Upload
others
View
2
Download
0
Embed Size (px)
Citation preview
Danairat T.
The Essential of Data Insights for ExecutivesThe Strategic Management Framework
1
Agenda
• Today Organization Alignment• What is Business Intelligence (BI)?• What is Business Analytics (BA)?• Example Cases• Big Data Project Management• Big Data Maturity Model• Big Data Governance• Summary
2
Introduction to Big Data 3Vs
Volume
Variety Velocity
DB TableDelimited Text
XML, HTML
Free Form TextImage, Music, VDO, Binary
BatchNear real time
Real time
GBTBPB
XB
ZB
3
Introduction to Big Data 5Vs
luizricardo.org4
Startups and Big Data
5
ApplicationAreas
SmartCities
SmartEnvironme
ntSmartEnergy
SmartAgriculture E-Health Retail Logistics Industrial
Control
Internet of Things
Monika, 2015
6
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. Averagehousehold uses 300 products in ayear
independent.co.uk7
Retails Store Use Cases
Store Layout ProfitsCustomer Density
independent.co.uk8
การเตอืนภยัพบิตั ิ
Sensor ปรมิาณนําฝน นําในเขอืน ปรมิาตรเขอืน, แสดงแนวโนม้สภาวะนําท่วม Nearly Real-Time
9
1. B
lood
Pre
ssur
eH
eart
rate
Tra
ckin
g
4. H
ealth
Tra
ckin
gH
ealth
che
ck u
p re
cord
s
1. B
lood
Pre
ssur
eSl
eep
Trac
king
4. H
ealth
Tra
ckin
gH
ealth
che
ck u
p re
cord
s
3. Public/PrivateHospital executesHealth Program
integratedEHR/EMR Systems
2. Governmentcreates/revisesNational Health
Program
1. B
lood
Pre
ssur
eC
oach
Tra
ckin
g
4. H
ealth
Tra
ckin
gH
ealth
che
ck u
p re
cord
s
Big Data
Cloud
SuggestedHealth Improvement
(Secured Personal Access)
Government Officer
Doctor
Nurse
Officer
IntegratedMedical Device
IntegratedMedical Device
IntegratedMedical Device
IntegratedMedical Device
IntegratedMedical Device
Healthcare Big Data
10
Opportunity and Market Outlook
Source: Machina Research 11
จะทําโครงการ Big Data อยา่งไร และจะเรมิตน้Big Data ทจีดุไหนดี
Digital PlatformBig Data Digital
Security
“Innovation”“Efficiency”
“Sustainability”
Cloud
Vision,Mission
Statements
12
จะทําโครงการ Big Data อยา่งไร และจะเรมิตน้Big Data ทจีดุไหนดี
Digital PlatformBig Data Digital
Security
“Innovation”“Efficiency”
“Sustainability”
Cloud
Vision,Mission
Statements
Danairat T.
จะเรมิตน้BigData อยา่งไร
13
จะทําโครงการ Big Data อยา่งไร และจะเรมิตน้Big Data ทจีดุไหนดี
Digital PlatformBig Data Digital
Security
“Innovation”“Efficiency”
“Sustainability”
Cloud
Vision,Mission
Statements
กระบวนการทํางาน
กฎระเบยีบ
ขอ้มลูภายใน
งานดว่น ขอ้มลูภายนอก
โครงสรา้งและ
ภาระกจิ
14
Choose the Right Data Visualization
http://img.labnol.org/di/data-chart-type.png
15
What is Business Intelligence (BI)?
Business intelligence systems are used to maintain, optimize andstreamline current operations. BI improves and maintains operationalefficiency and helps businesses increase organizational productivity.Business intelligence software confers many benefits, notably powerfulreporting and data analysis capabilities. Using BI’s rich visualizationmechanisms, managers are able to generate intuitive, readable reportsthat 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/16
What is Business Analytics (BA)?
Like business intelligence, BA collects and analyzes data, employspredictive analytics and generates richly visualized reports, helpingidentify and address an organization’s weak points. That’s where similaritiesend. Business analytics software is used to explore and analyze historicaland current data. It utilizes statistical analysis, data mining andquantitative analysis to identify past business trends.
Popular business analytics solutions include; SAP Business Analytics Suite, Pentaho BA, Birst BI and Tableau BIg Data Analytics.
https://selecthub.com/business-intelligence/business-intelligence-vs-business-analytics/17
BI / Descriptive / Diagnostic analytics
Descriptive/Diagnostic analytics answers the question, "Whathappened in the business?" It looks at data and information todescribe the current business situation in a way that trends,patterns and exceptions become apparent. This takes the formof reports, dashboards, MIS, etc.
mu-sigma.com18
BA / Predictive analytics
Predictive analytics answers the question, "What is likely tohappen in the future?" Here data modeling and forecasting areused to determine future possibilities
mu-sigma.com19
BA / Prescriptive analytics
Prescriptive analytics is the combination of the above to provideanswers to the "So what?" and the "Now what?" For example,what should a business do to retain key customers? How canbusinesses improve their supply chain to enhance service levelswhile reducing costs?
mu-sigma.com
Action!
20
จะทําโครงการ Big Data อยา่งไร และจะเรมิตน้Big Data ทจีดุไหนดี
Digital PlatformBig Data Digital
Security
“Innovation”“Efficiency”
“Sustainability”
Cloud
Vision,Mission
Statements
Danairat T.
ใชเ้ทคโนโลยีใหส้อดคลอ้งกับเป้าหมาย
องคก์ร
21
ลําดบัขนัและความสอดคลอ้งดา้นเทคโนโลยี
โครงการด้านดจิิทัล
โครงสร้างพืนฐานด้านดิจิทลั
ภาระกิจNew
ServicesOptimizedServices
RetiredServices
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Services, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
โครงสร้างการทํางาน
กระบวนการทํางานและระเบียบการทํางานMore ControlMore Flexible
Vision,Mission
Statements
22
ความตอ้งการ Business Analytics และ Business Intelligence
ภาระกิจNew
ServicesOptimizedServices
RetiredServices
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Services, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
โครงสร้างการทํางาน
กระบวนการทํางานและระเบียบการทํางานMore ControlMore Flexible
Vision,Mission
StatementsBusinessAnalytics
BusinessIntelligence
• 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
• Data Lake• DWH
โครงการด้านดจิิทัล
โครงสร้างพืนฐานด้านดิจิทลั
23
Choosing between Business Intelligence (BI) andBusiness Analytics (BA)
While superficially similar, the difference between business intelligence vsbusiness analytics is clear:- BI uses past and current data to optimize the present for current
success.- BA uses the past and analyzes the present to prepare businesses for the
future.
Choosing the solution for your business depends on your aims.- If you are satisfied with your business model as a whole and mainly wish to
improve operations, increase efficiency and meet organizational goals,business intelligence may be an optimal solution.
- If you intend to change your business model and need to know where tostart, business analytics might be the best option.
https://selecthub.com/business-intelligence/business-intelligence-vs-business-analytics/
24
Choosing between Business Intelligence (BI) andBusiness 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 and businessintelligence can help you take your business where you want it to go.
https://selecthub.com/business-intelligence/business-intelligence-vs-business-analytics/ 25
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.
26
Big Data AnalyticsTechnology Platforms
27
Big Data Architecture
Big Data InfrastructureBig Data Infrastructure
Next Best Action BI/Report
Parallel Data Processing, Refinery
Ingestion and Acquisition
Distributed Data Store, Data Lake
Monitoring, ResourceManagement and
Metadata Framework
Security and ControlFramework
Predictive AnalyticsDescriptive/Diagnose Analytics Prescriptive Analytics
Big Data Platform
Big Data Applications
Compute Storage, Network
Fraud Analysis Cyber Security Talent Search
Staffs Managers PartnersCitizen ExecutivesExperts
28
Big Data System Implementation Architecture
Staffs Partners ManagersCustomers Executives Experts
Compute, Storage and Network Infrastructure
NoSQL with Maps DBCassandra, MongoDB, Neo4j
Data Analytics FrameworkR, Statwing, Pentaho, RapidMiner, Openrefine, DataCleaner, HIPI, Drill
HadoopHDFS, YARN, Spark, Storn, MRv2, Hive,
Mahout, Zookeeper, Mesos, Etc.
App1 ExecutiveReportsApp2 Advanced
Analytics
Syst
em M
onito
ring
Syst
em S
ecur
ity
Physical Building and Facility
Access Channels
Infra Platform Apps Access29
Big Data Project Life Cycle
Big DataPlanning
1. Identify Targeted Users2. Identify Target Opportunities / Key
Measurements3. Identify Data Sources/Types4. Identify Data Capturing Approaches5. Identify Data Processing and Visualization
Planning6. Identify Big Data Platform7. Identify Security8. Identify Governance and Change Control
for Operation9. Identify Team Structure10. Identify Phasing, Budget and Cost
Big DataDevelopment
1. Develop Use Cases2. Develop Requirements Definition3. Develop Big Data Solution
Framework4. Develop the Development and Test
Environment5. Develop Data Capture6. Develop Analytics7. Integrate Visualization8. Manage Assets and Configurations
Operation andSupport
1. Monitor Big Data PlatformAvailability, Utilization andCapacity Planning
2. Manage Operation Tasks (Admin.Scripts, Commands), DataCapturing System, Upgrading orPatching
3. Manage Service Requests andIncidents
4. System admin. Training5. Helpdesk Training6. End-User Training (Analytic
Results)
Evaluation
1. Adoption Rates for each analyticsresults
2. No. of Missing Analytic Results3. No. of Missing Data4. Lost hours per month5. Avg. of each Analytic Result
Response Time6. No. of Technology System Failure per
month7. Evaluate Activity Conformance with
Policies
30
Big Data People and Team Structure
Big Data ProgramCommittee
ProjectManager
Big DataArchitect Data Scientist Business
AnalystData
IntegrationSpecialist
Developer
Big DataEvangelist
31
Big Data Team Structure
No. Roles Description1 Big Data Program
CommitteeThe Team to develop Big Data initiative and deliver solution results
2 Big Data Evangelist The business evangelist must have a combination of goodcommunication and presentation skills and deep contextual businessknowledge, as well as a clear understanding of technology ingeneral and big data techniques.
3 Project Manager 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 Data Architect The person who has background in parallel and distributedcomputing architecture. This person is knowledgeable aboutfundamental performance “gotchas” that will impede the speed,scalability, and extensibility of any application requiring massive datavolumes.
32
Big Data Team Structure
No. Roles Description5 Data Scientist The data scientist combines knowledge of computer science, the
use of high-performance applications, and statistics, economics,mathematics, and probabilistic analysis skills.
6 Business Analyst The person who engages with the business process owners andsolicits their needs and expectations. Business analystswho are able to effectively translate business expectations intospecific data analysis results.
7 Data Integration Specialist The person who has experience in data extraction, transformation,loading, and data transformations in preparation for cleansing anddelivery to target systems. Seek people with experience with datafederation and virtualization, data quality, and metadata analysis.
8 Application Developer The technical resources with the right set of skills for programmingand testing parallel and distributed applications.
33
Big Data Project Life Cycle
Big DataPlanning
1. Identify Targeted Users2. Identify Target Opportunities / Key
Measurements3. Identify Data Sources/Types4. Identify Data Capturing Approaches5. Identify Data Processing and
Visualization Planning6. Identify Big Data Platform7. Identify Security8. Identify Governance and Change
Control for Operation9. Identify Team Structure10. Identify Phasing, Budget and Cost
Big DataDevelopment
1. Develop Use Cases2. Develop Requirements Definition3. Develop Big Data Solution
Framework4. Develop the Development and
Test Environment5. Develop Data Capture6. Develop Analytics7. Integrate Visualization8. Manage Assets and
Configurations
Operation andSupport
1. Monitor Big Data PlatformAvailability, Utilization andCapacity Planning
2. Manage Operation Tasks(Admin. Scripts, Commands),Data Capturing System,Upgrading or Patching
3. Manage Service Requests andIncidents
4. System admin. Training5. Helpdesk Training6. End-User Training (Analytic
Results)
Evaluation
1. Adoption Rates for each analyticsresults
2. No. of Missing Analytic Results3. No. of Missing Data4. Lost hours per month5. Avg. of each Analytic Result
Response Time6. No. of Technology System Failure
per month7. Evaluate Activity Conformance with
Policies
34
No. Phases Activities People Deliverables1 Planning Identify Targeted Users Big Data Program Committee Big Data Discovery Worksheet
2 Planning Identify Target Opportunities Big Data Program Committee Big Data Discovery Worksheet
3 Planning Identify Team Structure Big Data Program Committee Team Organization Chart
4 Planning Identify Data Sources/Types Big Data Architect, Data Scientist,Data Integration Specialist
Data Sources Types Information
5 Planning Identify Data 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 Framework andUser Interface Summary
7 Planning Identify Big Data Platform Big Data Architect, Project Manager Big Data Platform Summary
8 Planning Identify Security Corporate Information Security, Big Data Architect,Project Manager
Security Scope Summary
9 Planning Identify Governance and ChangeControl for Operation
Internal Control Team, Corporate InformationSecurity, Big Data Architect, Project Manager
Governance, RACI, ChangeProcedures Summary
10 Planning Identify Phasing Budget and Cost CIO, CFO, Project Manager, Business Analyst Project Investment Summary
Key Activities, People and Deliverables
35
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 Solution Framework Big Data Architect Solution Component Diagram
4 Development Develop the Development and TestEnvironment
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 and VisualizationResults
8 Development Manage Assets and Configurations Project Manager, Big Data Architect, CorporateInformation Security, Head of IT Operation
Assets Inventory andConfigurations Change Procedure
Agile Methodology may apply in Big Data Development Phase.
Key Activities, People and Deliverables
36
Key Activities, People and Deliverables
No. Phases Activities People Deliverables
1 Operation andSupport
Monitor Big Data Platform Availability, Utilizationand Capacity Planning
IT Operation Team Availability, Utilization andCapacity Planning Report
2 Operation andSupport
Manage Operation Tasks (Admin. Scripts,Commands), Data Capturing System, Upgradingor Patching
IT Operation Team, Big DataArchitect
Schedule or Ad-Hoc OperationActivities
3 Operation andSupport
Manage Service Requests and Incidents IT Operation Team Service Requests and IncidentsProcedures
4 Operation andSupport
System Administration Training Big Data Architect,Data Integration Specialist,Developer, IT Administration, ITOperation
System Administration andOperation Training Activity
5 Operation andSupport
Helpdesk Training IT Administration, IT Operation, ITHelpdesk
Helpdesk Training Activity
6 Operation andSupport
End-User Training (Analytic Results) Business Analyst, Business Users End-User Training Activity
37
Key Activities, People and Deliverables
No. Phases Activities People Deliverables1 Evaluation Create Adoption Rates for each analytics
ResultsIT Operation Percent of user adoption
2 Evaluation Create No. of Missing Analytic Results Big Data Program Committee No. of Missing Analytics Report
3 Evaluation Create No. of Missing Data Results Big Data Program Committee No. of Missing Data Report
4 Evaluation Create Lost hours per month Results Big Data Architect, Data Scientist,Data Integration Specialist
Lost hours per month Report
5 Evaluation Create Avg. of each Analytic Processingand Response Time Results
Data Integration Specialist, Data Scientist Analytic Processing and ResponseTime Report
6 Evaluation Create No. of Technology System Failureper month Results
Business Analyst, Big Data Architect, Data Scientist,Developer
Technology System Failure permonth Report
7 Evaluation Evaluate Activity Conformance withPolicies
Big Data Architect, Project Manager Change Control Log Report
38
Big Data Project Worksheet
# Customerผู้ใช้รายงาน
Report Nameชือรายงาน
When to useใช้เมือไหร่
DataProcessing Typeวิธีการประมวลผล
DataProcessFramework
DataCapturing Method
DataNameDataSize/year
DataOwnerเจ้าของข้อมูล
1 Prime minister Flooding Status On demand (1-3 hrs) Descriptive Map Reduce WebService(JSON overREST)
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 FTP 450TB สสนก, RID,WaterResource
Data Visualization Data Science Data Engineer
1. Plan
2. Execute39
Big Data Project Worksheet
# Customerผู้ใช้รายงาน
Report Nameชือรายงาน
When to useใช้เมือไหร่
DataProcessing Typeวิธีการประมวลผล
DataProcessFramework
DataCapturing Method
DataNameDataSize/year
DataOwnerเจ้าของข้อมูล
1 Prime minister Flooding Status On demand (1-3 hrs) Descriptive Map Reduce WebService(JSON overREST)
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 FTP 450TB สสนก, RID,WaterResource
Data Visualization Data Science Data Engineer
1. Plan
2. Execute
Data Visualization SLA Data Science SLA Data Engineer SLA
สาํคญั
40
Big Data Maturity Model
41
Big Data Maturity Model
BusinessMonitoringReport
BusinessInsights
BusinessOptimization
All Transaction LogsMonitoring andSummary
Integrate Social Data forBetter Insights
Real-time Data Feed:IoT and Real-timeOperation Actions
42
Big Data Maturity Model
BusinessMonitoringReport
BusinessInsights
BusinessOptimization
All Transaction LogsMonitoring andSummary
Integrate Social Data forBetter Insights
Real-time Data Feed:IoT and Real-timeOperation Actions
Business Monitoring ReportMine all the transactional dataat the lowest levels of detail
43
Big Data Maturity Model
BusinessMonitoringReport
BusinessInsights
BusinessOptimization
All Transaction LogsMonitoring andSummary
Integrate Social Data forBetter Insights
Real-time Data Feed:IoT and Real-timeOperation Actions
Business Monitoring ReportMine all the transactional dataat the lowest levels of detail
Business InsightsIntegrate unstructured datawith detailed structured(transactional) data to providenew metrics and newdimensions against which tomonitor and optimize keybusiness processes.
44
Big Data Maturity Model
BusinessMonitoringReport
BusinessInsights
BusinessOptimization
All Transaction LogsMonitoring andSummary
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)data to provide new metrics andnew dimensions against which tomonitor and optimize key businessprocesses.
Business OptimizationLeverage real-time (or low-latency)data feeds to accelerate theorganization's ability to identify andact upon business and marketopportunities in a timely manner.
45
Big Data Maturity Model
BusinessMonitoringReport
BusinessInsights
BusinessOptimization
DataMonetization
BusinessMetamorphosis
All Transaction LogsMonitoring andSummary
Integrate Social Data forBetter Insights
Real-time Data Feed:IoT and Real-timeOperation Actions
Data as a Service:Creating Revenue fromData by Exchange orTrade
Artificial Intelligencefor BusinessSustainability,Value-Set, Passion:TransformingBehavior,Relationship, Culture, Ecosystem
46
Big Data Maturity Model
Integrate predictive analytics into your key business processes to uncoverinsights buried in the massive volumes of detailed structured and unstructureddata. (Note: having business users slice and dice the data to uncover insights
worked fine when dealing with gigabytes of data, but doesn't work whendealing with terabytes and petabytes of data.) 47
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. 48
Big Data Governance
49
Data Governance
Data governance is the specification ofdecision rights and an accountabilityframework to encourage desirablebehavior in the valuation, creation, storage,use, archival, and deletion of data andinformation.• common data definition• data standard format• data integration strategy
50
Big Data Governance
Tom Plunkett; Brian Macdonald 51
Team working
Organization
Direction
Discovering the Data
52
Operation Team
Head of Business Units
Executives
Discovering the Data
Master Data
Executive Decision Data
Transactional Data
53
Big Data Governance WorksheetNo.
Type of Data(Master/Transactional/SummaryData)
DataName
Owner Used byCriticalBusinessService (Y/N)
Volume(MB/GB/TB)
Varieties ofTypes(Text, XML,JSON, Image,Sound, VDO,etc.)
Velocity(How fastdatachange inminutes)
ChangeControl(Y/N),ChangeProcedure
CurrentIssues
54
Business Analytics และ Business Intelligence
ภาระกิจNew
ServicesOptimizedServices
RetiredServices
Big Data DigitalSecurity
“Innovation”“Efficiency”
“Sustainability”
Cloud
Data Monetization
New Services, Channels
IoT, Smart Devices
Business ProcessOptimization/Outsourcing
Smart Workforce
EnterpriseMetamorphosis
โครงสร้างการทํางาน
กระบวนการทํางานและระเบียบการทํางานMore ControlMore Flexible
Vision,Mission
StatementsBusinessAnalytics
BusinessIntelligence
• 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
• Data Lake• DWH
โครงการด้านดจิิทัล
โครงสร้างพืนฐานด้านดิจิทลั
55
Thank you.
56