Thriving in the Information Age compels organizations to deploy information as an actual business asset, not as an IT asset or merely as a business byproduct. This demands creativity in conceiving and implementing new ways to generate economic benefits from the wide array of information assets available to an organization. Unfortunately, information too frequently is underappreciated and therefore underutilized.
Infonomics I: Business Information Economics and Data Monetization
Infonomics I: Business Information Economics and Data Monetization
This course is part of multiple programs.
Instructor: Douglas B. Laney
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4.6
(95 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 13 hours
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What you'll learn
Appreciate the unique economic, accounting, and legal characteristics of information.
Understand and apply methods for conceiving and generating broad-based and transformative business benefits from available information assets.
Identify and adapt traditional asset management principles and practices toward the improved management of information assets.
Measure information’s various value characteristics to help justify or prove information-related expenditures.
Skills you'll gain
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Assessments
32 quizzes
Taught in English
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There are 5 modules in this course
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.
What's included
3 videos7 readings1 quiz1 discussion prompt
In this module, we are focusing on the definition of Infonomics. You will learn about the difference among Information Technology, Information Economics, and Infonomics.
What's included
6 videos2 readings6 quizzes
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.
What's included
9 videos2 readings9 quizzes
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.
What's included
15 videos2 readings10 quizzes1 peer review
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.
What's included
5 videos4 readings6 quizzes
Instructor
Instructor ratings
4.8 (18 ratings)Offered by
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University of Illinois Urbana-Champaign
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University of Illinois Urbana-Champaign
University of Illinois Urbana-Champaign
Build toward a degree
This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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