analysis skills.
6 Business
Analyst
The person who engages with the business process owners and
solicits their needs and expectations. Business analysts
who are able to effectively translate business expectations into
specific data analysis results.
7 Data
Integration
Specialist
The person who has experience in data extraction,
transformation, loading, and data transformations in
preparation for cleansing and delivery to target systems. Seek
people with experience with data federation and virtualization,
data quality, and metadata analysis.
8 Application
Developer
The technical resources with the right set of skills for
programming and testing parallel and distributed applications.
209

210. Danairat T.
Big Data Project Life Cycle
Big Data
Planning
• Identify Targeted Users
• Identify Target Opportunities
/ Key Measurements
• Identify Data Sources/Types
• Identify Data Capturing
Approaches
• Identify Data Processing and
Visualization Planning
• Identify Big Data Platform
• Identify Security
• Identify Governance and
Change Control for Operation
• Identify Team Structure
• Identify Phasing, Budget and
Cost
Big Data
Development
• Develop Use Cases
• Develop Requirements
Definition
• Develop Big Data Solution
Framework
• Develop the Development
and Test Environment
• Develop Data Capture
• Develop Analytics
• Integrate Visualization
• Manage Assets and
Configurations
Operation and
Support
• Monitor Big Data Platform
Availability, Utilization and
Capacity Planning
• Manage Operation Tasks
(Admin. Scripts,
Commands), Data
Capturing System,
Upgrading or Patching
• Manage Service Requests
and Incidents
• System admin. Training
• Helpdesk Training
• End-User Training
(Analytic Results)
Evaluation
• Adoption Rates for each
analytics results
• No. of Missing Analytic
Results
• No. of Missing Data
• Lost hours per month
• Avg. of each Analytic Result
Response Time
• No. of Technology System
Failure per month
• Evaluate Activity
Conformance with Policies
210

211. Danairat T.
No. Phases Activities People Deliverables
1 Planning Identify Targeted Users Big Data Program Committee Big Data Discovery
Worksheet
2 Planning Identify Target Opportunities Big Data Program Committee Big Data Discovery
Worksheet
3 Planning Identify Team Structure Big Data Program Committee Team Organization Chart
4 Planning Identify Data Sources/Types Big Data Architect, Data Scientist,
Data Integration Specialist
Data Sources Types
Information
5 Planning Identify Data Capturing
Approaches
Data Integration Specialist, Data Scientist Data Capturing Information
6 Planning Identify Data Processing and
Visualization Planning
Business Analyst, Big Data Architect, Data
Scientist, Developer
Data Processing Framework
and User Interface
Summary
7 Planning Identify Big Data Platform Big Data Architect, Project Manager Big Data Platform Summary
8 Planning Identify Security Corporate Information Security, Big Data
Architect, Project Manager
Security Scope Summary
9 Planning Identify Governance and
Change Control for
Operation
Internal Control Team, Corporate
Information Security, Big Data Architect,
Project Manager
Governance, RACI, Change
Procedures Summary
10 Planning Identify Phasing Budget and
Cost
CIO, CFO, Project Manager, Business
Analyst
Project Investment
Summary
Key Activities, People and Deliverables
211

212. Danairat T.
No. Phases Activities People Deliverables
1 Development Develop Use Cases Business Users, Business Analyst, Big Data
Architect, Big Data Evangelist
Use Cases Summary
2 Development Develop Requirements Definition Business Users, Business Analyst, Big Data
Architect
Requirements Summary
3 Development Develop Big Data Solution
Framework
Big Data Architect Solution Component
Diagram
4 Development Develop the Development and
Test Environment
Big Data Architect,
Data Integration Specialist, Developer
Development and Test
Environment
5 Development Develop Data Capture Data Integration Specialist, Developer Data Capturing Module
6 Development Develop Analytics Data Integration Specialist, Developer Data Analytic Module
7 Development Integrate Visualization Data Integration Specialist, Developer User Interface and
Visualization Results
8 Development Manage Assets and
Configurations
Project Manager, Big Data Architect,
Corporate Information Security, Head of IT
Operation
Assets Inventory and
Configurations Change
Procedure
Agile Methodology may apply in Big Data Development Phase.
Key Activities, People and Deliverables
212

213. Danairat T.
Key Activities, People and Deliverables
No. Phases Activities People Deliverables
1 Operation and
Support
Monitor Big Data Platform Availability,
Utilization and Capacity Planning
IT Operation Team Availability, Utilization and
Capacity Planning Report
2 Operation and
Support
Manage Operation Tasks (Admin. Scripts,
Commands), Data Capturing System,
Upgrading or Patching
IT Operation Team, Big Data
Architect
Schedule or Ad-Hoc
Operation Activities
3 Operation and
Support
Manage Service Requests and Incidents IT Operation Team Service Requests and
Incidents Procedures
4 Operation and
Support
System Administration Training Big Data Architect,
Data Integration Specialist,
Developer, IT
Administration, IT
Operation
System Administration and
Operation Training Activity
5 Operation and
Support
Helpdesk Training IT Administration, IT
Operation, IT Helpdesk
Helpdesk Training Activity
6 Operation and
Support
End-User Training (Analytic Results) Business Analyst, Business
Users
End-User Training Activity
213

214. Danairat T.
Key Activities, People and Deliverables
No. Phases Activities People Deliverables
1 Evaluation Create Adoption Rates for each
analytics Results
IT Operation Percent of user adoption
2 Evaluation Create No. of Missing Analytic
Results
Big Data Program Committee No. of Missing Analytics
Report
3 Evaluation Create No. of Missing Data
Results
Big Data Program Committee No. of Missing Data Report
4 Evaluation Create Lost hours per month
Results
Big Data Architect, Data Scientist,
Data Integration Specialist
Lost hours per month
Report
5 Evaluation Create Avg. of each Analytic
Processing and Response Time
Results
Data Integration Specialist, Data Scientist Analytic Processing and
Response Time Report
6 Evaluation Create No. of Technology System
Failure per month Results
Business Analyst, Big Data Architect, Data
Scientist, Developer
Technology System Failure
per month Report
7 Evaluation Evaluate Activity Conformance
with Policies
Big Data Architect, Project Manager Change Control Log Report
214

215. Healthcare Analytics Adoption Model
Level 8
Personalized Medicine
& Prescriptive Analytics
Tailoring patient care based on population outcomes and genetic
data. Fee-for-quality rewards health maintenance.
Level 7
Clinical Risk Intervention
& Predictive Analytics
Organizational processes for intervention are supported with
predictive risk models. Fee-for-quality includes fixed per capita
payment.
Level 6
Population Health Management
& Suggestive Analytics
Tailoring patient care based upon population metrics. Fee-for-
quality includes bundled per case payment.
Level 5 Waste & Care Variability Reduction
Reducing variability in care processes. Focusing on internal
optimization and waste reduction.
Level 4 Automated External Reporting
Efficient, consistent production of reports & adaptability to
changing requirements.
Level 3 Automated Internal Reporting
Efficient, consistent production of reports & widespread
availability in the organization.
Level 2
Standardized Vocabulary
& Patient Registries
Relating and organizing the core data content.
Level 1 Enterprise Data Warehouse Collecting and integrating the core data content.
Level 0 Fragmented Point Solutions
Inefficient, inconsistent versions of the truth. Cumbersome
internal and external reporting.
www.healthcatalyst.com
215

216. Danairat T.
Business Analytics vs. Business Intelligence Activities Worksheet
Who
(Who care)
What Service
Type
Why
(Objectives)
When
(to be
released)
Digital Data
Source
Customer Mobile BI App
and Alerts
Digital innovation
program alignment
Adhoc,
Weekly
CRM App, Plant
Data, ERP Data
CEO Business
Performance
Report
Stake holder
benefits 100%
Weekly ERP System, Fin.
Spreadsheets
CMO Target Customer
Recommendation
Report
Expand
revenue 10% by
end of quarter
Adhoc,
Weekly
Social Network,
Twitter
COO % Reduce
waste in Plant
Reduce cost
(opex) 15% by
end of year
Weekly Plant data
CFO Cash flow
Report and
Alerts
Support Risk
Control and
reduce cost
(opex) by 15%
Adhoc,
Monthly
ERP System, Fin.
Spreadsheets
Business
Partners
Activity
Tracking Alert
Increase
productivity
20%
Daily CRM App, Plant
Data, ERP Data
New
Services
Optimized
Services
Optimized
Services
Optimized
Services
New
Services
New
Services
Samples
216

217. Danairat T.
Who
(Who care)
What Service
Type
Why
(Objectives)
When
(to be
released)
Digital Data
Source
Business Analytics vs. Business Intelligence Activities Worksheet
217

218. Danairat T.
Sample Customer Data Quality Management
Worksheet
N
o.
Master/
Transactional
/
Summary
Data
Data
Name
Owner Used by
Critical
Business
Processes
(Y/N)
Use By
Executive
Reports
(Y/N)
Change
Control
(Y/N)
Sample
Data
Structure,
Data Type,
Data Range
Current Issues
With % of
Records are align
with its profiling
Remarks
1 Master Custom
er-
Individu
al
Retail-
Marketin
g
Y, Core Retail
Sales process
Y, Customer
Profitability
Reports
Y See atth.
75% Goals 100%
of data
quality
completion
2 Master Custom
er –
Organiz
ation
Corporat
e-
Marketin
g
Y, Core
Corporate
Sales Process
Y, Customer
Profitability
Reports
Y See atth.
99% Goals 100%
of data
quality
completion
218

219. Danairat T.
Enterprise Data Quality Worksheet
N
o.
Master/
Transactional
/
Summary
Data
Data
Name
Owner Used by
Critical
Business
Processes
(Y/N)
Use By
Executive
Reports
(Y/N)
Change
Control
(Y/N)
Sample
Data
Structure,
Data Type,
Data Range
Current Issues
With % of Records
are align with its
profiling
Remarks
219

220. Danairat T.
Big Data Governance Worksheet
N
o.
Master/
Transaction
al/
Summary
Data
Data
Name
Owner Used by
Critical
Business
Service (Y/N)
Volume
(MB/GB/TB)
Varieties of
Types
(Text, XML,
JSON, Image,
Sound, VDO,
etc.)
Velocity
(How fast
data
change in
minutes)
Change
Control
(Y/N),
Change
Procedure
Current
Issues
220

221. Danairat T.
Summary
Digital Initiatives
Digital Platform
Business Services &
Business Objectives
New
Services
Optimized
Services
Retired
Services
CEO
CFOCOOCMO
Big Data
Digital
Security
“Innovation”
“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business Process
Optimization/Outsourcing
Smart Workforce
Enterprise
Metamorphosis
Digital Organization
Business Process as a Service
More ControlMore Flexible
Vision,
Mission
StatementsBusiness
Analytics
BI
• What will happen?
• What if and Why did it happen?
• Predictive Modeling
• Simulation/Optimization
• Advanced Statistic Models
• Data Mining (Text, Multimedia)
• Data Science
• Who did that task?
• What happened?
• Dashboards, Alerts
• Scorecards Monitoring
• Slice & Dice, Drilling
• Reports
• DWH
• Data Lake
221

222. Danairat T.
Part 4
222

223. Danairat T.
People Transformation
อ.ดนัยรัฐ ธนบดีธรรมจารี
Line ID: Danairat
FB: Danairat Thanabodithammachari
+668-1559-1446
223

224. Danairat T.
Where the transformation starts!?
People
คน
Enterprise
องค์กร
VS.
No right and no wrong
The Digital Transformation
224

225. Danairat T.
People Transformation Reference Model
ความสุข
สิѷงทีѷยังไม่รู้
The Happiness is now
225

226. Danairat T.
People Transformation Reference Model
ความสุข
สิѷงทีѷยังไม่รู้
The Happiness is now
ทําประโยชน์
หรือรอก่อน?
226

227. Danairat T.
People Transformation Reference Model
1. เห็นว่า
สุขคือเดีѺยวนีҟ
The Happiness is now
สิѷงทีѷยังไม่รู้
227

228. Danairat T.
People Transformation Reference Model
2. คิดเสริมคุณค่า
1. เห็นว่า
สุขคือเดีѺยวนีҟ
The Happiness is now
ความใว ้วางใจ, ความรัก, การเป็นคําพูด
สิѷงทีѷยังไม่รู้
228

229. Danairat T.
People Transformation Reference Model
2. คิดเสริมคุณค่า
3. ทําประโยชน์เพิѷม
1. เห็นว่า
สุขคือเดีѺยวนีҟ
The Happiness is now
ไม่รังแกตนเอง, ไม่กล่าวโทษผู้อืѷน, ทําประโยชน์ให ้เกิดขึѸนจริง
ความสุขส่งต่อให ้ผู้คน
ความใว ้วางใจ, ความรัก, การเป็นคําพูด
สิѷงทีѷยังไม่รู้
229

230. Danairat T.
People Transformation Reference Model
2. คิดเสริมคุณค่า
3. ทําประโยชน์เพิѷม
1. เห็นว่า
สุขคือเดีѺยวนีҟ
4. เชืѷอมโยงความรู้
The Happiness is now
ไม่รังแกตนเอง, ไม่กล่าวโทษผู้อืѷน, ทําประโยชน์ให ้เกิดขึѸนจริง
ความสุขส่งต่อให ้ผู้คน
ความใว ้วางใจ, ความรัก, การเป็นคําพูด
เติมความรู้ทีѷจําเป็น, ไม่ต ้องรู้ไปเสียทุกอย่าง, เดินหน้าหาความรู้ทีѷเกิดประโยชน์
สิѷงทีѷยังไม่รู้
230

231. Danairat T.
People Transformation Reference Model
2. คิดเสริมคุณค่า
3. ทําประโยชน์เพิѷม
1. เห็นว่า
สุขคือเดีѺยวนีҟ
5. เรียนรู้วิธีการเรียนรู้ (เพราะสิѷงทีѷไม่รู้ยังมีอยู่เสมอ)
4. เชืѷอมโยงความรู้
The Happiness is now
ไม่รังแกตนเอง, ไม่กล่าวโทษผู้อืѷน, ทําประโยชน์ให ้เกิดขึѸนจริง
ความสุขส่งต่อให ้ผู้คน
ความใว ้วางใจ, ความรัก, การเป็นคําพูด
เติมความรู้ทีѷจําเป็น, ไม่ต ้องรู้ไปเสียทุกอย่าง, เดินหน้าหาความรู้ทีѷเกิดประโยชน์
ไม่ทะนงตน, ยอมรับในสิѷงทีѷตนยังไม่รู้, พัฒนาตนให ้มีทักษะในการเรียนรู้, รู้จักตัวเอง, ประมาณตนได ้
231

232. Danairat T.
People Transformation Reference Model
2. คิดเสริมคุณค่า
3. ทําประโยชน์เพิѷม
1. เห็นว่า
สุขคือเดีѺยวนีҟ
5. เรียนรู้วิธีการเรียนรู้ (เพราะสิѷงทีѷไม่รู้ยังมีอยู่เสมอ)
4. เชืѷอมโยงความรู้
The Happiness is now
ไม่รังแกตนเอง, ไม่กล่าวโทษผู้อืѷน, ทําประโยชน์ให ้เกิดขึѸนจริง
ความสุขส่งต่อให ้ผู้คน
ความใว ้วางใจ, ความรัก, การเป็นคําพูด
เติมความรู้ทีѷจําเป็น, ไม่ต ้องรู้ไปเสียทุกอย่าง, เดินหน้าหาความรู้ทีѷเกิดประโยชน์
ไม่ทะนงตน, ยอมรับในสิѷงทีѷตนยังไม่รู้, พัฒนาตนให ้มีทักษะในการเรียนรู้, รู้จักตัวเอง, ประมาณตนได ้
232

233. Danairat T.
People Transformation Reference Model
2. คิดเสริมคุณค่า
3. ทําประโยชน์เพิѷม
1. เห็นว่า
สุขคือเดีѺยวนีҟ
5. เรียนรู้วิธีการเรียนรู้ (เพราะสิѷงทีѷไม่รู้ยังมีอยู่เสมอ)
4. เชืѷอมโยงความรู้
The Happiness is now
ไม่รังแกตนเอง, ไม่กล่าวโทษผู้อืѷน, ทําประโยชน์ให ้เกิดขึѸนจริง
ความสุขส่งต่อให ้ผู้คน
ความใว ้วางใจ, ความรัก, การเป็นคําพูด
เติมความรู้ทีѷจําเป็น, ไม่ต ้องรู้ไปเสียทุกอย่าง, เดินหน้าหาความรู้ทีѷเกิดประโยชน์
ไม่ทะนงตน, ยอมรับในสิѷงทีѷตนยังไม่รู้, พัฒนาตนให ้มีทักษะในการเรียนรู้, รู้จักตัวเอง, ประมาณตนได ้
233

234. Danairat T.
People Transformation Reference Model
2. คิดเสริมคุณค่า
3. ทําประโยชน์เพิѷม
1. เห็นว่า
สุขคือเดีѺยวนีҟ
5. เรียนรู้วิธีการเรียนรู้ (เพราะสิѷงทีѷไม่รู้ยังมีอยู่เสมอ)
4. เชืѷอมโยงความรู้
The Happiness is now
ไม่รังแกตนเอง, ไม่กล่าวโทษผู้อืѷน, ทําประโยชน์ให ้เกิดขึѸนจริง
ความสุขส่งต่อให ้ผู้คน
ความใว ้วางใจ, ความรัก, การเป็นคําพูด
เติมความรู้ทีѷจําเป็น, ไม่ต ้องรู้ไปเสียทุกอย่าง, เดินหน้าหาความรู้ทีѷเกิดประโยชน์
ไม่ทะนงตน, ยอมรับในสิѷงทีѷตนยังไม่รู้, พัฒนาตนให ้มีทักษะในการเรียนรู้, รู้จักตัวเอง, ประมาณตนได ้
Begin at yourself
then your people
Connect the
knowledge
Core Services
and Objectives
Vision and Missions
Learn
how to
learn
234

235. Danairat T.
People Transformation Reference Model
2. คิดเสริมคุณค่า
3. ทําประโยชน์เพิѷม
1. เห็นว่า
สุขคือเดีѺยวนีҟ
5. เรียนรู้วิธีการเรียนรู้ (เพราะสิѷงทีѷไม่รู้ยังมีอยู่เสมอ)
4. เชืѷอมโยงความรู้
The Happiness is now
ไม่รังแกตนเอง, ไม่กล่าวโทษผู้อืѷน, ทําประโยชน์ให ้เกิดขึѸนจริง
ความสุขส่งต่อให ้ผู้คน
ความใว ้วางใจ, ความรัก, การเป็นคําพูด
เติมความรู้ทีѷจําเป็น, ไม่ต ้องรู้ไปเสียทุกอย่าง, เดินหน้าหาความรู้ทีѷเกิดประโยชน์
ไม่ทะนงตน, ยอมรับในสิѷงทีѷตนยังไม่รู้, พัฒนาตนให ้มีทักษะในการเรียนรู้, รู้จักตัวเอง, ประมาณตนได ้
235

236. Danairat T.
Part 5
236

237. Danairat T.
The Metamodel of Transformation
อ.ดนัยรัฐ ธนบดีธรรมจารี
Line ID: Danairat
FB: Danairat Thanabodithammachari
+668-1559-1446
237

238. Danairat T.
The Metamodel of Transformation
Technology
238

239. Danairat T.
The Metamodel of Transformation
Technology
239

240. Danairat T.
The Metamodel of Transformation
Business
Technology
240

241. Danairat T.
The Metamodel of Transformation
Business
Technology
241

242. Danairat T.
The Metamodel of Transformation
Business
Technology
Economics
242

243. Danairat T.
The Metamodel of Transformation
Economics
Business
Technology
243

244. Danairat T.
The Metamodel of Transformation
Economics
Business
Technology
Power & Politics
244

245. Danairat T.
The Metamodel of Transformation
Economics
Business
Technology
Power & Politics
245

246. Danairat T.
The Metamodel of Transformation
Philosophy
Power & Politics
Economics
Business
Technology
246

247. Danairat T.
The Metamodel of Transformation
Philosophy
Power & Politics
Economics
Business
Technology
247

248. Danairat T.
The Metamodel of Transformation
Sociology
Philosophy
Economics
Business
Technology
Power & Politics
248

249. Danairat T.
The Metamodel of Transformation
Sociology
Philosophy
Economics
Business
Technology
Power & Politics
249

250. Danairat T.
The Metamodel of Transformation
Sociology
Philosophy
Economics
Business
Technology
Nature
Power & Politics
250

251. Danairat T.
The Metamodel of Transformation
Nature
Sociology
Philosophy
Economics
Business
Technology
Science
Power & Politics
251

252. Danairat T.
The Metamodel of Transformation
Nature
Sociology
Philosophy
Economics
Business
Technology
Science
1. มีรายได้
2. เป็ นผู้นํา
อุตสาหกรรม
3. มีอํานาจ
4. สร้างความเชืѷอ
Power & Politics
252

253. Danairat T.
The Metamodel of Transformation
Nature
Sociology
Philosophy
Economics
Business
Technology
Science
ยอมหัก ไม่ยอมงอ
ยอมงอ ไม่ยอมหัก
Right or wrong
No right and no wrong
Power & Politics
253

254. Danairat T.
The Metamodel of Transformation
Nature
Sociology
Philosophy
Economics
Business
Technology
Science
Power & Politics
254

255. Danairat T.
The Metamodel of Transformation in Digital Era
Nature
Sociology
Philosophy
Digital Economy
Digital Business
Digital Technology
Philosophy
Power & Politics
Digital Economy
Digital Business
Digital Technology
Science
Social
Network
Power & Politics
255

256. Danairat T.
The Metamodel of Transformation in Digital Era
Nature
Sociology
Philosophy
Digital Economy
Digital Business
Digital Technology
Philosophy
Digital Economy
Digital Business
Digital Technology
Science
Social
Network
Believing
Sharing
economy
Power & Politics Power & Politics Power & Politics
256

257. Danairat T.
The Metamodel of Transformation in Digital Era
Nature
Sociology
Social
Network
Philosophy
Digital Economy
Digital Business
Digital Technology
Philosophy
Digital Economy
Digital Business
Digital Technology
Science
Some context,
you are at the
top level
Another
context at
the same
time , you
are at this
level
Power & Politics Power & Politics
257

258. Danairat T.
The Metamodel of Transformation in Digital Era
Nature
Sociology
Philosophy
Digital Economy
Digital Business
Digital Technology
Philosophy
Digital Economy
Digital Business
Digital Technology
Science
New
Journey
Social
Time
Power & Politics Power & Politics
258

259. Danairat T.
อ.ดนัยรัฐ ธนบดีธรรมจารี
+668-1559-1446 Line ID: danairat
FB: https://www.facebook.com/tdanairat
Together we can!
Thank you.
259