D BD S The Digital Transformation Series Digital ... · organization and revise business processes with related policies and adopt new technologies into cross-function business units

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

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Information Technologyvs.

Digital Technology

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Digital Business Maturity

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ApplicationAreas

Smart Cities SmartEnvironment

SmartEnergy

SmartAgriculture E-Health Retail Logistics Industrial

Control

Internet of Things

Monika, 20155

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New Digital Touch PointsNot only application software

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Smart Farming

Monika, 20157

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Drones will continue torevolutionize photographyand videography but real

innovation will derive fromutility in vertical

applications such asdelivery, care, exploration,

etc.

Image Credit: Alec Momont8

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Mixed Reality

Image via MagicLeap

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3D Printing

suefeng.com/blog/3d-printing-and-additive-manufacturing/

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Smart Home

Monika, 201511

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Smart Cars

Monika, 201512

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Smart Healthcare

Monika, 201513

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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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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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Retails Store Use Cases

Store Layout ProfitsCustomer Density

independent.co.uk

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การเตอนภยพบต Sensor ปรมาณนาฝน นาในเขอน ปรมาตรเขอน, แสดงแนวโนมสภาวะนาทวม Nearly Real-Time

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Outbreak with Early Detection

Management of Outbreak with Early Detection

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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

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p re

cord

s

Big Data

Cloud

SuggestedHealth Improvement

(Secured Personal Access)

Government Officer

Doctor

Nurse

Officer

Integrated MedicalDevice





แนวทางประชารฐ กบ HealthcareBig Data

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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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FinTech Revolution

MARIUSZ OŻGA, 2017

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FinTech Revolution

MARIUSZ OŻGA, 2017

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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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FinTech Priorities and Technologies

MARIUSZ OŻGA, 2017

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FinTech StartupsUnlocked Bank Features

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Blockchain Technology

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Blockchain History

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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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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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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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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

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Digital Technologies in Digital Government

https://blogs.opentext.com/keep-calm-and-carry-on/

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Digital Business Maturity

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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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Digital Transformation Reference Model

“Innovation”“Efficiency”


Vision,Mission

Statements

Digi

tal

Initi

ativ

es?

Big Data DigitalSecurityCloud

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Digital Platform


NewServices

OptimizedServices

RetiredServices

Big Data DigitalSecurity



Cloud

Vision,Mission

Statements


The Business Services andBusiness Objectives

• New Services• Optimized Services• Retired Services

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Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud


Vision,Mission

Statements

Capabilities Definition• Knowledge• Experiences• Skills• Characters• Behavior

Organizations need to beestablished after identifiedcapabilities andfunctions requiredfrom manned andunmannedworkforce

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Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization

New Customers, Channels

IoT, Smart Devices

Business ProcessOptimization/Outsourcing

Smart Workforce

EnterpriseMetamorphosis


Business Process as a ServiceMore ControlMore Flexible

Vision,Mission

Statements


Business processesand digital touchpoints need to bedesigned together.

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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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Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




Vision,Mission

Statements


DigitalTechnology

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What is Cloud computing?

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What is Big data?

http://www.itpro.co.uk/business-strategy/28163/what-is-big-data-analytics

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Digital Security Overview

http://www.esecurityto.com

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2.Skillset

1.Mindset

3.Toolset

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




Vision,Mission

Statements

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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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ประเดนปญหาดานการทางานและปญหาดานเทคโนโลย

ปญหาดานเทคโนโลย- ปญหาดานการเชอมโยงขอมลในระหวางหนวยงาน

- ปญหาดานไอทแอปพลเคชนใชยากเกนไป, หนาจอชา

- ปญหาดานเครอขายไมทวถง- ปญหาดานอปกรณดานเทคโนโลยทใชหนางาน

- ปญหาดานการรกษาความปลอดภยของระบบงาน

ปญหาดานการทางาน- ปญหาดานกฎระเบยบทยงยาก

- กระบวนการทางานซาซอน ลาชา- ขาดการตดตาม และการควบคม

- คนขาดความร ประสบการณ และทกษะการทางาน

- ขาดแรงจงใจในการทางาน

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Who

How

What

Why

When

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




Vision,Mission

Statements

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Who

How

What

Why

When

Digital Initiatives

Digital Platform

NewServices

OptimizedServices

RetiredServices




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce


Business Process ModularityMore ControlMore Flexible

Vision,Mission

Statements

Manned and unmannedworkforce ecosystems


Digital Network Ecosystem

Win-Win business

New landscape drives new vision

Digitaltouchpoints

Technologies 48

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Design Thinking,PESTLE, SWOT

Service Innovation,Value Creation

Organization Agility,Change Management

PMBOK,BPM,DMBOK

ITIL

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




Vision,Mission

Statements

aa a

with other frameworks

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Digital Transformation Reference Modelwith TOGAF ADM framework

BusinessArchitecture

App & DataArchitecture

TechnologyArchitecture

ArchitectureVision

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




Vision,Mission

Statements

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Digital Transformation Reference Modelwith Balanced Scorecard framework

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




Vision,Mission

Statements

Learning &Growth

InternalProcessCustomer FinancialFinancial

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Digital Transformation Reference Modelwith Business Sustainability framework

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




Vision,Mission

Statements

Revenue RiskCost

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BusinessCapability

DigitalPlatform& Operation

BusinessDirection

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce


Digital Team Ecosystem

Business Process ModularityControlCollaboration

Vision,Mission

Statements

You and your networks

1

2

3

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2.Skillset

1.Mindset

3.Toolset

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




Vision,Mission

Statements

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Digital Touch points

Digital Platform


NewServices

OptimizedServices

RetiredServices

Big Data Digital Security



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

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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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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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Digital Transformation towards Sustainability

3 CreatingCapabilities

4. IdentifyingWorkingModel withDigitalTouchpoints

5. ApplyingTechnologyPlatforms

1. Redefine Vision

2. Creating CoreValues and Flagships

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce


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


NewServices

OptimizedServices

RetiredServices

CEO

CFO

COO

CMO

BigData

DigitalSecurity

“Innovation”

“Efficiency”


Cloud

D ata M onetization

NewCustomers,Channels

IoT, Smart D evices

Business ProcessOptimization/Outsou

rcing

Smart Workforce

EnterpriseM etamorphosis


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


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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


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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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Quick build and difficult to scaleDifficult to apply security

Design for scale and maintainSecure architecture for growth

VS.

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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


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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Core Services

Enterprise Information Management

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RegulatoryCompliance

CorporateAdmin.Core Services


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Insightand

Monitoring

CitizenRelationshipManagement




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Insightand

Monitoring




SystemMonitoring

andManagement

Security/Auditing

andIdentity

Management

Enterprise Infrastructure


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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


- Innovation-Promotion-Research


- 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


CorporateAdmin.

Core Services

SystemMonitoring

andManagement

Security/Auditing

andIdentity

Management

Enterprise Infrastructure


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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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


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


RBADe f

PaymentsExcise

CR

PKI

ECI ADD AWA ELS


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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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







Rationalization• จดกลมกระบวนการทางาน และ ทรพยากรไอท

• มมาตรฐานในการรบสงขอมล

• ประหยดคาใชจายดาน SW Licenseและ support

• ลดตนทนดาน ITprojecttime/costs/risks

FBT PAY GNTS

TRDS

Client

Customs


RBADe f

PaymentsExcise

CR

PKI

ECI ADD AWA ELS


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


RBADe f

PaymentsExcise

CR

PKI

ECI ADD AWA ELS


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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Security

SFAProduct LMSInv


SFASFA-Test

SFA-Stage

Product


ProdMES-Stage

MES-Prod

productDB-

Stage B2B-StageB2B-

Dev





Stageproduct

DB-Stage







Rationalization • ตดกระบวนการทางานทซาซอน

• ลดทรพยากรทางไอททไมจาเปน

• ผลตบรการดานไอทได เรวขน

• เพมความปลอดภยดานไอท

• จดกลมกระบวนการทางาน และ ทรพยากรไอท




FBT PAY GNTS

TRDS

Client

Customs


RBADe f

PaymentsExcise

CR

PKI

ECI ADD AWA ELS


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


RBADe f

PaymentsExcise

CR

PKI

ECI ADD AWA ELS


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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Security

SFAProduct LMSInv


SFASFA-Test

SFA-Stage

Product


ProdMES-Stage

MES-Prod

productDB-

Stage B2B-StageB2B-

Dev





Stageproduct

DB-Stage







IT-as-a-ServiceRationalization • แบงกลมบรการทางดานไอทโดยมงการตอยอดบรการใหมๆ ใหเรวทสด

• ผลตบรการไดเรว และปลอดภย

• การวางแผนทาง ITทาควบคไปกบการวางแผนทางธรกจ

• เจาหนาทไอททางานไดเตมประสทธภาพ

• ตดกระบวนการทางานทซาซอน

• ลดทรพยากรทางไอททไมจาเปน

• ผลตบรการดานไอทได เรวขน

• เพมความปลอดภยดานไอท

• จดกลมกระบวนการทางาน และ ทรพยากรไอท




PaaS

SaaS

IaaS

FBT PAY GNTS

TRDS

Client

Customs


RBADe f

PaymentsExcise

CR

PKI

ECI ADD AWA ELS


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


RBADe f

PaymentsExcise

CR

PKI

ECI ADD AWA ELS


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


RBADe f

PaymentsExcise

CR

PKI

ECI ADD AWA ELS


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


RBADe f

PaymentsExcise

CR

PKI

ECI ADD AWA ELS


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


SFASFA-Test

SFA-Stage

Product


ProdMES-Stage

MES-Prod

productDB-

Stage B2B-StageB2B-

Dev





Stageproduct

DB-Stage

• Standardizedinterfaces/systems

• Lower license andsupport costs

• Increased utilization ofIT skills

• Reduced IT projecttime/costs/risks

Silo Standardization Optimization Modularity

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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

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ITAr

chite

ctur

e

Ente

rpris

eAr

chite

ctur

e


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ITAr

chite

ctur

e

Ente

rpris

eAr

chite

ctur

e

CurrentState

FutureState


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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



Data Roadmap

Technology Roadmap

Danairat T.

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Digital Roadmap

Current Target

Silo Standards Optimize Modular



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


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




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.


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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.


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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

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Understand Enterprise AnalyticsNeeded Using Digital Transformation

Reference Model

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Vision,Mission

Statements

Anal

ytic

sIn

itiat

ives

?Big Data Digital

SecurityCloud118

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Digital Platform


NewServices

OptimizedServices

RetiredServices




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

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Digital Platform


NewServices

OptimizedServices

RetiredServices




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.

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3. Identifying BI for Management Level

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud


Vision,Mission

StatementsManagement BI:-• Promotion Impact Report• Channel Productivity• Operational Efficiency• Profit and Loss Report• Compliance Reports• Internal Policy Adoption

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• 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

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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?

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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

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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


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




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


Smart Workforce



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Key Questions Type in each level of enterprise

Who

How

What

Why

When

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




Vision,Mission

Statements

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Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




Vision,Mission

Statements

5. Identifying BI and BA Platform

BI &BusinessAnalyticsPlatforms :-• Traditional BI• Big Data• Cloud• Digital Security

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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

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5.2 Big Data for BusinessAnalytics Platform

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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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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.


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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


Manage Operation Tasks (Admin. Scripts,Commands), Data Capturing System,Upgrading or Patching

IT Operation Team, Big DataArchitect

Schedule or Ad-HocOperation Activities


Manage Service Requests and Incidents IT Operation Team Service Requests andIncidents Procedures


System Administration Training Big Data Architect,Data Integration Specialist,Developer, ITAdministration, ITOperation

System Administration andOperation Training Activity


Helpdesk Training IT Administration, ITOperation, IT Helpdesk

Helpdesk Training Activity


End-User Training (Analytic Results) Business Analyst, BusinessUsers

End-User Training Activity

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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

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BusinessInsights





Business Monitoring ReportMine all the transactional data at thelowest levels of detail

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BusinessInsights






Business InsightsIntegrate unstructured data withdetailed structured (transactional) datato provide new metrics and newdimensions against which to monitorand optimize key business processes.

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BusinessInsights






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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BusinessInsights


DataMonetization

BusinessMetamorphosis




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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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

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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

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Summary

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO




Cloud

Data Monetization


IoT, Smart Devices


Smart Workforce




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

155

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อ.ดนยรฐ ธนบดธรรมจาร+668-1559-1446 Line ID: danairat

FB: https://www.facebook.com/tdanairat

Together we can!

Thank you.

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Documents

D BD S The Digital Transformation Series Digital ... · organization and revise business processes with related policies and adopt new technologies into cross-function business units