SlideShare a Scribd company logo
1 of 15
Towards a Visual Modeling Approach to
Manage the Impact of Digital Transformation
on Information Systems
Research In Progress paper
Mouaad HAFSI, Saïd ASSAR
Institut Mines Telecom Business School – LITEM – Univ Evry
Université Paris-Saclay, 91025, Evry, FRANCE
1. What is Digital Transformation? 2
Source
Patricia Jones, “What does Digital Transformation mean?”, ConvergeHub,
https://www.convergehub.com/blog/what-does-digital-transformation-mean-what-are-its-nine-core-elements
1. What is Digital Transformation? 3
Source
G. Westerman, C. Calméjane, D. Bonnet, P. Ferraris, and A. McAfee, “Digital Transformation: A Roadmap for
Billion-Dollar Organizations,” MIT Center for Digital Business and Capgemini Consulting, 2011.
2. Challenges in using EM to address DT
A practitioner point of view:
• No frameworks or tools for defining the ability of the IS
to make use of new platforms, such as cloud computing,
online store, micro-services, etc.
• Inability to model external factors such as key trends,
market forces, industry forces, and macroeconomic
forces.
• Limited support for modeling changes and their impact
on the other IS components.
4
3. Approach and hypothesis
Hypothesis
• Enterprise modeling is an adequate tool to drive DT
endeavors
Research goals
• To assess existing EM approaches
• To provide the decision support needed by the company's
managers to deal with DT and its impact on their IS
• To propose a Digital Transformation-Oriented (DTO) model to
master IS evolution in digital contexts
• To develop tools and methods based on DTO model
Research approach
• Design science (build – evaluate – conceptualize knowledge)
5
4. State of the art
• A. Zimmermann, R. Schmidt, et al.:
– Digitization
– Digital Enterprise Architecture
• J. Stirna, J. Zdravkovic, et al.
– Capability driven development
• B. Fritscher, Y. Pigneur:
– Business IT alignment
6
5. Using Archimate to define DTO concepts
• Imported concepts (Archimate) :
– Process
– Service
– Goal
– Resource
– Capability
– Contract
– Internal behavior element
– Data Object
– Interface
• New concepts
– Channel
– Industry force
– Market force
– Digital capabilities / Innovation
– Key trend
7
6. DTO principles
• Flexibility by design => autonomous IS
components
• Decoupling
– Horizontal decoupling : process layer versus
organizational environment layer.
– Vertical decoupling : production component view
versus distribution component view
• Modeling external factors
– Key trends, Market forces, Industry forces, Digital
capabilities & Innovation
8
6. A DTO framework 9
Generic
interface
Business capability
Distribution
Channel
Distribution
Goal
Distribution
Process
Service
Production
Goal
Production
Process
Customer Data
Production
Data
The organizational environment
layer
Generic
interface layer
Distribution
Componentsview
Production
Componentsview
The process layer
External
factors
Market forces
Digital capabilities /
Innovation
Industry force Key trends
Organizational Resource
Physical Resource
Internal behavior element
Infrastructure Resource
Artefact Contract
7. Case study : Numan Gardens
• A small private Moroccan company dedicated to natural
and organic cosmetics and wellness products
• It has a production equipped with a production and
extraction system with qualified human resources who
are capable of tracking the production from seed
collection to packaging
• The company aims to use two types of channels to reach
customers: Physical stores, and one online store
• Regarding business strategy, key resources are the brand
of the company and its contacts with partners
• The partners that form the backbone of the company's
products include raw material producers (mainly oils),
cooperatives and logistics companies (transport, storage)
10
8. Methodology for using the DTO model 11
Step 2 : Instantiation Using
DTO Template
Step 4 : Analyzing digital
transformation impacts on IS
Managing the new distribution
channels acquisition impact on IS
Step 3 : Visualizing Business IT
Alignment
Visualizing the value chain of
“Managing online orders” process
Step 1 : Numan Gardens IS Creation
8.1 The Visual DTO model instantiation 12
Organizational
Resource
Physical Resource
Internal behavior
element
Infrastructure
Resource
Artefact Contract
The Company organizational environment layer
generic
interface layer
Distributioncomponents
view
Productioncomponents
view
The Company Process layer
External
factors
Managing
online
orders
Physical
Store
customer reliability
order
informati
onTracking
an order
Customer
informati
on
Distribution
Channel
Distribution
Process
Business
capabilities
Distribution
Goal
Customer
Data
Managing
Store’s
orders
Search an order
Mastering the order
management
traceability
management
Client
referenc
es
Improving campany
performance
Production
Process
Service
Production
Goal
Production
Data
Used for
Generic
functionalities
Generic
roles
Generic
Caractér
istics
Cooperative size
Artefact
Contract
Cost software
Resource producer
Logistic companies
Organizational
Resource
Factory unity
JD ERP (software)
Physical Resource
Internal Server
Oneandone
Infrastructure
Resource
LAN network > 200MG
Internal
Behaviour
Element
Office suite 2007
Planning events Emailing EDI 3.2
biological use
trends
BIO product
requirement
product traceability
obligations
Market
forces
the morrocan
prices grid used
Key
trends
targeted and
personalized marketing
techniques
Digital
capabilities /
Innovation
Industry
force
make an
order online
Simplification of
employee order tracking
Online
store
8.2 Visualizing Business IT alignment 13
Organizational
Resource
Physical Resource
Internal behavior
element
Infrastructure
Resource
Artefact Contract
The Company organizational environment layer
generic
interface layer
Distributioncomponents
view
Productioncomponents
view
The Company Process layer
External
factors
Managing
online
orders
Physical
Store
customer reliability
order
informati
on
Online
store
Tracking
an order
Customer
informati
on
Distribution
Channel
Distribution
Process
Business
capabilities
Distribution
Goal
Customer
Data
Managing
Store’s
orders
Search an order
Mastering the order
management
traceability
management
Client
referenc
es
Improving campany
performance
Production
Process
Service
Production
Goal
Production
Data
Used for
Generic
functionalities
Generic
roles
Generic
Caracter
istics
Cooperative size
Simplification of
employee order tracking
Artefact
Contract
Cost software
Resource producer
Logistic companies
Organizational
Resource
Factory unity
JD ERP (software)
Physical Resource
Internal Server
Oneandone
Infrastructure
Resource
LAN network > 200MG
Internal
Behaviour
Element
Office suite 2007
Planning events Emailing EDI 3.2
biological use
trends
BIO product
requirement
product traceability
obligations
Market
forces
the morrocan
prices grid used
Key
trends
targeted and
personalized marketing
techniques
Digital
capabilities /
Innovation
Industry
force
make an
order online
8.3 Analyzing digital transformation impacts on IS 14
Organizational
Resource
Physical Resource
Internal behavior
element
Infrastructure
Resource
Artefact Contract
The Company organizational environment layer
generic
interface layer
Distributioncomponents
view
Productioncomponents
view
The Company Process layer
External
factors
Managing
online
orders
Physical
Store
customer reliability
order
informati
on
Online
store
Tracking
an order
Customer
informati
on
Business
capabilities
Distribution
Goal
Customer
Data
Managing
Store’s
orders
Search an order
Mastering the order
management
traceability
management
Client
referenc
es
Improving campany
performance
Production
Process
Service
Production
Goal
Production
Data
Used for
Generic
functionalities
Generic
roles
Generic
Caractér
istics
Cooperative size
Artefact
Contract
Cost software
Resource producer
Logistic companies
Organizational
Resource
Factory unity
JD ERP (software)
Physical Resource
Internal Server
Oneandone
Infrastructure
Resource
LAN network > 200MG
Internal
Behaviour
Element
Office suite 2007
Planning events Emailing EDI 3.2
biological use
trends
BIO product
requirement
product traceability
obligations
Market
forces
the morrocan
prices grid used
Key
trends
targeted and
personalized marketing
techniques
Digital
capabilities /
Innovation
Industry
force
make an
order online
Simplification of
employee order tracking
Phone Store
Managing
Phone’s
orders
9. Conclusion
• The DTO model
– Ongoing research endeavor
– Focus on visualization for Digital Transformation
projects
• Future work
– Test the model in real world settings (e.g. banking
domain)
– Focus on decision making and strategic analysis of DT
impact of DT
15

More Related Content

What's hot

The AI Path: Past, Present & Future
The AI Path: Past, Present & FutureThe AI Path: Past, Present & Future
The AI Path: Past, Present & FutureCognizant
 
small business
small businesssmall business
small businesshome
 
Sgd it-for-organizational-excellence-pies-indore
Sgd it-for-organizational-excellence-pies-indoreSgd it-for-organizational-excellence-pies-indore
Sgd it-for-organizational-excellence-pies-indoreSanjeev Deshmukh
 
Analyst field reports on top 20 MDM and Data Governance implementation partne...
Analyst field reports on top 20 MDM and Data Governance implementation partne...Analyst field reports on top 20 MDM and Data Governance implementation partne...
Analyst field reports on top 20 MDM and Data Governance implementation partne...Aaron Zornes
 
Mike2.0 Information Governance Overview
Mike2.0 Information Governance OverviewMike2.0 Information Governance Overview
Mike2.0 Information Governance Overviewsean.mcclowry
 
IT Strategic Planning (Case Studies)
IT Strategic Planning (Case Studies)IT Strategic Planning (Case Studies)
IT Strategic Planning (Case Studies)Nurhazman Abdul Aziz
 
Lessons in Information Governance
Lessons in Information GovernanceLessons in Information Governance
Lessons in Information GovernanceJohn Newton
 
Analyst field reports on top 10 data governance solutions aaron zornes (nyc...
Analyst field reports on top 10 data governance solutions   aaron zornes (nyc...Analyst field reports on top 10 data governance solutions   aaron zornes (nyc...
Analyst field reports on top 10 data governance solutions aaron zornes (nyc...Aaron Zornes
 
Application Architecture, Development & Integration Summit London 2012 - ...
Application Architecture, Development & Integration Summit London 2012 - ...Application Architecture, Development & Integration Summit London 2012 - ...
Application Architecture, Development & Integration Summit London 2012 - ...Pascal Winckel
 
Property & Casualty: Deterring Claims Leakage in the Digital Age
Property & Casualty: Deterring Claims Leakage in the Digital AgeProperty & Casualty: Deterring Claims Leakage in the Digital Age
Property & Casualty: Deterring Claims Leakage in the Digital AgeCognizant
 
It aac cloud-acquisition_roadmap2012
It aac cloud-acquisition_roadmap2012It aac cloud-acquisition_roadmap2012
It aac cloud-acquisition_roadmap2012John Weiler
 
Artificial Intelligence in Financial Services: From Nice to Have to Must Have
Artificial Intelligence in Financial Services: From Nice to Have to Must HaveArtificial Intelligence in Financial Services: From Nice to Have to Must Have
Artificial Intelligence in Financial Services: From Nice to Have to Must HaveCognizant
 
Business Intelligence 9 11 08 Cio Breakfast 1
Business Intelligence 9 11 08 Cio Breakfast 1Business Intelligence 9 11 08 Cio Breakfast 1
Business Intelligence 9 11 08 Cio Breakfast 1James Sutter
 
MDM SUMMIT Asia-Pacific 2009 Conference Keynote Aaron Zornes (Sydney April ...
MDM SUMMIT Asia-Pacific 2009 Conference Keynote   Aaron Zornes (Sydney April ...MDM SUMMIT Asia-Pacific 2009 Conference Keynote   Aaron Zornes (Sydney April ...
MDM SUMMIT Asia-Pacific 2009 Conference Keynote Aaron Zornes (Sydney April ...Aaron Zornes
 
Competing with information technology
Competing with information technologyCompeting with information technology
Competing with information technologyAmrit Banstola
 
Four Pillars of Business Analytics by Actuate
Four Pillars of Business Analytics by ActuateFour Pillars of Business Analytics by Actuate
Four Pillars of Business Analytics by ActuateEdgar Alejandro Villegas
 
Beyond Decision Models – Using Technical and Business Standards to Transform ...
Beyond Decision Models – Using Technical and Business Standards to Transform ...Beyond Decision Models – Using Technical and Business Standards to Transform ...
Beyond Decision Models – Using Technical and Business Standards to Transform ...Jonathan L'Ecuyer
 
Addressing Information Gridlock Achieves Real Business Benefits
Addressing Information Gridlock Achieves Real Business BenefitsAddressing Information Gridlock Achieves Real Business Benefits
Addressing Information Gridlock Achieves Real Business BenefitsGarrett King
 

What's hot (19)

The AI Path: Past, Present & Future
The AI Path: Past, Present & FutureThe AI Path: Past, Present & Future
The AI Path: Past, Present & Future
 
Adopt new technology for 2011 and beyond
Adopt new technology for 2011 and beyondAdopt new technology for 2011 and beyond
Adopt new technology for 2011 and beyond
 
small business
small businesssmall business
small business
 
Sgd it-for-organizational-excellence-pies-indore
Sgd it-for-organizational-excellence-pies-indoreSgd it-for-organizational-excellence-pies-indore
Sgd it-for-organizational-excellence-pies-indore
 
Analyst field reports on top 20 MDM and Data Governance implementation partne...
Analyst field reports on top 20 MDM and Data Governance implementation partne...Analyst field reports on top 20 MDM and Data Governance implementation partne...
Analyst field reports on top 20 MDM and Data Governance implementation partne...
 
Mike2.0 Information Governance Overview
Mike2.0 Information Governance OverviewMike2.0 Information Governance Overview
Mike2.0 Information Governance Overview
 
IT Strategic Planning (Case Studies)
IT Strategic Planning (Case Studies)IT Strategic Planning (Case Studies)
IT Strategic Planning (Case Studies)
 
Lessons in Information Governance
Lessons in Information GovernanceLessons in Information Governance
Lessons in Information Governance
 
Analyst field reports on top 10 data governance solutions aaron zornes (nyc...
Analyst field reports on top 10 data governance solutions   aaron zornes (nyc...Analyst field reports on top 10 data governance solutions   aaron zornes (nyc...
Analyst field reports on top 10 data governance solutions aaron zornes (nyc...
 
Application Architecture, Development & Integration Summit London 2012 - ...
Application Architecture, Development & Integration Summit London 2012 - ...Application Architecture, Development & Integration Summit London 2012 - ...
Application Architecture, Development & Integration Summit London 2012 - ...
 
Property & Casualty: Deterring Claims Leakage in the Digital Age
Property & Casualty: Deterring Claims Leakage in the Digital AgeProperty & Casualty: Deterring Claims Leakage in the Digital Age
Property & Casualty: Deterring Claims Leakage in the Digital Age
 
It aac cloud-acquisition_roadmap2012
It aac cloud-acquisition_roadmap2012It aac cloud-acquisition_roadmap2012
It aac cloud-acquisition_roadmap2012
 
Artificial Intelligence in Financial Services: From Nice to Have to Must Have
Artificial Intelligence in Financial Services: From Nice to Have to Must HaveArtificial Intelligence in Financial Services: From Nice to Have to Must Have
Artificial Intelligence in Financial Services: From Nice to Have to Must Have
 
Business Intelligence 9 11 08 Cio Breakfast 1
Business Intelligence 9 11 08 Cio Breakfast 1Business Intelligence 9 11 08 Cio Breakfast 1
Business Intelligence 9 11 08 Cio Breakfast 1
 
MDM SUMMIT Asia-Pacific 2009 Conference Keynote Aaron Zornes (Sydney April ...
MDM SUMMIT Asia-Pacific 2009 Conference Keynote   Aaron Zornes (Sydney April ...MDM SUMMIT Asia-Pacific 2009 Conference Keynote   Aaron Zornes (Sydney April ...
MDM SUMMIT Asia-Pacific 2009 Conference Keynote Aaron Zornes (Sydney April ...
 
Competing with information technology
Competing with information technologyCompeting with information technology
Competing with information technology
 
Four Pillars of Business Analytics by Actuate
Four Pillars of Business Analytics by ActuateFour Pillars of Business Analytics by Actuate
Four Pillars of Business Analytics by Actuate
 
Beyond Decision Models – Using Technical and Business Standards to Transform ...
Beyond Decision Models – Using Technical and Business Standards to Transform ...Beyond Decision Models – Using Technical and Business Standards to Transform ...
Beyond Decision Models – Using Technical and Business Standards to Transform ...
 
Addressing Information Gridlock Achieves Real Business Benefits
Addressing Information Gridlock Achieves Real Business BenefitsAddressing Information Gridlock Achieves Real Business Benefits
Addressing Information Gridlock Achieves Real Business Benefits
 

Similar to Towards a Visual Modeling Approach to Manage the Impact of Digital Transformation on IS

Introductory of Information Technology
Introductory of Information TechnologyIntroductory of Information Technology
Introductory of Information Technologyturkiyeizmir2020
 
TCI 2016 Taking Advantage of the Internet of Things
TCI 2016 Taking Advantage of the  Internet of ThingsTCI 2016 Taking Advantage of the  Internet of Things
TCI 2016 Taking Advantage of the Internet of ThingsTCI Network
 
Digital Business Engineering
Digital Business EngineeringDigital Business Engineering
Digital Business EngineeringBoris Otto
 
Analytics Service Framework
Analytics Service Framework Analytics Service Framework
Analytics Service Framework Vishwanath Ramdas
 
Artificial intelligence capabilities overview yashowardhan sowale cwin18-india
Artificial intelligence capabilities overview yashowardhan sowale cwin18-indiaArtificial intelligence capabilities overview yashowardhan sowale cwin18-india
Artificial intelligence capabilities overview yashowardhan sowale cwin18-indiaCapgemini
 
Devoteam itsmf 2021 - from business automation to continuous value-driven i...
Devoteam   itsmf 2021 - from business automation to continuous value-driven i...Devoteam   itsmf 2021 - from business automation to continuous value-driven i...
Devoteam itsmf 2021 - from business automation to continuous value-driven i...itSMF Belgium
 
ETDP 2015 D1 SMAC & the Journey from Automation to Digital Factory - Snjeev K...
ETDP 2015 D1 SMAC & the Journey from Automation to Digital Factory - Snjeev K...ETDP 2015 D1 SMAC & the Journey from Automation to Digital Factory - Snjeev K...
ETDP 2015 D1 SMAC & the Journey from Automation to Digital Factory - Snjeev K...Comit Projects Ltd
 
How Application Discovery and Dependency Mapping can stop you from losing cus...
How Application Discovery and Dependency Mapping can stop you from losing cus...How Application Discovery and Dependency Mapping can stop you from losing cus...
How Application Discovery and Dependency Mapping can stop you from losing cus...ManageEngine
 
A technical Introduction to Big Data Analytics
A technical Introduction to Big Data AnalyticsA technical Introduction to Big Data Analytics
A technical Introduction to Big Data AnalyticsPethuru Raj PhD
 
Demystifying Machine Learning for Manufacturing: Data Science for all
Demystifying Machine Learning for Manufacturing: Data Science for allDemystifying Machine Learning for Manufacturing: Data Science for all
Demystifying Machine Learning for Manufacturing: Data Science for allInfosys
 
BIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptxBIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptxmuflehaljarrah
 
Processes Driving the Networked Economy: Process Portals, Process Vortex and ...
Processes Driving the Networked Economy: Process Portals, Process Vortex and ...Processes Driving the Networked Economy: Process Portals, Process Vortex and ...
Processes Driving the Networked Economy: Process Portals, Process Vortex and ...Amit Sheth
 
Processes in the Networked Economies: Portal, Vortex, and Dynamic Trading Pro...
Processes in the Networked Economies: Portal, Vortex, and Dynamic Trading Pro...Processes in the Networked Economies: Portal, Vortex, and Dynamic Trading Pro...
Processes in the Networked Economies: Portal, Vortex, and Dynamic Trading Pro...Amit Sheth
 
ADV Slides: Data Curation for Artificial Intelligence Strategies
ADV Slides: Data Curation for Artificial Intelligence StrategiesADV Slides: Data Curation for Artificial Intelligence Strategies
ADV Slides: Data Curation for Artificial Intelligence StrategiesDATAVERSITY
 
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalDataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
 
Compaq KM Strategy Presentation from 2000
Compaq KM Strategy Presentation from 2000Compaq KM Strategy Presentation from 2000
Compaq KM Strategy Presentation from 2000Stan Garfield
 
Wake up, Enterprise IT
Wake up, Enterprise ITWake up, Enterprise IT
Wake up, Enterprise ITJohn Mancini
 
Digital Transformation Strategy
Digital Transformation StrategyDigital Transformation Strategy
Digital Transformation StrategyJames Woolwine
 
Big Data and MDM altogether: the winning association
Big Data and MDM altogether: the winning associationBig Data and MDM altogether: the winning association
Big Data and MDM altogether: the winning associationJean-Michel Franco
 

Similar to Towards a Visual Modeling Approach to Manage the Impact of Digital Transformation on IS (20)

Introductory of Information Technology
Introductory of Information TechnologyIntroductory of Information Technology
Introductory of Information Technology
 
TCI 2016 Taking Advantage of the Internet of Things
TCI 2016 Taking Advantage of the  Internet of ThingsTCI 2016 Taking Advantage of the  Internet of Things
TCI 2016 Taking Advantage of the Internet of Things
 
Digital Business Engineering
Digital Business EngineeringDigital Business Engineering
Digital Business Engineering
 
Analytics Service Framework
Analytics Service Framework Analytics Service Framework
Analytics Service Framework
 
Artificial intelligence capabilities overview yashowardhan sowale cwin18-india
Artificial intelligence capabilities overview yashowardhan sowale cwin18-indiaArtificial intelligence capabilities overview yashowardhan sowale cwin18-india
Artificial intelligence capabilities overview yashowardhan sowale cwin18-india
 
Devoteam itsmf 2021 - from business automation to continuous value-driven i...
Devoteam   itsmf 2021 - from business automation to continuous value-driven i...Devoteam   itsmf 2021 - from business automation to continuous value-driven i...
Devoteam itsmf 2021 - from business automation to continuous value-driven i...
 
ETDP 2015 D1 SMAC & the Journey from Automation to Digital Factory - Snjeev K...
ETDP 2015 D1 SMAC & the Journey from Automation to Digital Factory - Snjeev K...ETDP 2015 D1 SMAC & the Journey from Automation to Digital Factory - Snjeev K...
ETDP 2015 D1 SMAC & the Journey from Automation to Digital Factory - Snjeev K...
 
How Application Discovery and Dependency Mapping can stop you from losing cus...
How Application Discovery and Dependency Mapping can stop you from losing cus...How Application Discovery and Dependency Mapping can stop you from losing cus...
How Application Discovery and Dependency Mapping can stop you from losing cus...
 
A technical Introduction to Big Data Analytics
A technical Introduction to Big Data AnalyticsA technical Introduction to Big Data Analytics
A technical Introduction to Big Data Analytics
 
Demystifying Machine Learning for Manufacturing: Data Science for all
Demystifying Machine Learning for Manufacturing: Data Science for allDemystifying Machine Learning for Manufacturing: Data Science for all
Demystifying Machine Learning for Manufacturing: Data Science for all
 
BIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptxBIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptx
 
Agile BI success factors
Agile BI success factorsAgile BI success factors
Agile BI success factors
 
Processes Driving the Networked Economy: Process Portals, Process Vortex and ...
Processes Driving the Networked Economy: Process Portals, Process Vortex and ...Processes Driving the Networked Economy: Process Portals, Process Vortex and ...
Processes Driving the Networked Economy: Process Portals, Process Vortex and ...
 
Processes in the Networked Economies: Portal, Vortex, and Dynamic Trading Pro...
Processes in the Networked Economies: Portal, Vortex, and Dynamic Trading Pro...Processes in the Networked Economies: Portal, Vortex, and Dynamic Trading Pro...
Processes in the Networked Economies: Portal, Vortex, and Dynamic Trading Pro...
 
ADV Slides: Data Curation for Artificial Intelligence Strategies
ADV Slides: Data Curation for Artificial Intelligence StrategiesADV Slides: Data Curation for Artificial Intelligence Strategies
ADV Slides: Data Curation for Artificial Intelligence Strategies
 
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalDataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
 
Compaq KM Strategy Presentation from 2000
Compaq KM Strategy Presentation from 2000Compaq KM Strategy Presentation from 2000
Compaq KM Strategy Presentation from 2000
 
Wake up, Enterprise IT
Wake up, Enterprise ITWake up, Enterprise IT
Wake up, Enterprise IT
 
Digital Transformation Strategy
Digital Transformation StrategyDigital Transformation Strategy
Digital Transformation Strategy
 
Big Data and MDM altogether: the winning association
Big Data and MDM altogether: the winning associationBig Data and MDM altogether: the winning association
Big Data and MDM altogether: the winning association
 

More from Saïd Assar

De l’automatisation des tâches à la transformation numérique : un regard rétr...
De l’automatisation des tâches à la transformation numérique : un regard rétr...De l’automatisation des tâches à la transformation numérique : un regard rétr...
De l’automatisation des tâches à la transformation numérique : un regard rétr...Saïd Assar
 
Applied science and applicability of science : some reflexions
Applied science and applicability of science : some reflexionsApplied science and applicability of science : some reflexions
Applied science and applicability of science : some reflexionsSaïd Assar
 
Experimenting multiple approaches for teaching meta-modeling
Experimenting multiple approaches for teaching meta-modelingExperimenting multiple approaches for teaching meta-modeling
Experimenting multiple approaches for teaching meta-modelingSaïd Assar
 
Contributions to the multidisciplinarity of computer science and IS
Contributions to the multidisciplinarity of computer science and ISContributions to the multidisciplinarity of computer science and IS
Contributions to the multidisciplinarity of computer science and ISSaïd Assar
 
Meta-modeling: concepts, tools and applications
Meta-modeling: concepts, tools and applicationsMeta-modeling: concepts, tools and applications
Meta-modeling: concepts, tools and applicationsSaïd Assar
 
Model Driven Requirements Engineering: Mapping the Field and Beyond
Model Driven Requirements Engineering: Mapping the Field and BeyondModel Driven Requirements Engineering: Mapping the Field and Beyond
Model Driven Requirements Engineering: Mapping the Field and BeyondSaïd Assar
 
Web 2.0 dans les organisations: usages et adoption
Web 2.0 dans les organisations: usages et adoptionWeb 2.0 dans les organisations: usages et adoption
Web 2.0 dans les organisations: usages et adoptionSaïd Assar
 
Pour une revue rigoureuse et systématique de la littérature en MIS : étude co...
Pour une revue rigoureuse et systématique de la littérature en MIS : étude co...Pour une revue rigoureuse et systématique de la littérature en MIS : étude co...
Pour une revue rigoureuse et systématique de la littérature en MIS : étude co...Saïd Assar
 
Modeling and meta-modeling presentation at LTH, Sweden
Modeling and meta-modeling presentation at LTH, Sweden Modeling and meta-modeling presentation at LTH, Sweden
Modeling and meta-modeling presentation at LTH, Sweden Saïd Assar
 

More from Saïd Assar (9)

De l’automatisation des tâches à la transformation numérique : un regard rétr...
De l’automatisation des tâches à la transformation numérique : un regard rétr...De l’automatisation des tâches à la transformation numérique : un regard rétr...
De l’automatisation des tâches à la transformation numérique : un regard rétr...
 
Applied science and applicability of science : some reflexions
Applied science and applicability of science : some reflexionsApplied science and applicability of science : some reflexions
Applied science and applicability of science : some reflexions
 
Experimenting multiple approaches for teaching meta-modeling
Experimenting multiple approaches for teaching meta-modelingExperimenting multiple approaches for teaching meta-modeling
Experimenting multiple approaches for teaching meta-modeling
 
Contributions to the multidisciplinarity of computer science and IS
Contributions to the multidisciplinarity of computer science and ISContributions to the multidisciplinarity of computer science and IS
Contributions to the multidisciplinarity of computer science and IS
 
Meta-modeling: concepts, tools and applications
Meta-modeling: concepts, tools and applicationsMeta-modeling: concepts, tools and applications
Meta-modeling: concepts, tools and applications
 
Model Driven Requirements Engineering: Mapping the Field and Beyond
Model Driven Requirements Engineering: Mapping the Field and BeyondModel Driven Requirements Engineering: Mapping the Field and Beyond
Model Driven Requirements Engineering: Mapping the Field and Beyond
 
Web 2.0 dans les organisations: usages et adoption
Web 2.0 dans les organisations: usages et adoptionWeb 2.0 dans les organisations: usages et adoption
Web 2.0 dans les organisations: usages et adoption
 
Pour une revue rigoureuse et systématique de la littérature en MIS : étude co...
Pour une revue rigoureuse et systématique de la littérature en MIS : étude co...Pour une revue rigoureuse et systématique de la littérature en MIS : étude co...
Pour une revue rigoureuse et systématique de la littérature en MIS : étude co...
 
Modeling and meta-modeling presentation at LTH, Sweden
Modeling and meta-modeling presentation at LTH, Sweden Modeling and meta-modeling presentation at LTH, Sweden
Modeling and meta-modeling presentation at LTH, Sweden
 

Recently uploaded

Cyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptxCyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptxCherry
 
X-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
X-rays from a Central “Exhaust Vent” of the Galactic Center ChimneyX-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
X-rays from a Central “Exhaust Vent” of the Galactic Center ChimneySérgio Sacani
 
Lipids: types, structure and important functions.
Lipids: types, structure and important functions.Lipids: types, structure and important functions.
Lipids: types, structure and important functions.Cherry
 
Concept of gene and Complementation test.pdf
Concept of gene and Complementation test.pdfConcept of gene and Complementation test.pdf
Concept of gene and Complementation test.pdfCherry
 
Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.Cherry
 
GBSN - Microbiology (Unit 4) Concept of Asepsis
GBSN - Microbiology (Unit 4) Concept of AsepsisGBSN - Microbiology (Unit 4) Concept of Asepsis
GBSN - Microbiology (Unit 4) Concept of AsepsisAreesha Ahmad
 
FS P2 COMBO MSTA LAST PUSH past exam papers.
FS P2 COMBO MSTA LAST PUSH past exam papers.FS P2 COMBO MSTA LAST PUSH past exam papers.
FS P2 COMBO MSTA LAST PUSH past exam papers.takadzanijustinmaime
 
Terpineol and it's characterization pptx
Terpineol and it's characterization pptxTerpineol and it's characterization pptx
Terpineol and it's characterization pptxMuhammadRazzaq31
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learninglevieagacer
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxDiariAli
 
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....muralinath2
 
POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.Cherry
 
COMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demeritsCOMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demeritsCherry
 
GBSN - Microbiology (Unit 5) Concept of isolation
GBSN - Microbiology (Unit 5) Concept of isolationGBSN - Microbiology (Unit 5) Concept of isolation
GBSN - Microbiology (Unit 5) Concept of isolationAreesha Ahmad
 
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.Cherry
 
Site specific recombination and transposition.........pdf
Site specific recombination and transposition.........pdfSite specific recombination and transposition.........pdf
Site specific recombination and transposition.........pdfCherry
 
Role of AI in seed science Predictive modelling and Beyond.pptx
Role of AI in seed science  Predictive modelling and  Beyond.pptxRole of AI in seed science  Predictive modelling and  Beyond.pptx
Role of AI in seed science Predictive modelling and Beyond.pptxArvind Kumar
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxMohamedFarag457087
 
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry Areesha Ahmad
 
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...Scintica Instrumentation
 

Recently uploaded (20)

Cyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptxCyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptx
 
X-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
X-rays from a Central “Exhaust Vent” of the Galactic Center ChimneyX-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
X-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
 
Lipids: types, structure and important functions.
Lipids: types, structure and important functions.Lipids: types, structure and important functions.
Lipids: types, structure and important functions.
 
Concept of gene and Complementation test.pdf
Concept of gene and Complementation test.pdfConcept of gene and Complementation test.pdf
Concept of gene and Complementation test.pdf
 
Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.
 
GBSN - Microbiology (Unit 4) Concept of Asepsis
GBSN - Microbiology (Unit 4) Concept of AsepsisGBSN - Microbiology (Unit 4) Concept of Asepsis
GBSN - Microbiology (Unit 4) Concept of Asepsis
 
FS P2 COMBO MSTA LAST PUSH past exam papers.
FS P2 COMBO MSTA LAST PUSH past exam papers.FS P2 COMBO MSTA LAST PUSH past exam papers.
FS P2 COMBO MSTA LAST PUSH past exam papers.
 
Terpineol and it's characterization pptx
Terpineol and it's characterization pptxTerpineol and it's characterization pptx
Terpineol and it's characterization pptx
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learning
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
 
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
 
POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.
 
COMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demeritsCOMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demerits
 
GBSN - Microbiology (Unit 5) Concept of isolation
GBSN - Microbiology (Unit 5) Concept of isolationGBSN - Microbiology (Unit 5) Concept of isolation
GBSN - Microbiology (Unit 5) Concept of isolation
 
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
 
Site specific recombination and transposition.........pdf
Site specific recombination and transposition.........pdfSite specific recombination and transposition.........pdf
Site specific recombination and transposition.........pdf
 
Role of AI in seed science Predictive modelling and Beyond.pptx
Role of AI in seed science  Predictive modelling and  Beyond.pptxRole of AI in seed science  Predictive modelling and  Beyond.pptx
Role of AI in seed science Predictive modelling and Beyond.pptx
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
 
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
 
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
 

Towards a Visual Modeling Approach to Manage the Impact of Digital Transformation on IS

  • 1. Towards a Visual Modeling Approach to Manage the Impact of Digital Transformation on Information Systems Research In Progress paper Mouaad HAFSI, Saïd ASSAR Institut Mines Telecom Business School – LITEM – Univ Evry Université Paris-Saclay, 91025, Evry, FRANCE
  • 2. 1. What is Digital Transformation? 2 Source Patricia Jones, “What does Digital Transformation mean?”, ConvergeHub, https://www.convergehub.com/blog/what-does-digital-transformation-mean-what-are-its-nine-core-elements
  • 3. 1. What is Digital Transformation? 3 Source G. Westerman, C. Calméjane, D. Bonnet, P. Ferraris, and A. McAfee, “Digital Transformation: A Roadmap for Billion-Dollar Organizations,” MIT Center for Digital Business and Capgemini Consulting, 2011.
  • 4. 2. Challenges in using EM to address DT A practitioner point of view: • No frameworks or tools for defining the ability of the IS to make use of new platforms, such as cloud computing, online store, micro-services, etc. • Inability to model external factors such as key trends, market forces, industry forces, and macroeconomic forces. • Limited support for modeling changes and their impact on the other IS components. 4
  • 5. 3. Approach and hypothesis Hypothesis • Enterprise modeling is an adequate tool to drive DT endeavors Research goals • To assess existing EM approaches • To provide the decision support needed by the company's managers to deal with DT and its impact on their IS • To propose a Digital Transformation-Oriented (DTO) model to master IS evolution in digital contexts • To develop tools and methods based on DTO model Research approach • Design science (build – evaluate – conceptualize knowledge) 5
  • 6. 4. State of the art • A. Zimmermann, R. Schmidt, et al.: – Digitization – Digital Enterprise Architecture • J. Stirna, J. Zdravkovic, et al. – Capability driven development • B. Fritscher, Y. Pigneur: – Business IT alignment 6
  • 7. 5. Using Archimate to define DTO concepts • Imported concepts (Archimate) : – Process – Service – Goal – Resource – Capability – Contract – Internal behavior element – Data Object – Interface • New concepts – Channel – Industry force – Market force – Digital capabilities / Innovation – Key trend 7
  • 8. 6. DTO principles • Flexibility by design => autonomous IS components • Decoupling – Horizontal decoupling : process layer versus organizational environment layer. – Vertical decoupling : production component view versus distribution component view • Modeling external factors – Key trends, Market forces, Industry forces, Digital capabilities & Innovation 8
  • 9. 6. A DTO framework 9 Generic interface Business capability Distribution Channel Distribution Goal Distribution Process Service Production Goal Production Process Customer Data Production Data The organizational environment layer Generic interface layer Distribution Componentsview Production Componentsview The process layer External factors Market forces Digital capabilities / Innovation Industry force Key trends Organizational Resource Physical Resource Internal behavior element Infrastructure Resource Artefact Contract
  • 10. 7. Case study : Numan Gardens • A small private Moroccan company dedicated to natural and organic cosmetics and wellness products • It has a production equipped with a production and extraction system with qualified human resources who are capable of tracking the production from seed collection to packaging • The company aims to use two types of channels to reach customers: Physical stores, and one online store • Regarding business strategy, key resources are the brand of the company and its contacts with partners • The partners that form the backbone of the company's products include raw material producers (mainly oils), cooperatives and logistics companies (transport, storage) 10
  • 11. 8. Methodology for using the DTO model 11 Step 2 : Instantiation Using DTO Template Step 4 : Analyzing digital transformation impacts on IS Managing the new distribution channels acquisition impact on IS Step 3 : Visualizing Business IT Alignment Visualizing the value chain of “Managing online orders” process Step 1 : Numan Gardens IS Creation
  • 12. 8.1 The Visual DTO model instantiation 12 Organizational Resource Physical Resource Internal behavior element Infrastructure Resource Artefact Contract The Company organizational environment layer generic interface layer Distributioncomponents view Productioncomponents view The Company Process layer External factors Managing online orders Physical Store customer reliability order informati onTracking an order Customer informati on Distribution Channel Distribution Process Business capabilities Distribution Goal Customer Data Managing Store’s orders Search an order Mastering the order management traceability management Client referenc es Improving campany performance Production Process Service Production Goal Production Data Used for Generic functionalities Generic roles Generic Caractér istics Cooperative size Artefact Contract Cost software Resource producer Logistic companies Organizational Resource Factory unity JD ERP (software) Physical Resource Internal Server Oneandone Infrastructure Resource LAN network > 200MG Internal Behaviour Element Office suite 2007 Planning events Emailing EDI 3.2 biological use trends BIO product requirement product traceability obligations Market forces the morrocan prices grid used Key trends targeted and personalized marketing techniques Digital capabilities / Innovation Industry force make an order online Simplification of employee order tracking Online store
  • 13. 8.2 Visualizing Business IT alignment 13 Organizational Resource Physical Resource Internal behavior element Infrastructure Resource Artefact Contract The Company organizational environment layer generic interface layer Distributioncomponents view Productioncomponents view The Company Process layer External factors Managing online orders Physical Store customer reliability order informati on Online store Tracking an order Customer informati on Distribution Channel Distribution Process Business capabilities Distribution Goal Customer Data Managing Store’s orders Search an order Mastering the order management traceability management Client referenc es Improving campany performance Production Process Service Production Goal Production Data Used for Generic functionalities Generic roles Generic Caracter istics Cooperative size Simplification of employee order tracking Artefact Contract Cost software Resource producer Logistic companies Organizational Resource Factory unity JD ERP (software) Physical Resource Internal Server Oneandone Infrastructure Resource LAN network > 200MG Internal Behaviour Element Office suite 2007 Planning events Emailing EDI 3.2 biological use trends BIO product requirement product traceability obligations Market forces the morrocan prices grid used Key trends targeted and personalized marketing techniques Digital capabilities / Innovation Industry force make an order online
  • 14. 8.3 Analyzing digital transformation impacts on IS 14 Organizational Resource Physical Resource Internal behavior element Infrastructure Resource Artefact Contract The Company organizational environment layer generic interface layer Distributioncomponents view Productioncomponents view The Company Process layer External factors Managing online orders Physical Store customer reliability order informati on Online store Tracking an order Customer informati on Business capabilities Distribution Goal Customer Data Managing Store’s orders Search an order Mastering the order management traceability management Client referenc es Improving campany performance Production Process Service Production Goal Production Data Used for Generic functionalities Generic roles Generic Caractér istics Cooperative size Artefact Contract Cost software Resource producer Logistic companies Organizational Resource Factory unity JD ERP (software) Physical Resource Internal Server Oneandone Infrastructure Resource LAN network > 200MG Internal Behaviour Element Office suite 2007 Planning events Emailing EDI 3.2 biological use trends BIO product requirement product traceability obligations Market forces the morrocan prices grid used Key trends targeted and personalized marketing techniques Digital capabilities / Innovation Industry force make an order online Simplification of employee order tracking Phone Store Managing Phone’s orders
  • 15. 9. Conclusion • The DTO model – Ongoing research endeavor – Focus on visualization for Digital Transformation projects • Future work – Test the model in real world settings (e.g. banking domain) – Focus on decision making and strategic analysis of DT impact of DT 15