4. This a place where managers and
students of management can discuss
and debate best practises in the digital
economy, new developments in data
science and decision making. Ask
questions and get practicable
answers, and learn how to use data in
decision making.
Analytics for Management
https://www.linkedin.com/
groups/13536539
Introduction
5. • How do the authors define a "Data
Scientist"?
• What does a data scientist need to know
about data?
• What is meant by a "big data problem"?
• What knowledge and skills would you
associate with a Data Scientist?
• With advances in artificial intelligence,
do companies really need data scientists?
Data Scientist, the sexiest job of the 21rst Century ?
Introduction
6. Analytics is the use of data, methods, analysis and
technology to to help managers make better decisions.
1-6
Introduction
psychological models
data
mining
cognitive science
decision theory
information theory
databases
Business
Analytics
neuroscience
statistics
evolutionary
models
control theory
Data science is the study of the generalizable
extraction of knowledge from data
7. • More data has been created in the
past two years than in the previous
history of the human race
• « Strategists still confuse
technology with purpose … instead
of garnering context and empathy
to inform change…” - Brian Solis
• We have more and more data – but
does this lead to better decisions?
The Data Explosion
Introduction
8. • Volume, velocity, variety, veracity
and value
• No longer just structured data
• Gathering data about relationships
rather than about people
• Quadratic relationships
• Data is no longer just data
Why do we have so much data? Introduction
9. • Scan the context
• Qualify the data at hand
• Choose the right method
• Transform data into action
The Basics
The Business Analytics Institute
https://baieurope.com
10. Tranformational “Memory” itself becomes
the product — the "experience"
• The Experience Economy
• Service economy – value comes from services
embedded in the product
• Pine and Gilmore argued that differentiation today
comes from creating “experiences”
• Starbucks, Michelin, Hermès, Apple
• Companies provide “stages”, managers are “actors”,
customers are active “spectators”
The Basics
11. Introduction
• Place - changes in geography, time, physical
resources and budget
• Platform – enriching how information is produced
and consumed
• People – modifying the frame of reference
• Practice - impacting the reality of management
Schlenker (2015)
14. • Segment the market by
needs…
• Qualify your target
segment
• Develop your products
or services to meet the
need
• Measure the results
Tristan Kromer
The Basics
15. Introduction
• You're given the choice of three
doors: Behind one door is a car;
behind the others, goats.
• You pick a door, say No. 1
• The host opens another door, say
No. 3, which has a goat. He says to
you, "Do you want to pick door
No. 2?"
• Is it to your advantage to switch your
choice?
16. • What is the organization’s business
model?
• Why does the organization focus on
data?
• Which data science techniques does
the organization favor ?
• What is the link between data science
and decision making?
• How is the Data Science team
organized?
• How does the organization use Data
Science to propel growth
Case Study Questions
Technology
17. • Davenport, T. and Patil, D.J., (2012) , Data Scientist,
the sexiest job of the 21rst Century, HBR
• Davenport, T. and Kirby, J., (2016) , Six Very Clear
Signs That Your Job Is Due To Be Automated , Fast
Company
• Fourquet, M. and Coursin, C. Le Miroir Digital ou la
nouvelle condition humaine numérique
• Grimes, S. (2008). Unstructured data and the 80
percent rule
• Schlenker, L. (2017). Data isn't just Data
Bibliography
Next Steps
Editor's Notes
if you have n notes in a network, the number of possible connections is n times n minus one. So it's similar to n to the square.
It's a quadratic relationship between the number of individuals in a network and the data generated about their exchanges.
The Standard Form of a Quadratic Equation looks like this:
a, b and c are known values. a can't be 0.
"x" is the variable or unknown (we don't know it yet).
XML - Allows the delivery of messages and transfer of data through a series of standard tags; the World Wide Web Consortium released the first version in October 1998
SOAP - Calls and invokes Web services through HTTP; the W3C last month issued a draft for the next version of SOAP
WSDL - Describes the function and format of a Web service; proposed to the W3C in March by IBM, Microsoft and 23 other companies
UDDI Lists available Web services and their locations either on a public directory server or one within an organization; started by IBM, Microsoft and Ariba last September; second version released in June