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Big Data Strategies to Transform Your Business (MOOC)

Big Data Strategies to Transform Your Business (MOOC)

Use the disruptive power of big data to make your organization’s business strategy and model, as well as your own career path, future-proof. Learn about how big data strategies can reshape your business model.

About the course

While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization.

This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position.

Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to:

  • assess their current situation regarding potential big data-induced changes of a disruptive nature,
  • identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and
  • strengthen their own position and that of their organization in our digitized knowledge economy

The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes.

During the course, your most pressing questions will be answered in our feedback videos with the lecturer. In the assignments of the course, you will choose a sector and a stakeholder. For this, you will develop your own strategy and business model. This will help you identify the appropriate organizational structure and potential contributions and positions for yourself.

Check out: German School to Offer Industry 4.0 Classes

What you will learn

By the end of the course, you will be able to:

  • Identify the stakeholders and characteristics of your sector in the era of big data;
  • Identify potential big data induced changes in strategy, business model, organization and job descriptions;
  • Substantially change existing strategy, business model, organization or adopt new ones as required;
  • Find and develop strategically important tasks for yourself in your organization.

About the instructors

Marijn Janssen is full professor in ICT & governance and chair of the Information and Communication Technology section of the Technology, Policy and Management Faculty of TU Delft. His research interests are in the field of orchestration, governance, shared services, intermediaries, open data and infrastructures within constellations of public and private organizations. Marijn was recently designated as the top researcher in the area of eGovernance, and has been recognized as such several times in the last decade.

Claudia Werker is an associate professor in Economics of Technology and Innovation at the Department Technology, Policy and Management at Delft University of Technology. She is also visiting professor at the Research Area Technology, Innovation, Marketing and Entrepreneurship (TIME) at RWTH Aachen University. She has been teaching Bachelor, Master and PhD students in the field of Economics of Innovation and Technology. Claudia Werker received her PhD-degree in Economics (Dr. rer. pol.) from Freiberg University of Technology, Germany (summa cum laude). Starting with her PhD thesis she has been studying the creation and dissemination of innovation and knowledge in innovation systems. Currently, her recent research focuses on management of technology and innovation, the economic effects of big data and design for values.

Scott Cunningham joined the faculty in 2004. Prior to joining TU Delft, he worked in the computer and software industry, creating analytical models for commercial clients. His work on national innovation indicators helps inform policy for the governments of the U.S., the U.K. and Malaysia. Scott Cunningham is interested in operations research and decision sciences approaches for policy making. In particular, he is interested in probabilistic models of social exchange. Other interests include building multi-actor systems theory through the economic sociology and innovation policy literatures. A recent publication is Tech Mining (with Alan Porter), a book on assessing new technology developments.

Duration: 6 weeks, 7-10 hours per weeks

Language: English

Instructors: Marijn Janssen, Claudia Werker and Scott Cunningham

Institution: Delft University of Technology

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