This document discusses a course on information systems. It covers several topics: - The relationship between business IT and innovation and how to analyze applications in industry, commerce, and training. - The course structure which explores context, methods/technologies, case studies, and evaluation metrics. - Definitions of structured vs unstructured data and how organizations can compare and aggregate structured data. - The role of an information system as an organized set of resources that capture the meaning of work.

1. ©2013 LHST sarl
- Preliminary Draft -
Introduction
Managerial Perspectives
The Amaté platform
E-Stratégies
Oct. 17th 2014
Productivity is a measure of
your ability to act on real-time
information

2. • I work with managers to help them
understand how enterprise applications,
web and mobile technologies can
enrich their careers.
• The client portfolio in the ICT industry
includes Microsoft, Apple, Ernst &
Young, France Telecom, HP, IBM,
Oracle and SAP
.
•The work with the IT industry in
Europe has included fifty partner and
customer conferences, a dozen case
studies, and various marketing support
activities.
©2013 LHST sarl
Prof. Lee SCHLENKER,
Professeur EM LYON
Managing Director, LHST
Web : www.leeschlenker.com
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

3. http://e-thinking.org
• Course slides
• Recommended reading
• Course deliverables
• Student input
schlenker@em-lyon.com
©2013 LHST sarl
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

4. •In this module, we will explore
the relationship between
business IT and innovation, and
analyze some of the current
applications on industry,
commerce and training.
•The aim of the present module
is to arm students with a
coherent set of concepts,
methods and metrics to identify,
nurture and evaluate the impact
of technology on innovation.
©2013 LHST sarl
•. The course is structured
around four specific axes:
The context
Methods and technologies
Case studies
Evaluation Metrics
i. Introduction
ii. Process centric systems
iii. Social networks
iv. Search
v. Web services
vi. The Cloud
vii. Mobile technologies
viii. The Quantified Self
ix. Digital Transformation
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

5. ©2013 LHST sarl
 A Curation Page – 20 percent
 Company Relations– 40 percent
 Video Case Study– 40 percent
Objectives Information
Systems
The
Problem
Data and
Information
The
Deliverables

6. ©2013 LHST sarl
Is Google Making Us Stupid?
“EVERYONE has been talking about an article in
The Atlantic magazine called "Is Google Making
Us Stupid?" Some subset of that group has
actually read the 4,175-word article, by Nicholas
Carr.
To save you some time, I was going to give you a
100-word abridged version.
But there are just too many distractions to read
that much. So here is the 140-character Twitter
version …
Google makes deep thinking impossible. Media
changes. Our brains' wiring changes too.
Computers think for us, flattening our
intelligence.”
AMON DARLIN
1. What does Nicolas Carr suggest when implying that
technology structures both the content and the process of
thought?
3. How can Maryanne Wolf argue that “deep reading is
indistinguishable from deep thinking?”
3. How relevant today is F.W. Taylor’s description of
perfect efficiency, “In the past the man has been first, in
the future the system must be first.” Why shouldn’t we
privilege “efficiency” and “immediacy” in learning about
business?
4. What proof do we have of Eric Schmidt’s claim that
Google is a company founded “around the science of
measurement?”
5. What implications does Lewis Mumford (Technics
and Civilization) find in how clocks “disassociate time
from human events and helped create the belief in an
independent world of mathematically measurable
sequences?”
6. Are talented manger’s Richard Foreman’s ‘pancake
people’—spread wide and thin to connect with that vast
network of readily accessible information?”
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

7. Focus Improve Knowledge Leverage Measure
• What does enterprise IT mean?
• What are you trying to improve?
• What do you need to learn?
• What does better mean?
• How do you measure success?
©2013 LHST sarl
What Morgan called « the management of meaning »
©2010 LHST sarl
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

8. ©2013 LHST sarl
A propos :
Objectifs :
Défis :
Passions :
Name :
Date :

9. ©2013 LHST sarl
A propos :
Objectifs :
Défis :
Passions :
Name :
Date :

10. • Economic transformation: The transformation from a manufacturing-based
economy to a services-based economy now underway throughout
©2010 LHST sarl ©2013 LHST sarl
the developed world will accelerate.
• One World of Business. Political and economic dynamics are forging a
single global market, a global workforce, global customers, partners, and
suppliers.
• Always On, Always Connected. The challenges of the “always on, always
connected” world will be converting information into insights; managing time
and staying focused on high priority tasks
• The Transparent Organization. The systems that make organizations
more agile also make them more accountable.
• NetGen Meets Baby Boom. Workers who will be delivering the innovations
and productivity growth of tomorrow, this technology not only won’t come as
a surprise, it will be a positive expectation.
• Competing for Talent in a Shrinking Workforce: Because demographics
show an aging, shrinking workforce in most of the developed world over the
next 50 years, maximizing the productivity of the workers that are available
is critical.
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

11. • Globalization : the increasingly circulation of
©2013 LHST sarl
information across borders.
• Technical progression: the transformation of
communication « atoms to bits »
• Economic integration: vertical and horizontal
integration to profit from economies of scale
• Social innovation: human attempts to create new
forms of expression
• Multitasking : individual efforts to use multiple
communication platforms
Intro Value Perspective Mirror DeliverableHsenry Jenkins

12. • The assumption of order
• The assumption of rational
©2013 LHST sarl
choice
• The assumption of intentional
capacity
• The assumption of identity
©2010 LHST sarl
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

13. • Study the fundamentals of an
©2013 LHST sarl
Information System
• Analyze the constraints and possibilities
of « structured » information
• Explore how the potential links between
an IS and innovation
• Analyze the potential value of digital
transformation
Objectives Information
Systems
The
Internet
Data and
Information
The
Problem
The
Challenges

14. What is the link between data and action?
• Understanding the implications between
« structured » and « unstructured data »
• Analyzing the difference between the data and
©2013 LHST sarl
reality
• Understanding how the data fits together
• Exploring the difference between data and
action
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

15. Assane, The Conversation
• From an objective point of view, information
refers to date in context that conveys meaning
to an individual.
• From a subjective point of view, we could
suggest that it’s the individual’s perspective of
the data that implies meaning.
• Given these definitions what meaning do
Wikileaks, Facebook or Whatapp have?
©2013 LHST sarl
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

16. • Structured data refers to data that can be easily represented in textual/numeric
©2013 LHST sarl
form and stored in a database.
• Structured data is often logically organized around a data model or data object.
• Such models permit companies to compare and aggregate data in databases,
datamarts and data warehouses.
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

17. • Data is considered « non-structured » if we
can’t predefine its attributes and store it in a
table or data base
• Examples of this kind of data include press
©2013 LHST sarl
clippings, videoclips, and songs
• In reality, this data isn’t « non-structured » - its
just that its attributes involve « complex »
relationships
http://ean.marie.gouarne.online.fr/bi.html
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

18. ©2013 LHST sarl
What meaning do we attach to the
data?
Frame
Cloud
Figure (s)
Oracle
Antonello da Messina
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

19. Measures
Decisions
Interprets
©2013 LHST sarl
Results
Actions
Knowledge
Context
Data
Process
Drive
The ladder of initiatives™
Require
Define
Obtain
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

20. A business information system is an organized set of
resources (platforms, applications, procedures, data and
people) that capture the meaning of work
©2013 LHST sarl
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

21. Stockholders
 ROI
 Real time data
 ...
The State
 Competition
 “made in” “made by”
 ...
 Peu de barrières d’entrée
 Acquisitions, OPA...
Employees
Clients
To help us understand the motivations, experience and objectives of the
©2013 LHST sarl
internal and external clients of the organization
Partners
 Loyalty
 Real costs
 ...
The Enterprise
 Mobility
 Empowerment
 ...
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

22. ©2013 LHST sarl
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

23. ©2013 L. SCHLENKER
©2013 LHST sarl
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

24. ©2013 LHST sarl
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

25. ©2013 LHST sarl
Technicity
Reflection
Imagination
Cooperation
Method
Action
John Holland
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

26. ©2013 LHST sarl
Is Google Making Us Stupid?
“EVERYONE has been talking about an article in
The Atlantic magazine called "Is Google Making
Us Stupid?" Some subset of that group has
actually read the 4,175-word article, by Nicholas
Carr.
To save you some time, I was going to give you a
100-word abridged version.
But there are just too many distractions to read
that much. So here is the 140-character Twitter
version …
Google makes deep thinking impossible. Media
changes. Our brains' wiring changes too.
Computers think for us, flattening our
intelligence.”
AMON DARLIN
1. What does Nicolas Carr suggest when implying that
technology structures both the content and the process of
thought?
3. How can Maryanne Wolf argue that “deep reading is
indistinguishable from deep thinking?”
3. How relevant today is F.W. Taylor’s description of
perfect efficiency, “In the past the man has been first, in
the future the system must be first.” Why shouldn’t we
privilege “efficiency” and “immediacy” in learning about
business?
4. What proof do we have of Eric Schmidt’s claim that
Google is a company founded “around the science of
measurement?”
5. What implications does Lewis Mumford (Technics
and Civilization) find in how clocks “disassociate time
from human events and helped create the belief in an
independent world of mathematically measurable
sequences?”
6. Are talented manger’s Richard Foreman’s ‘pancake
people’—spread wide and thin to connect with that vast
network of readily accessible information?”
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

27. ©2013 LHST sarl
Digital Transformation
1. Everyone Will Have the Web
2. The Browser Will Be the Operating System
3. Business Will Live in the Cloud
4. Everything Will Be Social
5. Software Will Eat the World
Marc Andreessen
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

28. ©2013 LHST sarl
Work (productivity)
• Harder, better,
faster…
• Mechanized
productivity
• Knowledge
productivity
• Continuous
Productivity
Steven Sinofsky
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

29. ©2013 LHST sarl
• Ordered domain: Known
causes and effects.
• Ordered domain: Knowable
causes and effects.
• Un-ordered domain: Complex
relationships.
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

30. ©2013 LHST sarl
Name :
Date :

31. ©2013 LHST sarl
Name :
Date :

32. http://e-thinking.org
©2013 LHST sarl
Grading Scale
The marks in this module will be based upon contributions in three areas :
• Curation: 20 possible points based on the quality of each individual
student’s on-line and in-class participation
• Company Relations: 40 possible points based on the quality of your
input.
• Video Case Study: 40 possible points
• Total points possible: 100
Introduction Information
Systems
The
Problem
Data and
Information
The
Deliverables

33. • Choose a topic for Scop.it, paper.li,
©2013 LHST sarl
etc.
• Curate and make it your own (title,
link, analysis)
• Participate in the discussion!
• Evaluation : le 05/12/2014
http://www.scoop.it/t/mobile-business
Intro Value Perspective Mirror Deliverables

34. ©2013 LHST sarl
Chargé des relations MDSI-entreprise
• Créer et tenir à jour une fiche analytique du groupe
traçant ses activités, ses objectifs, son implantation en
France et sa politique d’emploi
• Créer et tenir à jour une liste des contacts clés de
l’entreprise, ainsi que le réseau des anciens de l’école
• Solliciter un entretien avec la DRH du groupe afin de
présenter le Mastère et de proposer votre rôle
d’intermédiation
• Promouvoir et gérer les relations de « parrains » avec
les mastériens du groupe
Evaluation : le 23/01/2015
Intro Value Perspective Mirror Deliverables

35. ©2013 LHST sarl
Videocast
• In your five minute videocast, incorporate
testimony, pictures, give us your perspective
on the strategic use of technology. Your case
study should shed light on the following
points:
• How did the organization define the business
problem?
• What beliefs and prejudices must be put into
question?
• What figures, and what metrics made sense?
• Which horizons define the state of the art
today and tomorrow?
• What visions allow each of us to frame the
problem, understand the figures and reach
out beyond the horizon?
Management isn’t about doing
things, its about getting things done
Evaluation : le 13/02/2015
Intro Value Perspective Mirror Deliverables