Data Analytics in Organisations and Business

Autumn semester 2019

General information

Lecturer Isabelle Flueckiger
Lectures Fri 14-16 HG G 5 >>
Exercises Every second Fri 16-18 HG G 5 >>
Course catalogue data >>

Course content

On the end-to-end process of data analytics in organisations & business and how to transform data into insights for fact based decisions. Presentation of the process from the beginning with framing the business problem to presenting the results and making decisions by the use of data analytics. For each topic case studies from the financial service, healthcare and retail sectors will be presented.


Course materials

The lecture notes from 2015 are available here .

Week Topic Material
Week 1 Introduction
Week 2 Framing the business problem
Week 3 Framing the analytics problem I
Week 4+5 Framing the analytics problem II
Week 6 Framing the analytics problem III
Week 7 Framing the analytics problem IV
Week 8 Problem Solving Approaches I
Week 9 Problem Solving Approaches II
Week 10 Prescriptive Methods
Week 11 Model set up and validation
Week 12 Identification of model structure
Week 13 Prescriptive Methods
Week 14 Model lifecycle

Series and solutions

The series' solutions can be handed in during the lecture or be emailed to Isabelle. It is not required to submit your solutions.

Previous exams

Year Questions Solutions
2015 (Winter) Questions 2015 Solutions 2015