Data Monetization, Management, and Trends

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Course Features

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Duration

6 weeks

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

The world of data is dynamic, presenting both challenges and opportunities. Organizations that seek a competitive advantage can explore various data monetization strategies and how they can drive growth in different business contexts. This course helps you understand key strategic directions, assess what is required to manage data securely and ethically, and explore the implications of using different data architectures. You will also discover the implications of emerging and disruptive data trends.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Learn how data can create better business processes, improve the customer experience, or be sold as an asset.

Learn how to analyze what an organization needs to do to respond to the future competitive risks posed by disruptive data-driven technologies.

Learn how to analyze what data monetization strategy a business should pursue based on its context, and the best practices for data security and digital ethics.

Learn how to identify the opportunities and challenges presented by new data sources and disruptive technologies.

Learn how to investigate the nature of the data life cycle, and the strategic and business implications of using different data architectures.

Course Instructors

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Ignacio Charfolé

Head of Architecture, Governance and Big Data Development, Telefónica at IE University

Ignacio Charfolé is an experienced manager and big data leader with a proven 25-year history of working in the data and telecommunications industry. A strong business development professional, Charfo...
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Professor Rafael Ballester-Ripoll

Assistant Professor, Data and Computer Science at IE University

Rafael Ballester-Ripoll has been a tenure-track assistant professor at the School of Science and Technology (IE University) in the areas of data science and computer science since 2019. Prior to that...
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