DigiAdvance Course in Business Intelligence - Universitat Autonoma de Barcelona

Transform your business decision-making with the DigiAdvance Course in Business Intelligence. This course is tailored for SME owners, managers, and employees looking to leverage data-driven insights for strategic 
advantage. In today's competitive landscape, understanding your customers, predicting trends, and extracting meaningful information from your data are crucial for growth. This program provides a practical pathway to mastering these essential Business Intelligence (BI) skills. To do this we will use the R software. We will see that R provides us with simplicity and great computing power to extract results.

Throughout the course, you will explore powerful BI techniques:

Session 1: Clustering applied to customer segmentation: Learn how to group your customers based on shared characteristics to tailor your marketing efforts and improve customer relationships. In this session we will apply clustering methods and algorithms to work with volumes of data and segment customers by the characteristics that differentiate them without knowing anything a priori.

Session 2: Prediction of future values: Discover methods to forecast key business metrics, such as sales or demand, helping you with planning and resource allocation. In this session we will apply regression methods and algorithms (mainly Multilinear Regression and trees) to predict future values.

Session 3: Prediction of future events: Gain insights into predicting specific future occurrences, allowing for better risk management and opportunity identification. In this session we will apply classification methods and algorithms (Logistic Regression and Classification Trees) to predict whether an event will happen and what its probability will be. The concepts of probabilities and Log-odds will also be worked on.

Session 4: Extraction of relevant information from a dataset: Master techniques to sift through complex datasets to find the critical information that can drive your business forward. In this session, an algorithm called PCA will be mainly applied to extract the most relevant information from a set of data and, thus, work with less amount of information, but of higher quality (more relevant). We will see how the information is shown to us and how to interpret its results.