This course examines why some companies perform better than others in the digital world. It introduces the key concepts, theoretical frameworks and analytical tools that will enable you to understand how companies gain and sustain competitive advantage in a digital ecosystem, as well as the key elements of successful execution. It will cover the major theories, models and tools in the field of strategy, with a strong emphasis on application to complex real-world situations. You will be able to: 

• Connect strategy to business value, describe the main elements of a company's strategy and assess its internal, external and dynamic consistency. 
• Define and analyze the determinants of industry profit.
•  Identify and analyze the sources of competitive advantage.
•  Understand how diversification or vertical integration decisions can help corporations create or improve their competitive advantage.
• Identify the main elements that characterize successful execution. 
• Apply these concepts to technology-intensive industries and companies. • Understand technological geopolitics.

This course provides a series of strategic frameworks for managing technology in organizations to create, capture and deliver value. Throughout the course, the focus is on developing and applying conceptual models that clarify the interactions between competition, technology trends and market dynamics, and the structure and development of organizational capabilities driven by the right decisions about technology acquisition, technology management and technology outsourcing strategies. You will gain a set of tools for identifying high-leverage projects, aligning technology strategy with the business ecosystem, capturing market value and changing organizational capabilities to reflect evolving markets and technological disruptions.

This course will provide you with a comprehensive understanding of financial principles and cost management within digital initiatives. Key topics include funding requirements, cost accounting, project budgeting and financial feasibility analysis. You will learn how to develop compelling business cases, project cash flows and calculate return on investment (ROI) for digital projects. The course also covers cost allocation methodologies, the financial implications of Agile versus waterfall project methodologies and risk assessment. The learning approach combines lectures, practical case studies, group work and individual study, culminating in a final exam and group presentation for evaluation.

What is innovation management? How do companies bring new business models, products and services to market? How can companies shorten the idea lifecycle? This course will explore innovation management concepts, theories of idea generation, selection and strategy formulation and implementation. It will also guide you through innovation management terminology and concepts, the impact of business innovation on the individual, idea management frameworks and how companies need to be structured for constant and sustainable innovation.

In this course, we will examine how information technology (IT) has both transformed how organizations compete and emerged as an important factor in management decisions at all levels of the business. Moreover, our economy is sometimes called the "digital economy," which indicates the pervasive nature and the critical role of IT in business strategies and operations. Technology has also changed how people communicate, collaborate and coordinate work activities.

 How are companies reacting to this disruption? This course will help you analyze the application of technology in its broader context of business transformation drivers and apply it to your own sphere of influence. The key learning objectives you will be introduced to are the critical elements of understanding, designing and developing business models in the new digital world. Digital business models: understanding a business model and describing its basic components, as well as the impact of digital technologies in new business models. Technology, social and economic factors: identifying and understanding the economic and technological factors at the heart of the digital disruption of the economy; changes such as the sharing economy, mobile strategy and empowerment of individuals are key. 

Business model design: understanding and applying concepts, tools and techniques to design appropriate digital business models. Platforms and ecosystems: evaluating the "platform revolution" that is taking place in different industries.

This course will provide a general overview of technology applied to human resources with a special focus on people analytics. You will be able to: 

• Understand digital HR technology and how to use it as a tool for improving HR processes and the HR value proposition in companies; assimilate the concepts, criteria and methods necessary for decision-making in the field of innovation and technology in human resources; and understand the new trends and changes resulting from technological innovation. 
• Define the role of HR in the digital age in order to take advantage of the opportunities offered by innovation in the use of technology in HR.
•  Integrate knowledge and face the complexity of formulating judgments based on information that is incomplete or limited, including reflection on the social and ethical responsibilities associated with the application of their knowledge and judgments; identify stakeholders and define their desired outcomes; translate business and HR language into analytical language and vice versa; and learn how to use HR data, reports and metrics to drive business outcomes.

The course will focus on (a) the identification, modeling, analysis and (re)design of business processes; and (b) following BPM practice, the implementation of related technology solutions in organizations to automate and improve processes. In this context, we will look at how building a process map and how digital technology can enable organizations to further develop and enhance their business processes, both on an inter-organizational level and on an intra-organizational level, thereby facilitating the development of extended organizational networks. This Business Process Redesign course will provide you with the knowledge and skills to analyze, design, transform and manage business processes to achieve breakthrough improvements in effectiveness, efficiency and adaptability while building a KPI map for tracking improvements.

The course focuses on building the foundation of supply chain management (SCM) from various perspectives, inventory management (security stocks, JIT), planning process (sales and production planning), manufacturing (process, discrete, sales to order, configuration), distribution management and transportation, logistics (inbound and outbound), and purchasing function as key components of the supply chain. You will learn key concepts and terms that form the building blocks of the methods, techniques and tools of SCM.

The digitalization of business functions is a dynamic and fresh approach to how digital is positively impacting business operations everywhere. Through real-world, up-to-date cases, you will learn how key industries are rapidly changing their structures, products and ways of working to adapt to the digital landscape and their end users. Learning objectives: 

1. Understand the operational impact of digitalization in industries such as retail, logistics, mobility, telecom, banking, insurance, media and sports. 

2. Connect the impact of innovation and digital to profiles, cultural frameworks and organizational structures. 

3. Apply critical thinking to develop a winning operational digital strategy. 

4. Learn how to use the digital mindset to positively impact a company's balance sheet. 5. Interact and network with professionals in the industries we cover, who will visit us as guest speakers.

The rise of connected devices and changing customer preferences have driven digital transformation globally. The global pandemic accelerated technology adoption and moved companies to remote work, uncovering opportunities and high-end capabilities for competitive advantage and growth. The exponential increase in cybercrime follows this trend in technology adoption. This course will equip you with the foundational cybersecurity knowledge needed for your day-to-day as individuals and future leaders. Because cybersecurity is everyone's responsibility, we will also delve into the broader concept of risk management, in which cybersecurity plays a key role.

The goal of this course is to enable students to meet the industry's requirements for implementing new and smart technologies, emphasizing real-world use cases from existing companies. We will cover all the relevant concepts and technologies, including robotics, AI and the Internet of Things, as well as all the key industry jargon and acronyms.

This course will focus on the major applications of machine learning and artificial intelligence, including the differences between supervised and unsupervised models. We will explain how to build these types of scripts and how to use them in a real business context. You will learn about clustering, classification and regression predictive models, and will evaluate different models to check accuracy.

In this course, you will gain a solid understanding of blockchain technology and its market. Putting theory into practice, you will need to determine if blockchain would be an effective addition to the technology strategy for a given organization. We will look at real-world use cases of blockchain today, as well as cryptocurrencies, fintech and smart contracts.

The digital economy emphasizes the need to continuously uncover market insights to drive decisions, but organizational dynamics can slow these efforts due to the presence of excessive bureaucracy, conflicting incentives, entrenched power coalitions and barriers to information sharing. Within this context, the goal of this course is twofold: a) to provide you with a clear understanding of the psychological and behavioral aspects of organizations that can impede data-driven decision-making; and b) to equip you with tools to design structures and processes that foster engagement, consensus building and commitment to action.

The overall objective here is to provide students with the knowledge, understanding and tools to build digital products based on both user-centered design, conversion-centered design and personalization rules. The course has been split into three main sections:

• Section 1: Students will understand the business value of design, exploring how different companies are leading holistic design strategies to impact their business models, and how they are building digital products to satisfy customer needs.
• Section 2: Students will learn and practice the business value of CRO (Conversion Rate Optimization) and experimentation by understanding the business rules to optimize the digital-product experience. They will also explore different tools currently used by companies.
• Section 3: Students will learn the business value of personalization, understanding basic concepts such as identities, audiences, segments and technologies to create data-based rules for customer relevance.

In this course, you will learn to analyze in depth not only the value propositions, analogies and differences of the main successful online business models, but also the main features for successfully managing these platforms to achieve maximum ROI, both in B2B and B2C scenarios (which, incidentally, are increasingly converging). The program will also cover other key areas such as payments, online marketing tools, legal compliance, logistics strategies and new digital trends (machine learning, AI, 3D printing) to provide a global perspective of internet-based sales channels worldwide. You will learn to calculate the costs, potential ROI, technology, human resources and marketing strategies needed to successfully define and implement an international e-commerce strategy that is fully integrated with the company's overall strategy.

In this course, you will explore the concepts of a digital marketing strategy and its ramifications, exploring the concepts of the evolving digital media ecosystem, the various existing business models and their challenges and evolution, and the key relevance of digital media advertising to marketing today. You will also gain a thorough understanding of the funnel model—a structured framework for defining an effective digital media strategy. You will become familiar with the different audiences, strategies, tools and platforms along the funnel, with a particular focus on the top and middle of the funnel. You will gain an understanding of data-driven advertising and how it is powered by data and ad tech, and learn about the key elements of programmatic media buying and the potential of different data-driven creative strategies.  Today, search engines are one of the main pillars of digital go-to-market, as they determine how visible and reachable your business is compared to your competitors. You will gain the essential skills needed to create search strategies, both organic (SEO) and paid (SEM), as well as learn how to analyze a site's SEO and SEM campaign optimization score and create a SEM campaign.

Learn about robotics process automation (RPA) and how to use it to improve productivity. Understand what exactly a robotic process is and how to model it. We will cover topics such as the role of natural language processing (NLP) in RPA, solution architecture, inputs and outputs, error and exception management, transaction logging and more.

The goal of this course is to explore the various techniques and frameworks used to analyze and manipulate images and to build machine learning models that enable artificial intelligence software to recognize visual objects. Computer vision is one of the key building blocks of artificial intelligence, and its importance is evident in emerging solutions for industrial quality assurance, retail checkout systems, workplace safety monitoring, autonomous vehicles and more. The goal of this course is to help you take your first steps into the exciting field of computer vision. This will be a hands-on course: examples and real-world scenarios will motivate and accompany all elements of theory and will be consolidated using coding examples.

In this course, you will take a deep dive into the current state of natural language processing (NLP). You will learn how NLP works through a real-world sentiment analysis case study coded in Python using NLP libraries. You will also design and implement a real-world use case based on IBM Watson, which we will run in a real end-to-end technical scenario.

This course focuses on transforming data into actionable insights to support decision-making. It covers techniques for uncovering causal relationships, generating forecasts, predicting outcomes and making classification decisions. Key topics include data cleaning, dimensionality reduction, clustering, logistic regression and discrete choice models. Hands-on sessions include the use of industry-standard data analysis tools such as Radiant and StatTools. The course combines lectures, case studies and hands-on workshops to emphasize the application of predictive models to real-world business problems.

In these sessions, we will introduce the practical concepts of data visualization and Tableau Desktop as the tool of choice among market leaders. You will also learn and apply the fundamentals and methodology of data storytelling to communicate insights, a process that combines the science of data with the art of storytelling. The key objectives of these sessions are to:

• Discover data visualization best practices and apply them with Tableau Desktop to become proficient with this tool for creating charts, dashboards and stories.
• Understand data visualization as a fundamental part of data storytelling, avoiding confusion between the two.
• Learn one of the most practical data storytelling methodologies.
• Gain the skills to develop a presentation that, based on all the visual and storytelling techniques explained, helps to effectively communicate a high-value business insight.

This course focuses on equipping you with the skills to successfully implement digital transformation initiatives. It covers assessing digital maturity, aligning transformation strategies with business goals and creating phased roll-out plans. You will learn how to decide between in-house, outsourced or hybrid models, select and manage vendors and create contingency plans. The course will also cover stakeholder engagement, overcoming resistance and using Agile methodologies. Real-world case studies and hands-on exercises will reinforce your learning.

This course guides you through the entire product development process from idea to market entry and growth. It focuses on identifying innovation opportunities, developing commercially viable products and creating solid product development plans. You will learn to manage software development teams, protect intellectual property and examine critical aspects of product strategy. The course covers understanding customers, building prototypes, managing development teams and launching products. Real-world case studies and hands-on exercises will enhance the learning.

This course is a practical introduction to the field of service design using standard methodologies (APQC, etc.). Service design is a human-centered design process used by organizations to create better services. It creates value for users by understanding and improving their experiences at various stages of a service, and for service providers by optimizing their back-end operations. In this course, you will learn the theory and basic methods of service design while applying them to a specific challenge. This will give you both an overview of what service design is and how it can be applied in a real-world context. Several methodologies (e.g. design thinking) will be introduced as key tools to rapidly design and launch new digital services. Your learning objectives in this course are to: 

• Understand the concept of a digital service and its taxonomy; - Design service management tools and systems (the service portfolio and service catalog).
• Provide methodologies for service process, operations and continuous improvement.
• Design metrics and measurement methods for performance analysis and better decision-making.