DATA ANALYTICS
FOR DECISION
MAKING
June 29, 2018
ESMT Berlin
Executive Education
Ranking 2017
The most recent international rankings
confirm the program excellence at ESMT
Financial Times ranks ESMT 8th worldwide in
executive education and number one in Germany
DAD
FACULTY
RAJSHRI (RAJI) JAYARAMAN
(PROGRAM DIRECTOR)
is a tenured associate professor of economics. She received
her PhD in economics from Cornell University and worked at
the Center for Economic Studies (CES) in Munich before joining ESMT in 2007. Raji’s fields of interest are development
economics and labor economics. While using micro data on
individuals, schools, and firms in India, Germany, and Canada,
her research examines how people respond to incentives.
She is currently serving as faculty lead for ESMT’s full-time
MBA program.
RAJSHRI (RAJI) JAYARAMAN, DAD Program Director
TUITION *
€1,200
Program prices are net prices. Value-added tax will be added where it is legally required.
Deductions for items such as banking fees, withholding taxes, or cash discounts for
prompt payment are not possible.
According to Art. 132 (1) i of the Council Directive 2006/112/EC of 28 November 2006
on the common system of value added tax, this service is exempt from VAT.
* Tuition includes all program material, on-campus meals, and selected evening events.
For general terms and conditions go to:
www.esmt.org/gtc
WHO SHOULD ATTEND
This program has been designed for mid- or junior-level managers who need to understand
the role of big data in managerial decision making. Participants are not required to have
any mathematical or statistical prowess in order to follow its content or benefit from it.
INDIVIDUAL KEY BENEFITS
At the end of this course, participants will understand how data can and cannot be used to
guide decision making. They will be able to spot bad analytics when they see it and feel
empowered to question the data analytics presented to them. In addition, they will have
mastered the basics of running an experiment to inform managerial decisions.
ORGANIZATIONAL BENEFITS
Organizations are often overwhelmed with big data. Part of this is because big data is
viewed as a technical or data-science problem. Even though investments in technology and
data scientists are necessary in order to leverage big data for decision making, they are not
enough. At its core, (big) data analytics is an issue of leadership. It involves managerial
judgement and has to be problem-driven. Participants will return knowing how to use big
data and will be able to critically assess the material that is presented to them.
A
recent study by the Boston Consulting Group and
Amazon, which looked at 167 companies in five sectors, showed that leaders in big data generate an
average of 12 percent more revenue than those that do not
maximize their use of analytics. However, in order to maxi­
mize that benefit, managers require the insight and understanding of how to utilize big data effectively.
The program Data Analytics for Decision Making (DAD) aims
to turn participants into informed and empowered managers
of data. The combination of case studies, lectures, and class
discussions will facilitate an understanding of the role of big
data in managerial decision making. Participants will apply
critical thinking to assess material presented to them and learn to distinguish good analytics from bad analytics.
TOPICS INCLUDE
✓✓ Why managers need big data and big data needs them
✓✓ The difference between descriptive, predictive, and
prescriptive analytics
✓✓ How to distinguish between good and bad data analytics
✓✓ The new gold standard: business experiments for
managerial decision making
METHODS
We have designed an experience-based program for exec­
utives. As a result, DAD relies on methods specifically chosen
for this group, including business cases, lectures, discussions
with peers and faculty, and plenary discussions.
ESMT Berlin
POSTGRADUATE DIPLOMA
IN MANAGEMENT –
YOUR RETURN ON INVESTMENT
The Postgraduate Diploma in Management is a university-level certificate offered by ESMT Berlin. To acquire this diploma,
candidates have to enroll for a minimum of three program
weeks (18 days) spread over a period of 30 months. The
postgraduate syllabus covers all major topics on leader­ship
and general management.
We have further divided the course of study into three tracks:
Leadership and Social Responsibility, Managing Technology,
and General Management. The tracks allow par­ticipants to
customize their course of study to suit their personal needs.
The programs have been designed – and will be led – by ESMT
faculty members and ESMT visiting faculty, who will also advise participants throughout their studies. Programs are offered in both German and English.
Tuition fees vary, depending on the number of programs participants choose.
Data Analytics for Decision Making is part of the cluster Core
Compe­tencies and counts towards 1 of the 18 days necessary
to receive the diploma.
POSTGRADUATE DIPLOMA
IN MANAGEMENT
For more information go to:
www.esmt.org/postgraduatediploma
ADMISSIONS MANAGER
PROGRAM MANAGER
Our admissions manager, Laura Campos, will be
glad to answer any questions you might have
regarding this program.
With respect to the program’s organization and
your accommodation during the program, please
contact the program manager, Paulin Conrad.
+49 30 212 31 1036
laura.campos@esmt.org
+49 30 212 31 8063
paulin.conrad@esmt.org
ESMT
European School of Management and Technology GmbH
ESMT Berlin
Schlossplatz 1
10178 Berlin
Germany
www.esmt.org/analytics
www.esmt.org