Digital Business in the Era of Big Data (2235.YR.002545.1)

General information

Type:	OPT	Curs:	1,2,3,4	Period:	S semester
ECTS Credits:	4 ECTS

Teaching Staff:

Group	Teacher	Department	Language
Year 1	Xavier Puig Farre	Operaciones, Innovación y Data Sciences	ENG

Group	Teacher	Department	Language
Year 2	Xavier Puig Farre	Operaciones, Innovación y Data Sciences	ENG

Group	Teacher	Department	Language
Year 3	Xavier Puig Farre	Operaciones, Innovación y Data Sciences	ENG

Group	Teacher	Department	Language
Year 4	Xavier Puig Farre	Operaciones, Innovación y Data Sciences	ENG

Prior technical proficiency is not a requirement for this course. This study offering aims to equip you with the essential technological insights necessary to navigate and steer the enterprises of the future. Regardless of your technological proficiency, whether a novice or an expert, this course promises to enhance your understanding of key technological concepts. Students from law or economics backgrounds are particularly encouraged to enroll, as this course provides a unique opportunity to merge these disciplines with the evolving landscape of digital business in the big data era.

This course focuses on understanding the impact of new technologies on business, help students to identify business models and revenue sources. The course is designed to equip the leaders of tomorrow with the skill set to manage and lead a successful organisation in the digital age, helping individuals to identify the key elements of how to deliver digital success within their business.

At the end of the course, students should:

1. - Grasp the essence of digital business, envision the progression of present-day business procedures, and comprehend its significant influence on managerial functions.

2.- Decode the intricate nexus of industry dynamics, technological advancements, competitive forces, and regulatory stipulations that constitute the foundation for emerging business models.

3.- Gain an intimate understanding of digital transformation. You'll be poised to critically evaluate, formulate, and execute digital strategies while utilizing key concepts of the new economy.

4.- Engage in thoughtful discourse around pioneering forces like artificial intelligence, robotics, analytics & big data, mobile technologies, cloud computing, social media, IoT, and 3D printing. Enhance your ability to forecast future digital trends.

5.- Attune to the profound implications of digital technologies on society, and envisage their potential impact on the present and future world.

1. UNDERSTANDING THE DIGITAL FRAMEWORK Explore the essentials of the digital landscape. Learn key aspects of digital business, industry trends, technological advancements, and their transformative impact on today's business ecosystem.

2. DIGITAL & BUSINESS MODELS Dive into the intersection of digital innovation and business modeling. Understand how modern technology reshapes traditional strategies and paves the way for novel business structures.

3. DIGITAL STRATEGY Delve into the blueprint of digital strategy. Learn how to shape, implement, and adapt strategic plans in the ever-evolving digital business environment.

4. DIGITAL TRANSFORMATION Unearth the nuances of digital transformation. Discover how to leverage technology to revolutionize business processes, culture, and customer experiences

5. IMPLICATIONS OF NEW TECHNOLOGIES Dissect the implications of emergent technologies. Gain insights into how innovations like AI, IoT, and Big Data are altering business landscapes and societal norms

To achieve the objectives, the course is designed to give students an understanding of the issues associated with conducting a digital business, in both theoretical and applied ways through case studies, in-class discussions, lectures, guest speakers and a group term paper project.

Case Studies. Generally, half of the sessions will be devoted to the analysis and discussion of cases. The case method is one of the most effective pedagogical tools to sharpen your analytical and decision-making skills, as it requires you to be an active participant in decisions. Cases intend to give you practice in assembling data, supporting and discussing decisions. Moreover, the case method provides a vehicle by which to apply theories, concepts, and frameworks that we discuss in class or which you find in the assigned readings. Finally, the discussion constitutes an opportunity to defend your position and to learn from others, by listening to their comments and criticisms. Everything on a "safe environment", where there are low risks when mistakes are made. Classrooms are our training environments to prepare you for business challenges.
Lecture/Discussion. Half of the sessions follows a lecture/discussion format. These sessions are devoted to presentation and discussion of frameworks, concepts and theories that are useful for digital practice. In general, these lectures are strongly linked to what we have discussed previously during case analyses.

The lecture/discussion sessions are often accompanied by assigned readings, which may be articles or class notes. During these sessions I do not 'explain' the readings, therefore sessions do not substitute your reading or vice versa. In general, students' participation in these sessions is not as deep as in the case discussions. However, I do expect that you debate some of the ideas and contribute with your experiences. I also expect from you that you read and study the assigned material prior to class, as this accelerates the pace of the session and make discussions richer. Guest professors or experts might also be invited to these sessions. Sometimes is good to learn from experts' experiences.

What do I expect from you in class

This is a discussion course, so I encourage your active participation. Sharing your experience with the group will enrich all the participants and make the sessions more dynamic.

Laptop/tablets policy. Electronic devices are welcome (encouraged) in class, to support learning. Please be mindful that they do not serve as a distraction to you or those around you. Doing these would penalize strongly your grade on class participation.

Feel free to harness generative AI as a creative tool for ideation. However, ensure that the final written output is your original work to enhance your learning journey. Note: We will be employing AI plagiarism detection to uphold academic integrity

TA's and myself will be available for group or individual tutorials during the course. If needed, feel free to contact us by email to schedule an appointment.
A learning area will be available in the Intranet. There, you would find instructions for the sessions, communications, bibliography, etc. Please look at it a couple of times a week. Slides of the sessions will also be posted there.

Group	Teacher	Department
Year 1	Xavier Puig Farre	Operaciones, Innovación y Data Sciences

Group	Teacher	Department
Year 2	Xavier Puig Farre	Operaciones, Innovación y Data Sciences

Group	Teacher	Department
Year 3	Xavier Puig Farre	Operaciones, Innovación y Data Sciences

Group	Teacher	Department
Year 4	Xavier Puig Farre	Operaciones, Innovación y Data Sciences