Data-Informed Business StrategiesSemester Course

Data-Informed Business Strategies
Major Discipline(s)
Business, Management
Type
Elective Course
Available
Fall/Spring semester
Credit(s)
3

To succeed in today’s data-driven and fast-paced business landscape, you need the ability to make quick decisions. But in situations where going with your gut feeling is not enough, you need stronger arguments to back your decisions. Here, data can help you in informing and supporting your decision-making. In order to collect useful data it is important to be able to ask relevant questions and to know how to find precious insights. That’s what data-driven decision making is all about.

This course will teach you how to build the bridge between business challenges and data-informed decisions. You will learn to develop your own framework that easily translates complex questions into simple hypotheses that can be tested using data and analytics. The course aims at teaching you how to use simple yet powerful frameworks for tackling strategic business challenges and supporting your decision-making by using data to inform those decisions.

The scope of this course is to provide students with a practical experience of a data analysis in a Scandinavian context. Students will have the opportunity to work on real projects carried out in big Danish companies (among them Danske Bank, Oticon, and Radiometer) and gain real experience in making data-driven decisions.

The course aims to be simple but complete. We will touch (and sometimes we will go a bit deeper into) the most important arguments for a data-driven decision making.

“In God we trust. All others must bring data.” – W. Edwards Deming

 

Related Discipline(s)

This course would also be of interest to the following discipline(s):
Computer Science, Leadership Studies

Faculty

Nicola Menale

DIS Copenhagen Semester Faculty

Studied Business Economics in Vanvitelli University (Italy) in 2011 (with Thesys focused in Game Theory & Microeconomics). MSc in Economics and Social Sciences in Bocconi University (Italy) in 2013 with Thesys focused in Game theory & Decision Making. Master in Data Science at Nicoló Cusano University (Italy) in 2020 with Thesys focused in Deep Neural Network. Since 2013 he is working in Copenhagen in the data analysis field. He worked for International companies as Oticon A/S, Hollister inc., Radiometer A/S and he is currently working in Danske Bank as Senior Business Intelligence Analyst. Nicola's motto is "In God we trust, all the rest must bring data"." With DIS since 2019.