Mejores prácticas digitales de gran consumo MK2-154
The digital channel turns out to be successful in different consumer goods companies. An ideal tool to create a strategy based on the strengths, weaknesses, opportunities, and threats (SWOT) from the company itself. In this sense, it seeks to face the battles with the price and physical stores, as well as challenging territories where the manufacturer and/or provider have greater prominence.
Carrying out the best digital practices allows you to approach the client more directly, unlike how it was done before the irruption of the digital channel. Therefore, it calls us to reflect on the trends and transformations that have been carried out by different companies, adapting to their needs and creating an updated digital marketing strategy.Academic Area:Digital Technologies & Data Science | Marketing & Communications
Machine Learning SI2-108-M
This multimedia is in a template form with the goal of giving students a background on machine learning, its types, and examples of what it’s used for. It is a simple and straight-forward material that involves text, video, GIF and interactive tools (quizzes, etc.)
The breakdown of sections is as follows:
2) What is Machine Learning
3) Why Now?
4) Infrastructure Needed
5) Types of Machine Learning
6) Test Your ML IQ
The tutorial is meant for students to do before they come into class, to give them a taste of the area of machine learning, without going too much in-depth (that will be the professor’s role).Academic Area:Strategy | Entrepreneurship | Digital Technologies & Data Science | Innovation
Ciudades, innovación y talento GE2-135
This technical note explains the fundamentals of the ecosystem for innovation and talent and its importance for the city. We can understand the role of human capital and how important talent is for the ecosystem, where several factors converge for the generation of ideas, products, methods or processes and that encourage entrepreneurship.
Through this document, we will be able to know what talent is and how it is associated with human capital, why talent is important to the ecosystem of innovation and economic growth of a city and what aspects are necessary for a city to have an urban ecosystem of innovation and talent.Academic Area:Entrepreneurship | Others | Innovation
Big data en rating de empresas SI1-155
The analysis of the activity and solvency of a company is one of the most classic applications of statistical and analytical methods. When deciding to give a loan, expanding or cutting financing, financial institutions no longer apply subjective criteria. Instead, they use scientific tools, one of them called rating.
This document In addition to the theoretical concepts includes a case study that explains how a Spanish company enters in the business of providing rating services.Academic Area:Digital Technologies & Data Science
Técnicas de innovación MK2-144
This learning material describes the method that is necessary for the process of innovation of a brand. From the attitude and inspiration to the sophistication of the message to influence the perception of who receives it.Academic Area:Marketing & Communications | Innovation
Plan de Continuidad del Negocio SI2-106-M
Problems and issues affecting companies occur both inside and outside the firm across all industries. Not being prepared to manage such issues is effectively setting up the company for disaster”. This technical note teaches students a practical framework that can be used for preventing issues that alter operations as well as to prevent or limit the impact of those issues that have already occurred on critical operations with the objective of reducing the risk of loss of business reputation or even closure.
This technical note includes a framework for designing a Business Continuity Plan which can be used across all sectors and industries. The framework consists of five phases: Analysis Strategy Implementation Testing and Validation and finally Continual Maintenance. Each of these phases are explained in a practical manner and include the experiences of experts about how they designed the plan for in their company as well as the most critical factors that an organization must respond to for the correct management of issues.Academic Area:Digital Technologies & Data Science
Big Data SI2-107-M
This tutorial is aimed at introducing students to the main concepts of Big Data. The material includes videos interactive exercises supplementary material and elements of gamification. Students will learn about the origins of the Big Data concept its definition and characteristics the technologies used and when Big Data is suitable for business.
In addition students will have a chance at putting into practice their knowledge and to consider the latest trends surrounding this technology. All of this intertwined with elements that will keep students entertained throughout their learning. For example badges can be won along the way recognizing the knowledge acquired while helping to increase engagement with content.
This material can be used in undergraduate and graduate programs (especially MBA and other management programs) as well as in executive education courses where topics such as technology management and digital business are incorporated.Academic Area:Digital Technologies & Data Science
Principales conceptos sobre métodos cuantitativos DO2-129-M
This is a series of videos that help students to understand the main concepts covered in the Quantitative Methods course. These videos are enhanced through the use of presentations and diagrams on an interactive whiteboard in order to simplify the understanding of the topics. The topics covered are the following:
- Introduction to Probability
- Conditional Probability and Bayes’ Theorem
- Random Variables
- The Normal Distribution
- Sampling & Confidence Intervals
- Hypothesis TestingAcademic Area:Operations & Supply Chain Management
Business Intelligence SI1-131-M
The main objective of this material is for students to understand both the structure of the business intelligence system and what it is used for through interactive graphs and animations. It covers the topics of Data warehouses and Online Analytical Processing (OLAP) within Business Intelligence systems.
Given the multidimensional component of OLAP systems it is a difficult concept for students to understand and these interactive graphs and animations help them to fully understand these concepts in an entertaining way. Finally students will be able to see the effect of these systems on real businesses.Academic Area:Digital Technologies & Data Science