320091 :Business Analytics and Emerging Trends

Algemeen

Voertaal Engels
Werkvorm: Lectures, lab sessions and guest lectures (Collegerooster)
Tentamenvorm: Group paper (40%), written exam (60%) (Tentamenrooster)
Niveau:Master
Studielast:6 ECTS credits
Inschrijving:
Blackboard informatieniet beschikbaar in Blackboard

Docent(en)


prof.dr.ir. H.A.M. Daniels

dr. H. Weigand (Coordinator)

ir. R.J.M.A. Triepels MSc


Doel van de cursus (alleen in het Engels beschikbaar)

With the digitalization of enterprise information systems, the proliferation of internet and the widespread use of mobile devices and sensor technology, the amount of data stored in systems has grown enormously. Simultaneously, high speed CPU and fast massive memory enable new business analytics, like web analytics, text mining and social network analysis.

After completing this course, you will be able to:

  • Explain the main trends in business analytics;
  • Assess new IT developments from a business value perspective;
  • Calculate the value of information (the information gain) in simple cases.


Inhoud van de cursus (alleen in het Engels beschikbaar)

The course consists of lectures, lab sessions, guest lectures and a group paper assignment. Topics covered in the lectures include:

  • Creating value with big data;
  • Information theory;
  • Text mining, social network analysis;
  • Smart auditing, process mining;
  • Machine vs Human Intelligence, Watson technology;
  • Internet of Things.

For each lecture, you have to read some scientific articles or other background material. There are a few lab sessions in which you get hands-on experience with innovative business analytics tools. In addition, guest lectures will provide insight in practical applications in e,g, auditing, marketing and logistics. The objective of the group paper is to give a critical evaluation of the application of business analytics in some business domain.


Bijzonderheden (alleen in het Engels beschikbaar)

The result of the paper is not transferable to the next year.

Students are expected to have a basic level of Statistics, or to acquire that with selfstudy in the first week.


Verplichte literatuur

  1. Verhoef, P.C., Kooge, E. & N. Walk, Creating Value with Big Data Analytics making smarter marketing Decisions, Routledge, 2016. ISBN-13 978-1138837973, ISBN-10 1138837970
  2. Articles and other material to be announced via Blackboard


Mogelijk interessant voor

  • MSc Information Management ( 2015, 2016, 2017 )
  • MSc Marketing Analytics ( 2015, 2016, 2017 )
  • Exchange students TiSEM ( 2015, 2016 )
  • Data Science: Business and Governance ( 2016 )
  • MSc Supply Chain Management ( 2017 )
  • MSc Supply Chain Management: track International Dual Degree ( 2017 )

(05-jan-2018)