Online (Lecture) Module: The Economics of (Big) Data





Topics of this Online Module:

  • Economic Characteristics of Data
  • General Concepts of Economics Applied to Data and Analytics
  • Economics of Data
  • Economics of Data Privacy
  • Data Governance and the Economics of Data Onwership


Videos of this Online Module


I. Video - What about Data?

Topics covered in this video:

  • What is Data?
  • Why is Data Important?
  • Why are data not the new oil?
  • Characteristics of Data

Slides of this Video (in PDF)



II. Video - What about Economics?

Topics covered in this video:

  • What are the Economics of Data and Analytics?
  • Economics and Economic Efficiency
  • The Economic Value Curve
  • The Economic Multiplier Effect
  • Marginal Propensity to Consume
  • Dilemma of Scarcity
  • Postponement Theory
  • Price Elasticity and Data Ramifications

Slides of this Video (in PDF)



III. Video - What about Economics of Data?

Topics covered in this video:

  • Overcoming the Data Scarcity Dilemma
  • Transforming the Economic Value Curve
  • Predicting Lift to Change Ones Economic Value Curve
  • Analytic Profiles Capture Individual Entities Analytic Insights
  • Managing Efficiency Challenges
  • Data as Capital
  • The Price of Data

Slides of this Video (in PDF)



IV. Video - What about Privacy?

Topics covered in this video:

  • Consumer Benefits and Costs of sharing Data
  • Usage-based Insurance Driving Trackers
  • Privacy as Source of Economic Inefficiencies
  • Disclosed vs. Protected Data

Slides of this Video (in PDF)



V. Video - What about Data Governance?

Topics covered in this video:

  • Data Concentration
  • Consumer Data Ownership Concept
  • Summary

Slides of this Video (in PDF)





All Slides Presented in All Videos (combined together)

Here you can download the slides, which were introduced, explained and presented in the videos of this online module on the Economics of (Big) Data.





Legal Disclaimer

Lecture recordings are made for the benefit of students to have access to the course content regardless of geographic location. Any personal recording or other non-academic use of these sessions is strictly prohibited. The recordings may not be shared, copied or redistributed without the explicit permission of the instructor. Forwarding, uploading to YouTube or other platforms or commercial distribution is strictly prohibited and will be prosecuted. Similarly, the accompanying slides are developed to illustrate the course content and made solely for the convenience of students. They may not be shared, copied or redistributed without the explicit permission of Prof. Dr. Florian Stahl.






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