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Danairat T.
อ.ดนยรฐ ธนบดธรรมจาร+668-1559-1446 Line ID: danairatFB: www.facebook.com/tdanairat
Digital TransformationEnterprise Architecture for Digital BlueprintBig Data Strategy and Project Management
Digital Transformation,Enterprise Architecture and Big Data
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFO
COO
CMO
BigData
DigitalSecurity
“Innovation”
“Efficiency”
“Sustainability”
Cloud
D ata M onetization
NewCustomers,Channels
IoT, Smart D evices
Business ProcessOptimization/Outsou
rcing
Smart Workforce
EnterpriseM etamorphosis
Digital Organization
Business Process as a ServiceM ore ControlM ore Flexible
Vis ion,M iss ion
Statements
The Digital Transformation Series
1
Danairat T.
2
Danairat T.
Information Technologyvs.
Digital Technology
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Danairat T.
Digital Business Maturity
4
Danairat T.
ApplicationAreas
Smart Cities SmartEnvironment
SmartEnergy
SmartAgriculture E-Health Retail Logistics Industrial
Control
Internet of Things
Monika, 20155
Danairat T.
New Digital Touch PointsNot only application software
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Danairat T.
Smart Farming
Monika, 20157
Danairat T.
Drones will continue torevolutionize photographyand videography but real
innovation will derive fromutility in vertical
applications such asdelivery, care, exploration,
etc.
Image Credit: Alec Momont8
Danairat T.
Mixed Reality
Image via MagicLeap
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Danairat T.
3D Printing
suefeng.com/blog/3d-printing-and-additive-manufacturing/
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Danairat T.
Smart Home
Monika, 201511
Danairat T.
Smart Cars
Monika, 201512
Danairat T.
Smart Healthcare
Monika, 201513
Danairat T.
Big Data IntroductionVolume
Variety Velocity
DB TableDelimited Text
XML, HTML
Free Form TextImage, Music, VDO, Binary
Batch
Near real time
Real time
GB
TB
PB
XB
ZB
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Danairat T.
Retails Store Use Cases
1. Golden zones2. More expensive items
with bigger margins3. Endcaps4. Buy level5. Traffic builder6. Action alley7. Front of shop8. Signpost brands9. Hanging signs and shelf
signs10. Range reduction
Less can be more. Average householduses 300 products in a year
independent.co.uk
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Danairat T.
Retails Store Use Cases
Store Layout ProfitsCustomer Density
independent.co.uk
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Danairat T.
การเตอนภยพบต Sensor ปรมาณนาฝน นาในเขอน ปรมาตรเขอน, แสดงแนวโนมสภาวะนาทวม Nearly Real-Time
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Danairat T.
Outbreak with Early Detection
Management of Outbreak with Early Detection
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Danairat T.
1. B
lood
Pre
ssur
eHe
art r
ate
Trac
king
4. H
ealth
Tra
ckin
gHe
alth
che
ck u
p re
cord
s
1. B
lood
Pre
ssur
eSl
eep
Trac
king
4. H
ealth
Tra
ckin
gHe
alth
che
ck u
p re
cord
s
3. Public/PrivateHospital executesHealth Program
integratedEHR/EMR Systems
2. Governmentcreates/revises
National HealthProgram
1. B
lood
Pre
ssur
eCo
ach
Trac
king
4. H
ealth
Tra
ckin
gHe
alth
che
ck u
p re
cord
s
Big Data
Cloud
SuggestedHealth Improvement
(Secured Personal Access)
Government Officer
Doctor
Nurse
Officer
Integrated MedicalDevice
Integrated MedicalDevice
Integrated MedicalDevice
Integrated MedicalDevice
Integrated MedicalDevice
แนวทางประชารฐ กบ HealthcareBig Data
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Danairat T.
What is FinTech
FinTech is technologies that are disrupting traditional financialservices, including mobile payments, money transfers, loans,
fundraising, and asset management.
https://financialtribune.com/articles/world-economy/79492/fintech-growing-more-valuable
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Danairat T.
FinTech Revolution
MARIUSZ OŻGA, 2017
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Danairat T.
FinTech Revolution
MARIUSZ OŻGA, 2017
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Danairat T.
In-App Payment
In-app purchases first became available in Apple's App Store with the release of iOS 3.0 in October2009. The BlackBerry App World added support for in-app purchases in September 2010, and inMarch 2011 Google added its version of in-app purchases called in-app billing for Android users.
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Danairat T.
FinTech Priorities and Technologies
MARIUSZ OŻGA, 2017
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Danairat T.
FinTech StartupsUnlocked Bank Features
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Danairat T.
Blockchain Technology
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Danairat T.
Blockchain History
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Danairat T.
Digital Government Maturity Model
TraditionGov.
E-Gov.
D-Gov.
ConnectedGov.
Open Gov.
1 -- INITIAL
2 -- DEVELOPING
3 – DEFINED4 – MANAGED
5 - OPTIMIZING
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Danairat T.
Digital Government Maturity Model
TraditionGov.
E-Gov.
D-Gov.
ConnectedGov.
Open Gov.
1 -- INITIAL
2 -- DEVELOPING
3 – DEFINED4 – MANAGED
5 - OPTIMIZING
§ Basic communication; phone, fax
§ In-person contact to gov. service
§ Paper based
§ Focused on digitization (Less paper)
§ Each gov. portal for information
§ Leveraging of SOA technology
§ Focused on digitalization (Paper less)
§ Mobile as main channel then web
§ Integrate IoT eg.; agriculture, tourism
§ Focused on data-centricity
§ Smart machine integration/ Social listening
§ True One-Stop service by integrate gov. services
§ Focused on openness
§ Gov. as platform for citizen and biz
§ Things as data
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Danairat T.
Government Digital Maturity Model
2 – E-Gov. (DEVELOPING) 3 – D-Gov. (DEFINED)1- Traditional Gov. (INITIAL)§ Focused on digitization (Less paper)§ Leveraging of SOA technology§ Initial of xml data exchange between
department for back office§ Each gov. portal for information
§ Business app on the web; mainly search§ Some citizen app on the web; tax§ Value driver is in compliance
and efficiency§ Decision maker – CTO/CIO
§ Bureaucratic§ Basic communication; phone, fax§ In-person contact to gov. service§ Paper based transaction & data store
§ Several visit to difference gov. officer
§ Focused on digitalization (Paper less)§ Transaction has started on mobile or web§ Mobile as main channel then web§ Change from process to service
§ Integrate gov. business process for citizen andbiz§ Integrate IoT sensor eg.; transportation,
police, agriculture, tourism§ Initial big data collect and analyze service
level§ Decision maker - Departments
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Danairat T.
Government Digital Maturity Model
5 – Open Gov. (OPTIMIZING)4 – Connected Gov. (MANAGED)§ Focused on openness§ Truly omnichannel and citizen centric gov.§ Big Data analytic aims for prescriptive§ Government as platform for citizen and biz
§ Hybrid gov. cloud in PPP (public-private-partnership)§ Things as data and gov. case/event captured has started on
things (not human key-in) eg. Car accident§ Success measured by # of value driven services, openness
and speed§ Decision makers – Departments and citizen
§ Focused on data-centricity§ Open government data§ Big Data analytic aims for service innovation§ Smart machine integration/ Social listening
§ True One-Stop service by integrate gov. services§ Evidence base for gov. policy maker§ Value driver is in transparency§ Success measured
by % of data driven innovation
§ Decision maker - Departments 31
Danairat T.
Digital Technologies in Digital Government
https://blogs.opentext.com/keep-calm-and-carry-on/
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Danairat T.
Digital Business Maturity
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Danairat T.
Digital Connector vs. Digital Master
Digital Connector Digital Master
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 particularbusiness group
Serve the needs of an enterprise orinter-enterprise
Eg. Create Digital Channel and Social Analytic forMarketing Business Unit,
Image processing for Production Business Unit
Eg. Re-define company mission, transformingorganization and revise business processes with relatedpolicies and adopt new technologies into cross-function
business units
Related Technologies: Cloud Computing, Big Data, Smart Devices (Mobile, IoT/IoE, 3D Printing, etc.), SocialNetwork/AI Technology, Cyber-physical system (CPS), Advanced System Architectures and Securities
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Danairat T.
Digital Transformation Reference Model
“Innovation”“Efficiency”
“Sustainability”
Vision,Mission
Statements
Digi
tal
Initi
ativ
es?
Big Data DigitalSecurityCloud
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Danairat T.
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Vision,Mission
Statements
Digital Transformation Reference Model
The Business Services andBusiness Objectives
• New Services• Optimized Services• Retired Services
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Danairat T.
Digital Transformation Reference Model
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Digital Organization
Vision,Mission
Statements
Capabilities Definition• Knowledge• Experiences• Skills• Characters• Behavior
Organizations need to beestablished after identifiedcapabilities andfunctions requiredfrom manned andunmannedworkforce
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Danairat T.
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
Digital Transformation Reference Model
Business processesand digital touchpoints need to bedesigned together.
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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
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Danairat T.
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
Digital Transformation Reference Model
DigitalTechnology
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Danairat T.
What is Cloud computing?
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Danairat T.
What is Big data?
http://www.itpro.co.uk/business-strategy/28163/what-is-big-data-analytics
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Danairat T.
Digital Security Overview
http://www.esecurityto.com
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Danairat T.
Digital Transformation Reference Model
2.Skillset
1.Mindset
3.Toolset
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
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Danairat T.
Business Services and Digital Initiatives Worksheet
ชอบรการ: เปาประสงค:
หนวยงานทรบผดชอบ:
Version: Date/Time:
ประเดนตดคางดานกระบวนการทางาน:(Non-IT Issues)
ประเดนตดคางดานเทคโนโลย :(IT/Digital Issues)
1.________________2.________________3.________________4.________________
ใหม (New)
ปรบปรง (Improve)
ยกเลก (Retire)ชอผบนทก:
ชอหนวยงานทเกยวของ (Stake Holders)
ประชาชนชมชนSMEบ.ขนาดใหญ
รฐวสาหกจหนวยงานรฐ
Cloud
Big DataSocial Network/Omnichannel
IOTกฎระเบยบ วฒนธรรมการทางาน
ขวญและกาลงใจขนตอนซาซอนหรอไมชดเจน
ขนตอนการทางาน, สารสนเทศ (Evidences)
1. ____________, ________________2. ____________, ________________3. ____________, ________________4. ____________, ________________5. ____________, ________________
Services:
Service Owner:
Objectives:
Prepared by:
Key Processes
โครงการจะเรมวนท:____/____/____ แลวเสรจวนท:____/____/____วว / ดดด / ปปปป วว / ดดด / ปปปปProject Started Date: Project Completed Date:
Laws Work culture
MoralProcess redundancy/Unclear
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Danairat T.
ประเดนปญหาดานการทางานและปญหาดานเทคโนโลย
ปญหาดานเทคโนโลย- ปญหาดานการเชอมโยงขอมลในระหวางหนวยงาน
- ปญหาดานไอทแอปพลเคชนใชยากเกนไป, หนาจอชา
- ปญหาดานเครอขายไมทวถง- ปญหาดานอปกรณดานเทคโนโลยทใชหนางาน
- ปญหาดานการรกษาความปลอดภยของระบบงาน
ปญหาดานการทางาน- ปญหาดานกฎระเบยบทยงยาก
- กระบวนการทางานซาซอน ลาชา- ขาดการตดตาม และการควบคม
- คนขาดความร ประสบการณ และทกษะการทางาน
- ขาดแรงจงใจในการทางาน
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Danairat T.
Digital Transformation Reference Model
Who
How
What
Why
When
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
47
Danairat T.
Digital Transformation Reference Model
Who
How
What
Why
When
Digital Initiatives
Digital Platform
NewServices
OptimizedServices
RetiredServices
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Business Process ModularityMore ControlMore Flexible
Vision,Mission
Statements
Manned and unmannedworkforce ecosystems
Business Services &Business Objectives
Digital Network Ecosystem
Win-Win business
New landscape drives new vision
Digitaltouchpoints
Technologies 48
Danairat T.
Digital Transformation Reference Model
Design Thinking,PESTLE, SWOT
Service Innovation,Value Creation
Organization Agility,Change Management
PMBOK,BPM,DMBOK
ITIL
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
aa a
with other frameworks
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Danairat T.
Digital Transformation Reference Modelwith TOGAF ADM framework
BusinessArchitecture
App & DataArchitecture
TechnologyArchitecture
ArchitectureVision
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
50
Danairat T.
Digital Transformation Reference Modelwith Balanced Scorecard framework
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
Learning &Growth
InternalProcessCustomer FinancialFinancial
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Danairat T.
Digital Transformation Reference Modelwith Business Sustainability framework
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
Revenue RiskCost
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Danairat T.
Digital Transformation Reference Model
BusinessCapability
DigitalPlatform& Operation
BusinessDirection
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Team Ecosystem
Business Process ModularityControlCollaboration
Vision,Mission
Statements
You and your networks
1
2
3
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Danairat T.
Digital Transformation Reference Model
2.Skillset
1.Mindset
3.Toolset
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
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Danairat T.
Digital Transformation Reference Model
Digital Touch points
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
Big Data Digital Security
“Innovation”“Efficiency”
“Sustainability”
Cloud
CustomerRecommendation Engine Operation Smart Devices/IoT Secure Smart Workforce
Network Organizations
Vision,Mission
Statements
NewSkills
OptimizedSkills
RetiredSkills
NewBehaviors
3. Combine Mannedand UnmannedPower (คน และ AI)
2. Identify (Digital) Services
1. Redefine Vision/Missions
OptimizedBehaviors
RetiredBehaviors
Behaviors4. Deploy Behavior
Processing
5. EstablishDigitalTechnology
5 Key Steps towards Metamorphosis
Danairat T.
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Danairat T.
5 Key Steps towards Metamorphosis
1. Redefine Vision/Missions: เรมจากการประเมนสถานะผลการดาเนนงานของทานเมอเปรยบเทยบกบคแขงในยค Digital พรอมทงสถานการณทางเศรษฐกจและวกฤตการณตาง ๆ ทเกดขนมาวเคราะหวา Vision และ Missions ของเราเดม ๆทมอยสามารถรบมอกบสงทเขามาใหม ๆ ไดหรอไม หรอมความจาเปนตองปรบวสยทศนใหมใหสอดรบกบภมทศนทไดเปลยนไปแลว
2. Identify (Digital) Services: เรมจากการมองสอ Digital มาใชในการขบเคลอนบรการใหม ๆ เพอใหเกดความเทาทนในการใหบรการในยคปจจบน โดยจะตองไมลมทจะรอถอนบรการบางอยางทไมกอใหเกดคณคาออกไปดวย เพอไมใหเกดการหนวงเหนยวในระดบขนตอนการทางาน
3. Combine Manned and Unmanned Power: เรมวเคราะหและแยกแยะออกมาเปน Skills ตาง ๆ ทจาเปนเพอทาใหงานสาเรจ โดยบางงานเราสามารถใชอปกรณเครองมอเขามาชวยมนษยทา เชนงานทตองทาซา ๆ หรอเขาไปในทเสยงภยอนตราย และเราตอง Retire Skills ทไมกอใหเกดคณคาออกไปบางเพอแลกกบการอยรอดหรอการกาวเดนตอไปได
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Danairat T.
5 Key Steps towards Metamorphosis
4. Deploy Behavior Processing: ในยค Digital แทบทกสงจะเชอมโยงถงกนหมด และทงผใหบรการและลกคาผรบบรการ โดยเราจะตองกลบมาพจารณาถงพฤตกรรมตาง ๆ ทเกดขน ทงดานผรบบรการ และดานผใหบรการ ถงเงอนไขทมผลตอการตดสนใจใชบรการ หรอเลกใชบรการ โดยในบางหนวยงานเรมสนใจการวเคราะหพฤตกรรมผรบบรการมากขนจนสามารถรบลกคาทเปน UnmannedCustomers ไดดวย (เชน Machine-2-Machine) ในทางกลบกนผใหบรการกตองปรบตวใหมพฤตกรรมใหมเชนกน โดยจะตองเลกพฤตกรรมทไมกอใหเกดคณคาตอการเดนทางสความสาเรจออกไปดวย
5. Establish Digital Technology: เราไมสามารถปฏเสธการใช DigitalTechnologies (Social Network, Big Data, Cloud, Mobile, etc.) ไดอกตอไปเพราะเครองมอเหลานไดเขามาเปนสวนหนงของชวตประจาวนแลว แตอยางไรกตามเราจะตองไมลมดานความปลอดภยในการใชงาน เพราะสงททาใหเกดความสะดวกไดมาก ๆ เมอเกดเหตขดของขนมากจะเปนภยรายแรงมาก ๆ เชนกน
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Danairat T.
Digital Transformation towards Sustainability
3 CreatingCapabilities
4. IdentifyingWorkingModel withDigitalTouchpoints
5. ApplyingTechnologyPlatforms
1. Redefine Vision
2. Creating CoreValues and Flagships
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Network Ecosystem
Business Process ModularityMore ControlMore Flexible
Vision,Mission
Statements
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The Digital Transformation towards Sustainabilityขอท 1 Redefine Vision: มองภมทศนปจจบน (Current landscape) ดวยความเปนกลาง สงเกตการเชอมโยงของสงตางๆ อยางสรางสรรค ใช เชอมโยงเหลานนนาพาใหปรากฏเปนสงทมความเปนไปไดจรง จากเรองราวทเชอมโยงกนเหลานนเรยกมนวาวสยทศน (Vision) ในจดนอาจตองใชการมองมากกวา 1 ศาสตร ..ควรใหความเคารพในศาสตรสาขาอนๆ ดวยเพราะเมอมนเชอมโยงกนแลวจะมพลงเกดขนเสมอ...ขอท 2 Creating Core Values and Flagships with Operating Model (Be authentic and constructive): มองตนเอง โดยใชความกลาทจะ "ไมเขาขางตนเอง" แตใหเขาใจตนเองตามจรงวาเราเปนสวนหนงของธรรมชาต แลวจนตนาการตอยอดจากขอท 1 ทาใหเกดเปนภาพ มองเหน ลกคา คคา สนคาหรอบรการ และจนกระทงเหนตนเองรวมอยในภาพดวย (เพอเปนสวนหนงในนน จะไดไมเผลอไปเลนบทเปนผสรางโลกเสมอ แลวคอยดดเงน) ..ใหปรากฏขนอยรวมกนเปนภาพ Ecosystems จดนตองมงาน ดานขอมลหลกฐาน มาชวยวเคราะห และใช Diagram วาดการเชอมโยง โดยภาพนนจะตองแสดงใหเหนถงคณคา แหงการเชอมโยงจากองคประกอบทง ลกคา สนคาหรอบรการ คคา และตวเรา เกดความกาวหนาทงทางวตถและจตใจ (ไมเมาเงนแตใหใชเงนกอใหเกดความเจรญกาวหนาในคนหมมาก ..ยงให..ยงได..ยงใหไดอก) ณ จดนจะไดผลลพธออกมาเปนภาพแหงจนตนาการตวสนคาหรอบรการทมคณคา และเราจะเรมมองเหนเปนผลตอบแทนทคควร.ขอท 3 Creating Capabilities: กอกาเนดหรอตอยอดความสามารถของตนเขากบความสามารถของผอนใหเปนศกยภาพรวมมงสรางความฝนในขอท 2 ใหเปนความจรง ณ จดนจะตองระวงเรองการแบงพวก แบงเหลาเพราะเมอรวมตว มงมนมากๆในทมงาน อาจทาใหเผลอไปมองใครๆ นอกองคกรวาเปนคแขงหรอศตรโดยไมรตว ..จงอยากใหกลบไปมองขอ 2 วาใหทมทาในสงทมคณคาและรบผลทคควรมากกวาจะไปกงวลวาคนอนกาลงทาอะไรและมองคนอนเปนศตร คาดโทษเขาโดยเขายงไมไดมความผดใดๆ แลวเรากจะเดนหลดออกนอกเสนทางเพราะมวไปตามแขงหรอแกแคนผอนจนเสยเวลาและพลงงาน.ขอท 4 Identifying the Working Process Model and Digital Touchpoints: เลอกรปแบบการทางานในทมใหเหมาะสม รวมถงรปแบบการทางานรวมกบคคา และการสอสารกบลกคาดวย บางอยางตองเนนความยดหยน โดยระลกไวเสมอ Trust makes things simple และบางอยางตองเครงครด อนเนองมาจากบวมหลายเหลา ..จากนนใหกาหนดจดกจกรรมทจะนาใช Digital เขามาได เพอชวยทาใหเกดเปน Anywhere, Anytime, Anydevices.ขอท 5 Applying Technology Platforms: อนญาตใหมการปรบเปลยนเครองมอทใหในการทางานโดยตองมองใหออกวาบางเครองมอทตองการให ใชอยางคมคาทสดเพอประหยดสงสดอาจจะทาใหองคกรไมสามารถเตบโตหรอสรางคณคา นวตกรรมใหมๆ ขนมาได หรอในทางตรงขามทใสเครองมอใหมทงหมดกอาจทาใหคนปรบตวเขากบสงใหมไมทน 59
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Part 2
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Enterprise Architecturein Digital Age
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFO
COO
CMO
BigData
DigitalSecurity
“Innovation”
“Efficiency”
“Sustainability”
Cloud
D ata M onetization
NewCustomers,Channels
IoT, Smart D evices
Business ProcessOptimization/Outsou
rcing
Smart Workforce
EnterpriseM etamorphosis
Digital Organization
Business Process as a ServiceM ore ControlM ore Flexible
Vis ion,M iss ion
Statements
¯ Why do we need Enterprise Architecture (EA)?¯ What is an Enterprise Architecture and Key Benefits?¯ Enterprise Reference Model (ERM)¯ Building Your Enterprise Architecture in Digital Age
§ Business Architecture and Information Architecture in Digital Ecosystem§ Application Architecture (Sensor Apps) and Data Architecture (Stream Data)§ Technology Architecture (Cloud, Blockchain, etc.) and Management Practices
¯ Enterprise Architecture and The Enterprise Master Plan
The Digital Transformation Series
อ.ดนยรฐ ธนบดธรรมจาร+668-1559-1446 Line ID: danairatFB: www.facebook.com/tdanairat
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Why do we needEnterprise Architecture (EA)?
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IT Silos
Database
CoreApp
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IT Silos
Database
CoreApp
Database
FinanceApp
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IT Silos
Database
CoreApp
Database
CRMApp
Database
OtherApps
Database
HR App
Database
FinanceApp
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IT Silos
Database
CoreApp
Database
CRMApp
Database
OtherApps
Database
HR App
Database
FinanceApp
IT Silos make inefficient to scale the business
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IT Silos
Database
CoreApp
Database
CRMApp
Database
OtherApps
Database
HR App
Database
FinanceApp
IT Silos make inefficient to scale the business
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IT Silos
Database
CoreApp
Database
CRMApp
Database
OtherApps
Database
HR App
Database
FinanceApp
IT Silos make inefficient to scale the business
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IT Silos
Database
CoreApp
Database
CRMApp
Database
OtherApps
Database
HR App
Database
FinanceApp
IT Silos make inefficient to scale the business
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Top Concerns from IT Silos
1. แตละหนวยงานในองคกรใหขอมลทไมตรงกนแกลกคาผรบบรการ2. ขอมลรายงานผดพลาดเมอตองใชในการตดสนใจดานธรกจ3. มหลายกระบวนการทางานทซาซอนกน4. ขาดความคลองตว และใชเวลามากเมอตองปรบปรงบรการใหมๆ5. ตองใชความพยายามอยางหนกในการทาใหทกๆระบบผานการตรวจสอบ
ดาน IT Audit, Regulatory Compliance, หรอ ISO ตางๆ6. ตองใชทกษะดาน IT หลากหลายเกนความจาเปนตอการดาเนนธรกจ7. IT เปน Bottleneck ตอการขบเคลอนธรกจ
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What is an EA and key benefits?
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Enterprise Architecture (EA)
สถาปตยกรรมดาน IT/Digital สาหรบองคกร เพอเปนโครงสรางในการตอยอดความสามารถไดอยางยงยน
What is an Enterprise Architecture?A structure design to ensure alignment between the
business and IT strategies
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without EA vs. with EA
Quick build and difficult to scale Design for scale and maintain
VS.
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without EA vs. with EA
Quick build and difficult to scaleDifficult to apply security
Design for scale and maintainSecure architecture for growth
VS.
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without EA vs. with EA
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrated A/C Refunds
RBADef
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCCCWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrated A/C Refunds
RBADef
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Refmaterial
Bus. Intel
NTS A/c
B EP
CDCCCWMS
BANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Without Enterprise ArchitectureInefficient IT
Complex and Delay Response
With Enterprise ArchitectureProductive IT
Cloud, Big Data, AI, Social, Mobile
VS. ERP Big Data
SecurityStorage
WIFI
Mobile
IoT
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Enterprise Transformation
Brian H. Cameron, Ph.D., Executive Director, Center for Enterprise Architecture, The Pennsylvania State University76
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Business Architecture & IT Architecture
ArchitectureBusiness
Architecture
Application ArchitectureApplication Architecture
Data ArchitectureData Architecture
Technology ArchitectureTechnology Architecture
EnterpriseArchitecture
ITArchitecture
BusinessArchitecture
Opportunities Management, Change Management,Governance, Maturity, Continuum
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The Enterprise Reference Model
Core Services
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The Enterprise Reference Model
Core Services
Enterprise Information Management
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The Enterprise Reference Model
RegulatoryCompliance
CorporateAdmin.Core Services
Enterprise Information Management
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The Enterprise Reference Model
Insightand
Monitoring
CitizenRelationshipManagement
RegulatoryCompliance
CorporateAdmin.Core Services
Enterprise Information Management
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The Enterprise Reference Model
Insightand
Monitoring
CitizenRelationshipManagement
RegulatoryCompliance
CorporateAdmin.Core Services
SystemMonitoring
andManagement
Security/Auditing
andIdentity
Management
Enterprise Infrastructure
Enterprise Information Management
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The Enterprise Architecture Reference Model
Customer Data Product Data Payment Data Accounting Org. HierarchyEnterprise Information Management
Data CentricProcess Centric
User CentricEnterprise Infrastructure
SystemMonitoring
andManagement
Security/Auditing
andIdentity
ManagementH/W, Storage, OS, Database, AppServer Platform
Decision Centric
Insightand
Monitoring
-Benchmarking-PerformanceRanking
CitizenRelationshipManagement
- Innovation-Promotion-Research
RegulatoryCompliance
- Audit- ISO- Law- Policy
CorporateAdmin.
- 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 andChannel Systems
- Gateway System, Proxy Service, Clearing House
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Enterprise Reference Model (ERM)
Insightand
Monitoring
CitizenRelationship
Management
RegulatoryCompliance
CorporateAdmin.
Core Services
SystemMonitoring
andManagement
Security/Auditing
andIdentity
Management
Enterprise Infrastructure
Enterprise Information Management
1. ชวยทาใหการมอง IT จากภาพของธรกจ
2. ชวยทาใหมองเหนบรการและกระบวนการทางานทางธรกจไดอยางครอบคลมและเปนระบบ
3. ชวยทาใหมองเหนความสอดคลองระหวาง Businessกบ IT ไดในระดบ StrategicView
4. เปนจดเรมตนของการทารายละเอยดในระยะตอไป
ERM ชวยทาใหการมองภาพความสอดคลองระหวาง Business และ IT ในระดบHigh Level เพอ:-
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Sample Enterprise Reference Model
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Sample Enterprise Reference Model
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Sample Enterprise Reference Model
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Sample Enterprise Reference Model
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Sample Enterprise Reference Model
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Group Workshop - Enterprise Reference Modelบรการ
รายงานผลการ
ดาเนนงาน
บรการ
งาน นวตกรรม
สงเสรม
ประชาสมพนธ
บรการ
งาน คณภาพ
และ กฎระเบยบ
บรการ
งาน
สนบสนน
บรการหลก
เทคโนโลย
ตดตาม
สถานะ
ระบบรกษา
ความปลอดภยสถาปตยกรรมดานเทคโนโลย
ขอมลหลก
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Sample of Government Enterprise ArchitecturePerformance Model Innovation
PerformanceReports
Breakdown KPIs
Govt. Ranking
ComplaintMgmt.
CitizenRelationship
SocialListening
Security ModelCorporateAdministration
ประกาศกระทรวง
LawsHR, HCM
Accounting
Procurement
Internal AuditsFinance
Env. Safety
กฎกระทรวง
Core Government Services
Access ChannelsWeb Kiosk Mobile/IOT Branch
Business Engagement Service
Citizen Engagement Service
Business Registration Service
Branch Service Management
Citizen Data Service Data Transaction Data Policy Data Organization Data
Enterprise Data and Information Management
Government Funds
IoT Insights
Case Management
IT Service
SystemMonitoring andManagement
Security/Auditingand IdentityManagement
Cloud Infrastructure
Decision Centric Platform (ML, Deep Learning)
Data Lake, Big Data Platform
Network Business Process Platform
Web Scale UI, Mobile, IOT Access
Identity Sec.
Data Sec.
Process Sec.
Monitoring
Sentimental
Service LevelManagement
Network SecCloudManagement
Digital Platform
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Workshops – Digital Master
1. Digital Initiative Workshop 2. Consolidate into one reference model
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Workshops
1. Digital Initiative Workshop 2. Consolidate into one reference model
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Enterprise Reference Model - The Future State
Enterprise Reference Model
Team Name: xxx1. Name, Company, E-mail2. Name, Company, E-mail
3. Name, Company, E-mail4. Name, Company, E-mail
NewChangedRetiredUnchanged
บรการ
ผลการ
ดาเนนงานบรการ
งาน
สงเสรม
บรการ
งาน
คณภาพ
และ
กฎระเบยบ
บรการ
งาน
สนบสนน
บรการหลก
เทคโนโลย
ตดตาม
สถานะ
ระบบรกษา
ความปลอดภย
โครงสรางสถาปตยกรรมดานเทคโนโลย
ขอมลหลก
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พฒนาการของการนาใชเทคโนโลยในองคกร
• ตางคนตางทา แลวมาเชอมกนทหลง
• ระบบงานกระจดกระจาย เชอมตอกนขาดมาตรฐาน
• เปลยนแปลงยาก
• ขยายระบบยาก
• ใชเวลามากในการจดการ และแกปญหา
• มความเสยงสง
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrate d A/C Refunds
RBADe f
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Re fmaterial
Bus. Inte l
NTS A/c
BEP
CDCCCWMS
B ANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrate d A/C Refunds
RBADe f
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Re fmaterial
Bus. Inte l
NTS A/c
BEP
CDCCCWMS
B ANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Silo
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พฒนาการของการนาใชเทคโนโลยในองคกร
Security
SFAProduct LMSInv
MGMTB2Bproduct SCM product DBERP MES-Dev
SFASFA-Test
SFA-Stage
Product
ProductERP-StageERP-
ProdMES-Stage
MES-Prod
productDB-
Stage B2B-StageB2B-
Dev
Security Security Security
Pt. to Pt. Integrations
SFAProduct LMSInvMGMT
product SCM product DBERP MES-DevProduct ERP-
Stageproduct
DB-Stage
• ตางคนตางทา แลวมาเชอมกนทหลง
• ระบบงานกระจดกระจาย เชอมตอกนขาดมาตรฐาน
• เปลยนแปลงยาก
• ขยายระบบยาก
• ใชเวลามากในการจดการ และแกปญหา
• มความเสยงสง
Rationalization• จดกลมกระบวนการทางาน และ ทรพยากรไอท
• มมาตรฐานในการรบสงขอมล
• ประหยดคาใชจายดาน SW Licenseและ support
• ลดตนทนดาน ITprojecttime/costs/risks
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrate d A/C Refunds
RBADe f
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Re fmaterial
Bus. Inte l
NTS A/c
BEP
CDCCCWMS
B ANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrate d A/C Refunds
RBADe f
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Re fmaterial
Bus. Inte l
NTS A/c
BEP
CDCCCWMS
B ANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Silo Standardization
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พฒนาการของการนาใชเทคโนโลยในองคกร
Security
SFAProduct LMSInv
MGMTB2Bproduct SCM product DBERP MES-Dev
SFASFA-Test
SFA-Stage
Product
ProductERP-StageERP-
ProdMES-Stage
MES-Prod
productDB-
Stage B2B-StageB2B-
Dev
Security Security Security
Pt. to Pt. Integrations
SFAProduct LMSInvMGMT
product SCM product DBERP MES-DevProduct ERP-
Stageproduct
DB-Stage
• ตางคนตางทา แลวมาเชอมกนทหลง
• ระบบงานกระจดกระจาย เชอมตอกนขาดมาตรฐาน
• เปลยนแปลงยาก
• ขยายระบบยาก
• ใชเวลามากในการจดการ และแกปญหา
• มความเสยงสง
Rationalization • ตดกระบวนการทางานทซาซอน
• ลดทรพยากรทางไอททไมจาเปน
• ผลตบรการดานไอทได เรวขน
• เพมความปลอดภยดานไอท
• จดกลมกระบวนการทางาน และ ทรพยากรไอท
• มมาตรฐานในการรบสงขอมล
• ประหยดคาใชจายดาน SW Licenseและ support
• ลดตนทนดาน ITprojecttime/costs/risks
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrate d A/C Refunds
RBADe f
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Re fmaterial
Bus. Inte l
NTS A/c
BEP
CDCCCWMS
B ANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrate d A/C Refunds
RBADe f
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Re fmaterial
Bus. Inte l
NTS A/c
BEP
CDCCCWMS
B ANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Silo Standardization Optimization
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พฒนาการของการนาใชเทคโนโลยในองคกร
Security
SFAProduct LMSInv
MGMTB2Bproduct SCM product DBERP MES-Dev
SFASFA-Test
SFA-Stage
Product
ProductERP-StageERP-
ProdMES-Stage
MES-Prod
productDB-
Stage B2B-StageB2B-
Dev
Security Security Security
Pt. to Pt. Integrations
SFAProduct LMSInvMGMT
product SCM product DBERP MES-DevProduct ERP-
Stageproduct
DB-Stage
• ตางคนตางทา แลวมาเชอมกนทหลง
• ระบบงานกระจดกระจาย เชอมตอกนขาดมาตรฐาน
• เปลยนแปลงยาก
• ขยายระบบยาก
• ใชเวลามากในการจดการ และแกปญหา
• มความเสยงสง
IT-as-a-ServiceRationalization • แบงกลมบรการทางดานไอทโดยมงการตอยอดบรการใหมๆ ใหเรวทสด
• ผลตบรการไดเรว และปลอดภย
• การวางแผนทาง ITทาควบคไปกบการวางแผนทางธรกจ
• เจาหนาทไอททางานไดเตมประสทธภาพ
• ตดกระบวนการทางานทซาซอน
• ลดทรพยากรทางไอททไมจาเปน
• ผลตบรการดานไอทได เรวขน
• เพมความปลอดภยดานไอท
• จดกลมกระบวนการทางาน และ ทรพยากรไอท
• มมาตรฐานในการรบสงขอมล
• ประหยดคาใชจายดาน SW Licenseและ support
• ลดตนทนดาน ITprojecttime/costs/risks
PaaS
SaaS
IaaS
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrate d A/C Refunds
RBADe f
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Re fmaterial
Bus. Inte l
NTS A/c
BEP
CDCCCWMS
B ANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrate d A/C Refunds
RBADe f
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Re fmaterial
Bus. Inte l
NTS A/c
BEP
CDCCCWMS
B ANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Silo Standardization Optimization Modularity
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Enterprise Architecture Maturity
• Local IT silos
• Peak load sized
• Difficult to scale
• Difficult to change
• Expensive tomanage
• Complexity drivenrisk
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 projectturnaround
• Greater focus onbusiness
PaaS
SaaS
IaaS
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrate d A/C Refunds
RBADe f
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Re fmaterial
Bus. Inte l
NTS A/c
BEP
CDCCCWMS
B ANK
DDDR
1
Data…….
Penalty
Business
IVR
1
FBT PAY GNTS
TRDS
Client
Customs
RRE IPS Integrate d A/C Refunds
RBADe f
PaymentsExcise
CR
PKI
ECI ADD AWA ELS
Client Staff RemoteStaff
TAXAGENTS
GCI
Call Centres
WOC
CCD
TASS
StaffPhone
ComplianceStaff
BOA
Re fmaterial
Bus. Inte l
NTS A/c
BEP
CDCCCWMS
B ANK
DDDR
1
Data…….
Penalty
Business
IVR
1
Security
SFAProduct LMSInv
MGMTB2Bproduct SCM product DBERP MES-Dev
SFASFA-Test
SFA-Stage
Product
ProductERP-StageERP-
ProdMES-Stage
MES-Prod
productDB-
Stage B2B-StageB2B-
Dev
Security Security Security
Pt. to Pt. Integrations
SFAProduct LMSInvMGMT
product SCM product DBERP MES-DevProduct ERP-
Stageproduct
DB-Stage
• Standardizedinterfaces/systems
• Lower license andsupport costs
• Increased utilization ofIT skills
• Reduced IT projecttime/costs/risks
Silo Standardization Optimization Modularity
99
Danairat T.
Enterprise Architecture Maturity Model
Center for Information Center Systems Research (CISR)2009 MIT Sloan CISR – RossSource: Enterprise Architecture as Strategy: Creating a Foundation for Business Execution, J.Ross, P. Weill, D. Robertson, HBS Press, 2006
100
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Enterprise Architecture Maturity Model
ITAr
chite
ctur
e
Ente
rpris
eAr
chite
ctur
e
Center for Information Center Systems Research (CISR)2009 MIT Sloan CISR – RossSource: Enterprise Architecture as Strategy: Creating a Foundation for Business Execution, J.Ross, P. Weill, D. Robertson, HBS Press, 2006
101
Danairat T.
Enterprise Architecture Maturity Model
ITAr
chite
ctur
e
Ente
rpris
eAr
chite
ctur
e
CurrentState
FutureState
Center for Information Center Systems Research (CISR)2009 MIT Sloan CISR – RossSource: Enterprise Architecture as Strategy: Creating a Foundation for Business Execution, J.Ross, P. Weill, D. Robertson, HBS Press, 2006
102
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Digital Roadmap
Current Target
Silo Standards Optimize Modular
Business Services RoadmapBusiness Process Roadmap
Applications Roadmap
Data Roadmap
Technology Roadmap
Danairat T.
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Digital Roadmap
Current Target
หลายหลาย และ
ซาซอน
ไมหลายหลาย
แตยงซาซอน
ไมหลายหลาย
และไมซาซอน
ตอยอด
ตอไปได
Business Services RoadmapBusiness Process Roadmap
Applications Roadmap
Data Roadmap
Technology Roadmap
Danairat T.
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Digital Roadmap
Current Target
Silo Standards Optimize Modular
Business Services RoadmapBusiness Process Roadmap
Applications Roadmap
Data Roadmap
Technology Roadmap
SAMPLES
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Initiatives Projects 2018 2019 2020 2021H1 H2 H1 H2 H1 H2 H1 H2
ExecutiveIntelligence andexternal integration
Data Interoperability
Information Service forBusiness Partner
Dev Stabilization DevOps Standards
Business ProcessOptimization&ApplicationConsolidation
Identify Processes and PMO
Core ProcessesOptimization
Applications Consolidation
Open Data for PPP
Business Intelligence
Digital Platform Cloud, Big Data Platform
Governance Framework
IoT and Social Integration
Network and OfficeAutomation
Digital Transformation Master Plan(DX Master Plan)
Standardization &Optimization Growth
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Appendix
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Big Data Strategy
อ.ดนยรฐ ธนบดธรรมจารLine ID: Danairat
FB: Danairat Thanabodithammachari+668-1559-1446
• Understand Enterprise Analytics Needed• Traditional Business Intelligence• Big Data for Business Analytics• Group Activities
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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 missions2. Identifying Business Services and Objectives3. Identifying BI for Management Level
• Top Business Questions from CMO• Top Business Questions from COO• Top Business Questions from CFO
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Agenda
4. Identifying Operational BI5. 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 ActivitiesWorksheet
• Summary
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Business Analytics and Business Intelligence
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
StatementsBusinessAnalytics
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.
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What is Business Intelligence (BI)?
Business intelligence systems are used to maintain, optimize and streamlinecurrent operations. BI improves and maintains operational efficiency and helpsbusinesses increase organizational productivity. Business intelligence softwareconfers many benefits, notably powerful reporting and data analysiscapabilities. Using BI’s rich visualization mechanisms, managers are able togenerate 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/
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Choosing between Business Intelligence (BI)and Business Analytics (BA)
While superficially similar, the difference between business intelligence vs businessanalytics 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 intelligencemay 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/
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What is Business Analytics (BA)?
Like business intelligence, BA collects and analyzes data, employs predictiveanalytics and generates richly visualized reports, helping identify and address anorganization’s weak points. That’s where similarities end. Business analyticssoftware is used to explore and analyze historical and current data. It utilizesstatistical analysis, data mining and quantitative analysis to identify past businesstrends.
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/
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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 providingactionable solutions to those problems. Business Intelligence software is an excellentsolution for managers who want to improve decision making and understand theirorganization’s productivity, work processes and employees. And, with thatunderstanding, improve their business from the ground up.
Business Analytics (BA)If your organization is a new entity, or in the midst of significant changes, businessanalytics software is a serious contender. BA uses historical data, current information,and projected trends to ensure your business makes the right changes. Businessanalytics is the solution if you want to analyze your company, your market, and yourindustry with the dual goals of optimizing current performance and predictingbusiness 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 andbusiness intelligence can help you take your business where you want it to go.
https://selecthub.com/business-intelligence/business-intelligence-vs-business-analytics/ 115
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Choose the Right Presentation Chart Types
http://img.labnol.org/di/data-chart-type.png
116
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Understand Enterprise AnalyticsNeeded Using Digital Transformation
Reference Model
117
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Digital Transformation Reference Model
“Innovation”“Efficiency”
“Sustainability”
Vision,Mission
Statements
Anal
ytic
sIn
itiat
ives
?Big Data Digital
SecurityCloud118
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Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Vision,Mission
Statements
1. (Re)Identifying your vision and missionsStrategic and Top Decision Making:-- Political and Policy Reports- Economic Reports- Customer Analytic Trends- Technology Trends- Economic Value
119
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Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
Big Data DigitalSecurity
“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
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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.
121
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3. Identifying BI for Management Level
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“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
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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
123
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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?
124
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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
125
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 theycompare with plan?
• What is the expected annual profit/loss based oncurrent marketing and sales forecasts?
• How are forecasts trending against the annual plan?126
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Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
4. Identifying Operational BI
Operational BI:-- Task Tracking Status- Alerts on Progression- Error correction and
recommendation
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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 ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Business Process as a ServiceMore ControlMore Flexible
128
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Key Questions Type in each level of enterprise
Who
How
What
Why
When
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
129
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Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
Statements
5. Identifying BI and BA Platform
BI &BusinessAnalyticsPlatforms :-• Traditional BI• Big Data• Cloud• Digital Security
130
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5.1 Traditional Data Warehouseand Business Intelligence
Platform
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Traditional Data Warehousing and Business Intelligence
Metadata and Logical Data Model / APIs
Data SourcesLayer
Foundation Layer Access LayerStaging Layer Presentation Layer
Data Marts
Operation Level
Management Level
Executive Level
Datawarehouse
Staging DB/ODSOLTP
OLAP
Data Mining
ETL ETL
Application 1
Application 2
DB or Files
Data Mart / Cube
DW Tools BI Tools
132
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5.2 Big Data for BusinessAnalytics Platform
133
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Big Data for Business Analytics Platform
Big Data InfrastructureBig Data Infrastructure
Next BestNext BestAction BI/Report
Parallel Data Processing, Refinery
Ingestion and Acquisition
Distributed Data Store, Data Lake
Monitoring,Resource
Managementand Metadata
Framework
Security andControl
Framework
PredictiveAnalytics
Descriptive/Diagnose Analytics
PrescriptiveAnalytics
Big Data Platform
Big Data Applications
Compute Storage, Network
FraudFraudAnalysis
CyberCyberSecurity
TalentTalentSearch
Staffs Managers PartnersCustomers ExecutivesExperts
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Big Data System Architecture
Storage Server and Network Infrastructure
NoSQL with Maps DB
Application ServerHadoop
HDFS, YARN, Spark, Storn, MRv2,Hive, Mahout, Zookeeper, Mesos,
Etc.
App1 ExecutiveReportsApp2 Advanced
Analytics
Syst
em M
onito
ring
Syst
em S
ecur
ity
Physical Data Center
Access Channels
Staffs Partners ManagersCustomers Executives Experts
InfraPlatformAppsAccess 135
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Descriptive/Diagnostic analytics
Descriptive/Diagnostic analytics answers the question, "What happened in thebusiness?" It looks at data and information to describe the current businesssituation in a way that trends, patterns and exceptions become apparent. Thistakes the form of reports, dashboards, MIS, etc.
mu-sigma.com 136
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Predictive analytics
Predictive analytics answers the question, "What is likely to happen in thefuture?" Here data modeling and forecasting are used to determine futurepossibilities
mu-sigma.com 137
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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 toretain key customers? How can businesses improve their supply chain to enhanceservice levels while reducing costs?
mu-sigma.com
Action!
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Big Data Project - Tracking Worksheet
# Customer Report Name When to use DataProcessingType
Data ProcessFramework
DataCapturingMethod
DataSize/year
DataOwner
1 Prime minister Flooding Status On demand (1-3 hrs) Descriptive Map Reduce WebService (JSONover REST)
400TB RID, GISTDA,Disaster
2 Prime minister Water way report Weekly Predictive Machine Learning Apache Strom 600TB GISTDA, GINFO
3 Prime minister Water management Monthly Prescriptive Deep Learning TensorFlow -Convolution
450TB สสนก, RID,WaterResource
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Big Data People and Team Structure
Big Data ProgramCommittee
ProjectManager
Big DataArchitect Data Scientist Business
Analyst
DataDataIntegrationSpecialist
Developer
Big Data Evangelist
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Big Data Team StructureNo. Roles Description1 Big Data
ProgramCommittee
The Team to develop Big Data initiative and deliver solutionresults
2 Big DataEvangelist
The business evangelist must have a combination of goodcommunication and presentation skills and deep contextualbusiness knowledge, as well as a clear understanding oftechnology in general and big data techniques.
3 ProjectManager
The project manager “owns” the development schedule and isexpected to ensure that the right architects, designers, anddevelopers are brought into the project at the right times.
4 Big DataArchitect
The person who has background in parallel and distributedcomputing architecture. This person is knowledgeable aboutfundamental performance “gotchas” that will impede thespeed, scalability, and extensibility of any application requiringmassive data volumes. 141
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Big Data Team StructureNo. Roles Description5 Data
ScientistThe data scientist combines knowledge of computer science,the use of high-performance applications, and statistics,economics, mathematics, and probabilistic analysis skills.
6 BusinessAnalyst
The person who engages with the business process owners andsolicits their needs and expectations. Business analystswho are able to effectively translate business expectations intospecific data analysis results.
7 DataIntegrationSpecialist
The person who has experience in data extraction,transformation, loading, and data transformations inpreparation for cleansing and delivery to target systems. Seekpeople with experience with data federation and virtualization,data quality, and metadata analysis.
8 ApplicationDeveloper
The technical resources with the right set of skills forprogramming and testing parallel and distributed applications.
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Big Data Project Life Cycle
Big DataPlanning
• 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 DataDevelopment
• 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 andSupport
• Monitor Big Data PlatformAvailability, Utilization andCapacity Planning
• Manage Operation Tasks(Admin. Scripts,Commands), DataCapturing System,Upgrading or Patching
• Manage Service Requestsand Incidents
• System admin. Training• Helpdesk Training• End-User Training
(Analytic Results)
Evaluation
• Adoption Rates for eachanalytics results
• No. of Missing AnalyticResults
• 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
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No. Phases Activities People Deliverables
1 Planning Identify Targeted Users Big Data Program Committee Big Data DiscoveryWorksheet
2 Planning Identify Target Opportunities Big Data Program Committee Big Data DiscoveryWorksheet
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 TypesInformation
5 Planning Identify Data CapturingApproaches
Data Integration Specialist, Data Scientist Data Capturing Information
6 Planning Identify Data Processing andVisualization Planning
Business Analyst, Big Data Architect, DataScientist, Developer
Data Processing Frameworkand User InterfaceSummary
7 Planning Identify Big Data Platform Big Data Architect, Project Manager Big Data Platform Summary
8 Planning Identify Security Corporate Information Security, Big DataArchitect, Project Manager
Security Scope Summary
9 Planning Identify Governance andChange Control forOperation
Internal Control Team, CorporateInformation Security, Big Data Architect,Project Manager
Governance, RACI, ChangeProcedures Summary
10 Planning Identify Phasing Budget andCost
CIO, CFO, Project Manager, BusinessAnalyst
Project InvestmentSummary
Key Activities, People and Deliverables
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No. Phases Activities People Deliverables
1 Development Develop Use Cases Business Users, Business Analyst, Big DataArchitect, Big Data Evangelist
Use Cases Summary
2 Development Develop Requirements Definition Business Users, Business Analyst, Big DataArchitect
Requirements Summary
3 Development Develop Big Data SolutionFramework
Big Data Architect Solution ComponentDiagram
4 Development Develop the Development andTest Environment
Big Data Architect,Data Integration Specialist, Developer
Development and TestEnvironment
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 andVisualization Results
8 Development Manage Assets andConfigurations
Project Manager, Big Data Architect,Corporate Information Security, Head of ITOperation
Assets Inventory andConfigurations ChangeProcedure
Agile Methodology may apply in Big Data Development Phase.
Key Activities, People and Deliverables
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Key Activities, People and DeliverablesNo. Phases Activities People Deliverables
1 Operation andSupport
Monitor Big Data Platform Availability,Utilization and Capacity Planning
IT Operation Team Availability, Utilization andCapacity Planning Report
2 Operation andSupport
Manage Operation Tasks (Admin. Scripts,Commands), Data Capturing System,Upgrading or Patching
IT Operation Team, Big DataArchitect
Schedule or Ad-HocOperation Activities
3 Operation andSupport
Manage Service Requests and Incidents IT Operation Team Service Requests andIncidents Procedures
4 Operation andSupport
System Administration Training Big Data Architect,Data Integration Specialist,Developer, ITAdministration, ITOperation
System Administration andOperation Training Activity
5 Operation andSupport
Helpdesk Training IT Administration, ITOperation, IT Helpdesk
Helpdesk Training Activity
6 Operation andSupport
End-User Training (Analytic Results) Business Analyst, BusinessUsers
End-User Training Activity
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Key Activities, People and Deliverables
No. Phases Activities People Deliverables
1 Evaluation Create Adoption Rates for eachanalytics Results
IT Operation Percent of user adoption
2 Evaluation Create No. of Missing AnalyticResults
Big Data Program Committee No. of Missing AnalyticsReport
3 Evaluation Create No. of Missing DataResults
Big Data Program Committee No. of Missing Data Report
4 Evaluation Create Lost hours per monthResults
Big Data Architect, Data Scientist,Data Integration Specialist
Lost hours per monthReport
5 Evaluation Create Avg. of each AnalyticProcessing and Response TimeResults
Data Integration Specialist, Data Scientist Analytic Processing andResponse Time Report
6 Evaluation Create No. of Technology SystemFailure per month Results
Business Analyst, Big Data Architect, DataScientist, Developer
Technology System Failureper month Report
7 Evaluation Evaluate Activity Conformancewith Policies
Big Data Architect, Project Manager Change Control Log Report
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Big Data Maturity Model
BusinessMonitoringReport
BusinessInsights
BusinessOptimization
All Transaction LogsMonitoring and Summary
Integrate Social Data forBetter Insights
Real-time Data Feed:IoT and Real-timeOperation Actions
148
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Big Data Maturity Model
BusinessMonitoringReport
BusinessInsights
BusinessOptimization
All Transaction LogsMonitoring and Summary
Integrate Social Data forBetter Insights
Real-time Data Feed:IoT and Real-timeOperation Actions
Business Monitoring ReportMine all the transactional data at thelowest levels of detail
149
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Big Data Maturity Model
BusinessMonitoringReport
BusinessInsights
BusinessOptimization
All Transaction LogsMonitoring and Summary
Integrate Social Data forBetter Insights
Real-time Data Feed:IoT and Real-timeOperation Actions
Business Monitoring ReportMine all the transactional data at thelowest levels of detail
Business InsightsIntegrate unstructured data withdetailed structured (transactional) datato provide new metrics and newdimensions against which to monitorand optimize key business processes.
150
Danairat T.
Big Data Maturity Model
BusinessMonitoringReport
BusinessInsights
BusinessOptimization
All Transaction LogsMonitoring and Summary
Integrate Social Data forBetter Insights
Real-time Data Feed:IoT and Real-timeOperation Actions
Business Monitoring ReportMine all the transactional data at thelowest levels of detail
Business InsightsIntegrate unstructured data withdetailed structured (transactional) datato provide new metrics and newdimensions against which to monitorand optimize key business processes.
Business OptimizationLeverage real-time (or low-latency)data feeds to accelerate theorganization's ability to identify and actupon business and marketopportunities in a timely manner.
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Danairat T.
Big Data Maturity Model
BusinessMonitoringReport
BusinessInsights
BusinessOptimization
DataMonetization
BusinessMetamorphosis
All Transaction LogsMonitoring and Summary
Integrate Social Data forBetter Insights
Real-time Data Feed:IoT and Real-timeOperation Actions
Data as a Service:Creating Revenue fromData by Exchange or Trade
Artificial Intelligence forBusiness Sustainability,Value-Set, Passion:Transforming Behavior,Relationship, Culture ,Ecosystem
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Danairat T.
Big Data Maturity Model
Integrate predictive analytics into your key business processes to uncover insightsburied in the massive volumes of detailed structured and unstructured data. (Note:having business users slice and dice the data to uncover insights worked fine whendealing with gigabytes of data, but doesn't work when dealing with terabytes and
petabytes of data.) 153
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 transactingacross a distributed, adaptive, open, social, technical system with collaboration,transparency, constant evolution, self-organization, scalability and sustainability. 154
Danairat T.
Summary
Digital Initiatives
Digital Platform
Business Services &Business Objectives
NewServices
OptimizedServices
RetiredServices
CEO
CFOCOOCMO
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Customers, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
Digital Organization
Business Process as a ServiceMore ControlMore Flexible
Vision,Mission
StatementsBusinessAnalytics
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
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Danairat T.
อ.ดนยรฐ ธนบดธรรมจาร+668-1559-1446 Line ID: danairat
FB: https://www.facebook.com/tdanairat
Together we can!
Thank you.
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