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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/infonomics-1
课程评论：没有评论
课程名称：《信息经济学 I：商业信息经济学与数据货币化》 课程概述： 在信息时代中，组织需要将信息视作真正的商业资产，而非仅仅作为IT资产或业务副产品。这要求组织在利用各种信息资产时具备创造性，开放新的经济利益的获取方式。然而，信息往往被低估，从而未能得到最大化的利用。本课程是信息经济学系列的第一部分，提供一种非技术性的视角，帮助学生理解并利用信息的独特经济特性。课程开始时，学生将探讨信息是否可以被视为资产或财产，并认识到将其视为资产所面临的挑战和机会。接着，课程将分析信息在常见微观经济学概念中的表现，以及如何借此改善信息的管理和利用。最后，课程将探讨信息如何创造经济利益或实现货币化，包括各种商业分析风格如何增强信息对组织的潜在和实际价值。 课程大纲： 1. **课程导览** 描述：您将熟悉课程内容、同学以及我们的学习环境。导览还将帮助您掌握课程所需的技术技能。 2. **模块 1：信息是什么？** 描述：本模块聚焦于信息经济学的定义。您将学习信息技术、信息经济学和信息经济学之间的区别。 3. **模块 2：信息的经济学** 描述：在本模块中，您将了解为什么信息应被视为资产。您还将学习信息的独特属性，以及其与常被比较的有价值实体（如石油）的不同之处。 4. **模块 3：信息货币化的方法** 描述：本模块中，您将阅读多个有关信息货币化的真实案例，例如沃尔玛优化搜索结果以提升客户获取和留存、Trulia训练神经网络以创建补充收入来源，以及DBS银行开发数据解决方案以改善业务表现。通过这些例子，您将清晰地了解组织如何通过信息货币化获益。 5. **模块 4：应用分析** 描述：在本模块中，您将学习大数据的三个“V”及其如何影响您对信息资产所能应用的分析方法，以及如何利用这些分析生成洞察、建议和可增加组织直接经济价值的处方，即如何实现信息资产的货币化。
Name:Course Orientation
Description: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.
Name:Module 1: What is Information?
Description: In this module, we are focusing on the definition of Infonomics. You will learn about the difference among Information Technology, Information Economics, and Infonomics.
Name:Module 2 The Economics of Information
Description: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.
Name:Module 3 Methods for Monetizing Information
Description: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.
Name:Module 4 Applied Analytics
Description: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.
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.
