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.
Этот курс входит в специализацию ''Специализация Introduction to Business Analytics and Information Economics'
Об этом курсе
Иллинойсский университет в Урбане-Шампейне
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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Лучшие отзывы о курсе INFONOMICS I: BUSINESS INFORMATION ECONOMICS AND DATA MONETIZATION
I'm very grateful to coursers for this opportunity. My horizon of knowledge on business and how harnessing the potential in information can help an organization accrue revenue
A well-structured course helps to get a good understanding of Business economics and Data analytics. A lot of learnings with multiple case studies for better understanding.
To have Doug Laney teach this course regarding this developing field of study is amazing. He presents - as you would expect - very well. Very informative and interesting.
A starters course with real life insights and cases. Best for professionals trying to under the nature of BI and Data Monetisation.
Специализация Introduction to Business Analytics and Information Economics: общие сведения
This specialization targets learners who seek to understand the opportunities that data and analytics present for their organization and those interested in the value of and implications for data as an asset to their organization. Individuals who manage data and make decisions about how data can be leveraged in their organization will find this specialization of particular value.
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