Name: Infonomics I: Business Information Economics and Data Monetization
Brand: University of Illinois Urbana-Champaign
Availability: OnlineOnly
Rating: 4.6 (37 reviews)

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课程概述

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. This first course in the two-part Infonomics series provides a non-technical perspective on and methods for understanding and taking advantage of information’s unique economic characteristics. Starting with dissecting whether the information is or isn’t an asset or even property, students will begin to appreciate the challenges and opportunities with treating it as one. Then the course examines how information behaves in the context of various familiar micro-economic concepts, and what can be gleaned from this to improve the way information is managed and leveraged. This leads to exploring the various ways information can generate economic benefits—or be monetized, including how various styles of business analytics can increase information’s potential and realized value for organizations....

26 - Infonomics I: Business Information Economics and Data Monetization 的 37 个评论（共 37 个）

创建者 Brilliant S

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May 2, 2023

wHy I can't download the certificate

创建者 Sakshi P

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Sep 14, 2022

Very good course

创建者 Aline G

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Jun 29, 2025

excelente

创建者 Diego I K

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Jun 29, 2025

muy bueno

创建者 HARI C A P

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Dec 11, 2024

Excellent

创建者 Semanto T

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Apr 29, 2023

Excellent

创建者 Alejandra Q A

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Jun 29, 2025

BUENO

创建者 Abhinav L

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Jul 29, 2025

As a retired pioneer in the field of business intelligence consultant, learning about information as an asset to be monetized was interesting. This course is a little bit critical of traditional business intelligence and data warehousing. With more data and AI algorithms now, you can continue to improve analytical applications.