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The course takes place regularly in the winter semester .

In the winter semester 2025/26, the course will take place at the following times:

  • Lecture:
    Tuesdays, 4:00 pm - 6:00 pm c.t., H19
     
  • Exercise:
    Thursdays, 4:00 pm - 6:00 pm c.t., H19

You will receive current and further information in GRIPS (external link, opens in a new window)and in the first lecture!

The dates can also be found in the current course catalog (external link, opens in a new window) in SPUR.

The concepts from the lecture will be applied and deepened in the exercise.

Nowadays, large amounts of data are available that provide a valuable basis for decision-making for organisations and consumers alike. Both players provide data dynamically in
both players dynamically provide data in a digital marketplace and simultaneously benefit from the available information on products and offers in order to make optimal decisions. As part of the digital purchasing process, the players interact in several phases, which range from the customer's need to the purchase decision to customer feedback (e.g. reviews). It is therefore in the interest of all market participants that data-driven processes are designed in the best possible way. The operators of digital platforms and marketplaces can organise and control data access and the information available to the players in a targeted manner. In this way, they have a strategic influence on market activity and market results. At the same time, data itself becomes an asset that contributes to operational value creation in a variety of ways. As such, it can also be shared between organisations and traded on digital marketplaces.
 

Topics:

  • Basics of the data business
  • Data as an economics commodity
  • Data-driven value creation in organisations
  • Asymmetric information in markets
  • Data sharing and data trading between organisations
  • Data protection and data governance
  • Adaptation of mobile technologies
  • Measuring the effectiveness of online advertising
  • Modelling of consumer decisions
  • Electronic word of mouth, in particular online customer reviews
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