Big Data Strategies for Business Transformation
Master big data strategies to revolutionize your business model and advance your career in the digital economy.
Master big data strategies to revolutionize your business model and advance your career in the digital economy.
Discover how to harness big data's transformative power in this comprehensive course from DelftX. Learn to develop effective big data strategies, revolutionize your business model, and future-proof your career. Gain practical tools to assess big data-induced changes, integrate data-driven approaches into your organization, and strengthen your position in the digital economy. Through hands-on assignments, you'll create tailored strategies for your chosen sector, mastering concepts like the business model canvas and organizational theory in the context of big data.
Instructors:
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What you'll learn
Identify stakeholders and sector characteristics in the big data era
Recognize potential big data-induced changes in strategy and business models
Transform existing strategies and business models to leverage big data
Develop organizational structures suited for big data initiatives
Identify and develop strategically important tasks in your organization
Assess your organization's readiness for big data-induced changes
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 6 modules in this course
This course on Big Data Strategies offers a comprehensive exploration of leveraging big data for business transformation. It covers the challenges and opportunities presented by big data in the digitalized knowledge economy, including the machine learning revolution. The course examines how big data is reshaping traditional approaches to strategy and innovation, and how it's transforming the building blocks of the business model canvas. Participants will learn to identify stakeholders and sector characteristics in the era of big data, and how to substantially change existing strategies, business models, and organizational structures as required. The course also addresses the role of leadership in driving big data initiatives, discussing whether the Chief Information Officer, Chief Digital Officer, or CEO should lead the way. Throughout the course, participants will work on assignments to develop strategies for their chosen sector and stakeholder, providing practical experience in applying the concepts learned.
Challenges and Opportunities of big data
Module 1
Stakeholders and Sectors
Module 2
Big data upending strategy and innovation
Module 3
Transforming building blocks of the business model canvas
Module 4
Transforming the organization: CIO, CDO or CEO in the lead?
Module 5
Wrapping up
Module 6
Fee Structure
Instructors
3 Courses
Leading Authority in ICT Governance and Digital Government
Marijn Janssen serves as a Full Professor in ICT & Governance and heads the Information and Communication Technology section at TU Delft's Faculty of Technology, Policy and Management. His research focuses on the design and service orchestration of public-private service networks, examining how technology shapes governance in an increasingly digital world. He has earned international recognition as one of the leading e-government researchers, consistently ranking among the top scholars in his field since 2009.
1 Course
Expert in Economics of Technology and Innovation
Claudia Werker serves as Associate Professor in Economics of Technology and Innovation at TU Delft's Department of Technology, Policy and Management while holding a visiting professorship at RWTH Aachen University's Research Area Technology, Innovation, Marketing and Entrepreneurship (TIME). Her academic journey includes a Ph.D. in Economics from Freiberg University of Technology, Germany, which she completed summa cum laude. Her research portfolio spans the creation and dissemination of innovation and knowledge in innovation systems, with recent focus on management of technology and innovation, economic effects of big data, and design for values. Her influential work includes research on regional innovation systems and agglomeration patterns, examining how different regions develop technological capabilities. Through her teaching of Bachelor, Master, and Ph.D. students, she continues to advance understanding of innovation economics and technology management while emphasizing the essential role of responsible technology development for global well-being.
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