Infonomics I: Business Information Economics and Data Monetization

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  • Course Orientation
    • You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
  • Module 1: What is Information?
    • In this module, we are focusing on the definition of Infonomics. You will learn about the difference among Information Technology, Information Economics, and Infonomics.
  • Module 2 The Economics of Information
    • In this module, you will learn why information should be considered an asset. You will also learn about unique properties of information that make it different from valuable physical assets, such as oil, to which it is very often compared in the modern world to indicate the value it possesses.
  • Module 3 Methods for Monetizing Information
    • In this module, you will read many real-life cases that deal with monetizing information, such as Walmart optimizing search results to increase customer acquisition and retention, Trulia training neural networks to create a supplemental revenue stream, and DBS Bank developing a data solution to improve business performance. Throughout all these examples and cases, you will have a clear look at how organizations benefit from monetizing information.
  • Module 4 Applied Analytics
    • Through this module, you will learn about the three “Vs” of big data and how each of them affects the analytics that can be applied to your information assets and how they could be used to generate insights, recommendations, and prescriptions that can add direct economic value to the organization, i.e., how the information assets can be monetized.