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  1. Análisis fundamental y análisis técnico (Version Corta) DF2-227

    This technical note explains in depth the technical analysis and fundamental analysis, its components and phases, the sources of information, the areas of action, the objectives of these analyzes and the differences between them.

    It describes in detail on the one hand the financial analysis and the valuation of companies as an important part of fundamental analysis, and, on the other hand, explains what and what for is the technical analysis, its most common terms and theories, and finally, comparison between fundamental analysis and technical analysis.

    Academic Area:
    Financial Accounting | Finance
  2. La cadena de Valor de2-113

    This technical note explores the different models for capturing and explaining the flow of operations in a value chain: the McKinsey model, Michael Porter’s value chain, the value system and the services sector value chain. It presents the argument of how a value chain tool helps to perform an essential, systematic and rigorous analysis of a company’s activities to better understand the costs and potential sources of differentiation. Such analysis can help a company better understand how to enhance its competitive advantage.
    This would be useful in a class devoted to operations, supply chain management or strategy.

    Academic Area:
    Strategy
  3. Basic statistical methods MC021-022-I

    This document introduces students to basic statistical models using step-by-step examples. It takes a look at how we can go from having sample data to data of the population by using two methods: confidence intervals and hypothesis testing. Students are then given practical examples of how these methods can be used. They are taken through each problem step by step and learn how to solve them using Excel functions.

    The examples cover cases like how to determine the optimal number of data in a sample and testing hypotheses for more than two means.

    Academic Area:
    Operations & Supply Chain Management | Others
  4. Quantitative decision analysis MC021-021-I

    This technical note introduces students to quantitative methods and modeling techniques to facilitate decision making. In order to learn how to apply scientific methods to help them choose the best possible strategy to reach their goal. Using an example, students are taught how to make a decision using expected values in order to transform non-controlled variables into a numeric value.                                                                                             

    Various examples are given so that students can learn how to make decisions based on different levels of risk aversion.

    Academic Area:
    Operations & Supply Chain Management | Others
  5. Ross Spain, S.A. SI1-145-I

    The firm Ross Spain S.A. was facing an automation challenge for the creation of quotes for their clients, due to the large amount of these that had been flooding in the previous months. To reduce the time spent on this task, the company thought of creating a spreadsheet that would allow the fast creation of quotes to match this growing demand.

    This case contains the necessary information for the student to then dedicate time to the creation of the spreadsheet that the company needs, thus fine tuning their abilities with this powerful tool.

    Academic Area:
    Digital Technologies & Data Science
  6. Ross España, S.A. SI1-145

    The firm Ross Spain S.A. was facing an automation challenge for the creation of quotes for their clients, due to the large amount of these that had been flooding in the previous months. To reduce the time spent on this task, the company thought of creating a spreadsheet that would allow the fast creation of quotes to match this growing demand.

    This case contains the necessary information for the student to then dedicate time to the creation of the spreadsheet that the company needs, thus fine tuning their abilities with this powerful tool.

    Academic Area:
    Digital Technologies & Data Science
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