Service Analytics Research Group

Advanced Business Analytics

Lecture and exercise course for master students

Prof. Dr. Catherine Cleophas (lecture)
Peyman Kazemi (exercise course)



The course focuses on the predictive analysis of processes and systems. To this end, participants are introduced to methods of explorative and intelligent data analysis, concentrating particularly on machine learning and data mining.
While predictive data analysis can be used to create forecasts, it can also be employed to estimate model parameters. The data resulting from computational models, in turn, requires intelligent methods of analysis. When insufficient empirical data is available, we consider how simulation can be employed for data farming.



The course will consider the following topics:
  • The role of data in the firm and to support operational, tactical, and strategic decision making
  • Standard data management concepts, OLAP
  • Relational versus non-relational data bases
  • Data “munging”
  • Datamining: supervised and unsupervised methods
  • Evaluation of predictive models: Splitting data sets and cross-validation
  • Data visualization and communication


Participants gain theoretical background knowledge in the following areas:
  • concepts of data management in the business context
  • methods of explorative and intelligent data analysis
  • basic machine learning concepts and the challenges of “big data”
  • analysis of stochastic simulation results
They also gain hands-on experience in applying these concepts to case scenarios in Python.



  • None



  • Law: Simulation Modeling and Analysis (2014)
  • North & Macal: Managing business complexity: discovering strategic solutions with agent-based modeling and simulation (2007)
  • Witten, Eibe & Hall: Data Mining: Practical Machine Learning Tools and Techniques (2011)
  • Further literature is announced during the module


Further information:


Detailed information, room numbers, times and dates of lectures, tutorials and exams will be published on UnivIS and OpenOLAT.