Vision,Statements O R N Business Services & S Business ...€¦ · Danairat T. • The Internet of Things (IoT) is the network of physical objects that contain embedded technology

Danairat T.

อ.ดนยัรฐั ธนบดธีรรมจารี+668-1559-1446 Line ID: danairatFB: www.facebook.com/tdanairat

Part 1 Internet of ThingsPart 2 Digital Transformation Strategic Framework

- Steps of Digital Transformation- Business Service Analysis Worksheet- Enterprise Repository

Internet of ThingsThe Digital Transformation

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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Part 1

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ApplicationAreas

Smart Cities SmartEnvironment

SmartEnergy

SmartAgriculture E-Health Retail Logistics Industrial

Control

Internet of Things

Monika, 2015 3

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• The Internet of Things (IoT) is the network ofphysical objects that contain embedded technologyto communicate and sense or interact with theirinternal states or the external environment.

What is IoT?

http://www.gartner.com/it-glossary/internet-of-things/

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IoT Architecture

https://techbeacon.com/4-stages-iot-architecture

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• IoT has evolved from the convergence of– Wireless technologies– Micro-electromechanical systems (MEMS)– Microservices– Internet

IoT Technologies

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Wireless Technologies (1)WiFi

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Wireless Technologies (2)WiMAX

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Bluetooth technology

http://stg.dotemirates.com/ar/details/3932968?from=dot

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IoT Wireless Technology

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• Performance– Low Bandwidth– High Error Rate

• Security– Broadcast signal– Easy to be interfered by other sources

Issues of Wireless Technology

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Wireless Technology SummaryBa

ndw

idth

Range

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MicroElectroMechanical System(MEMS) (1)

• A MEMS(microelectromechanicalsystem) is a miniaturemachine that has bothmechanical and electroniccomponents.

• The physical dimension ofa MEMS can range fromseveral millimeters to lessthan one micrometer.

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• The functional elements ofMEMS are miniaturizedstructures, sensors,actuators, andmicroelectronics.

• The most notable elementsare the microsensors andmicroactuators.

MicroElectroMechanical System(MEMS) (2)

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• Microservice architecture - is a variant of the service-oriented architecture (SOA) architectural style thatstructures an application as a collection of loosely

coupled services.• Services should be fine-grained and

the protocols should be lightweight.

MicroServices (1)

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MicroServices (2)

MicroServices Architecture Pattern

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MicroServices (3)

MicroServices Architecture Pattern

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TCP/IP Stack

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IoT Stack

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IoT Example Cases

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New Digital Touch PointsNot only application software

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Smart Farming

Monika, 2015 22

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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 Momont 23

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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, 2015 26

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Smart Cars

Monika, 2015 27

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Smart Healthcare

Monika, 201528

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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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การเตอืนภยัพบิตั ิSensor ปรมิาณนําฝน นําในเขอืน ปรมิาตรเขอืน, แสดงแนวโนม้สภาวะนําทว่มNearly Real-Time

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Outbreak with Early Detection

Management of Outbreak with Early Detection

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Connected Health

ประชาชนแข็งแรง

รา้นขายยา

โรงพยาบาลและคลนีกิ

แนะนําออกกําลงักาย และการพกัผอ่น

การเลอืกซอืยา

ขอ้มลูสขุภาพและการรกัษา

อุปกรณ์ดา้นสุขภาพ

แบง่ปนัขอ้มูล รวดเร็วและปลอดภยั(Secure Speed Data Sharing)

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New Digital Touch PointsNot only application software

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Internet of Things

The internet of things (IoT) is the network of physical devices, vehicles, buildingsand other items—embedded with electronics, software, sensors, and networkconnectivity that enables these objects to collect and exchange data.

ITU. 26 June 2015.

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Part 2

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Digital Transformation Strategic Framework

Digital Initiatives

Digital Platform


NewServices

OptimizedServices

RetiredServices

CEO

CFOCOOCMO

Big Data DigitalSecurity

“Innovation”“Efficiency”


Cloud

Data Monetization

New Customers, Channels

IoT, Smart Devices

Business ProcessOptimization/Outsourcing

Smart Workforce

EnterpriseMetamorphosis


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. 38

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Information Technologyvs.

Digital Technology

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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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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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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/

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Choose the Right Presentation Chart Types

http://img.labnol.org/di/data-chart-type.png 43

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Understand Enterprise AnalyticsNeeded Using Digital Transformation

Reference Model

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Digital Transformation Reference Model



Vision,Mission

Statements

Big Data DigitalSecurityCloud

Key Technologies for Digital Transformation

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Digital Transformation Reference Model



Vision,Mission

Statements

Anal

ytic

sIn

itiat

ives

?

Big Data DigitalSecurityCloud

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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?

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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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Data SourcesLayer

FoundationLayer

Access LayerStaging Layer Presentation Layer

Data Marts

Operation Level

Management Level

Executive Level

Datawarehous

eStaging DB/ODS

OLTP

OLAP

DataMining

ETL ETL

Application 1

Application 2

DB or Files

Data Mart / Cube

DW Tools BI Tools

1. Data Source Layer: definingwhich data will be loaded intothe system and analyzed.• Text Files• OLTP, Databases• XML• JSON• Spreadsheet Files

Source Dara Examples:-- Retail POS system- Web Site- DBMS

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Data SourcesLayer

FoundationLayer


Data Marts

Operation Level

Management Level

Executive Level

Datawarehous

eStaging DB/ODS

OLTP

OLAP

DataMining

ETL ETL

Application 1

Application 2

DB or Files

Data Mart / Cube

DW Tools BI Tools

2. ETL (Extract, Transform, and Load)and Staging Layer:

• Tools to move data to stagingDB

• Staging DB is a temporarystorage to be loaded to DWH

• Staging DB could beoperational reportingtool/platform

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Data SourcesLayer

FoundationLayer


Data Marts

Operation Level

Management Level

Executive Level

Datawarehous

eStaging DB/ODS

OLTP

OLAP

DataMining

ETL ETL

Application 1

Application 2

DB or Files

Data Mart / Cube

DW Tools BI Tools

3. Data Warehouse:-• Used for reporting• A scalable DB storing historical

enterprise data• Online Analytical Processing• Not used for transaction

processing

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Data SourcesLayer

FoundationLayer


Data Marts

Operation Level

Management Level

Executive Level

Datawarehous

eStaging DB/ODS

OLTP

OLAP

DataMining

ETL ETL

Application 1

Application 2

DB or Files

Data Mart / Cube

DW Tools BI Tools

4. Access Layer:-• Data Mart for business fast

query (Star Schema)• OLAP uses a

multidimensional datamodel, allowing forcomplex analytical and ad-hoc queries with a rapidexecution time

• Data mining for mostly instructured data format

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Data SourcesLayer

FoundationLayer


Data Marts

Operation Level

Management Level

Strategic Level

Datawarehous

eStaging DB/ODS

OLTP

OLAP

DataMining

ETL ETL

Application 1

Application 2

DB or Files

Data Mart / Cube

DW Tools BI Tools

5. Presentation Layer:-• Need to gather

requirements fromBusiness Units forVisualization and Touchpoints

• Need to identify datasources and method todeliver results

• Enterprise dashboards,reports and alerts thatpresent findings from theanalysis

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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 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

FraudAnalysis

CyberSecurity

TalentSearch

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

emM

onito

ring

Syst

emSe

curit

y

Physical Data Center

Access Channels

Staffs Partners ManagersCustomers Executives Experts

InfraPlatformAppsAccess68

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Block Size =64MB/128MB/256MBReplication Factor = 3

HDFS: Hadoop Distributed File System

Cost/GB is a few¢/month vs $/month

apache.org/hadoop/

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MapReduce: Distributed Processing

apache.org/hadoop/

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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

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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

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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 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.)79

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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.

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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.

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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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Digital Initiatives Worksheet

Service Name: Key Objectives:

Service Owner:

Version: Date/Time:

Critical Check Points, Evidences

Key Business Issues: Key Technology Issue:

1. ___________, __________2. ___________, __________3. ___________, __________4. ___________, __________5. ___________, __________

1. ___________2. ___________3. ___________4. ___________

NewImproveRetire

1. ___________2. ___________3. ___________4. ___________5. ___________

Lists of Stakeholders

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The Big Data Governance WorksheetNo.

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

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อ.ดนยัรฐั ธนบดธีรรมจารี+668-1559-1446 Line ID: danairat

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

Together we can!

Thank you.

91

Documents

Vision,Statements O R N Business Services & S Business ...€¦ · Danairat T. • The Internet of Things (IoT) is the network of physical objects that contain embedded technology