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
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
Do you fear an analytics-driven competitor? You shou … SI1-156-I
Do you fear an analytics-driven competitor? This case explains why you should by discussing how companies blend analytics as part of their competitive advantage to become much stronger players. Firstly, readers are introduced to terms referring to the qualities of an analytics-driven competitor such as information-based strategy, evidence-based decision, analytics and big data. Then, the case looks at the three types of companies that are competing in analytics: companies with analytics as a core competitive advantage, companies that blend analytics with their previous competitive advantage, and startups that have a serious commitment to analytics. It also delves into different types of models such as rule models, formula models, tree models, risk management credit scoring, market mix modelling and social scoring and the model development process. The case wraps up by emphasizing that “you should fear analytics-driven competitors because they are simply becoming leaders in every field nowadays.”Academic Area:Digital Technologies & Data Science