Retention and dropout of higher education students is a subject that must be analysed carefully. Learning analytics can be used to help prevent failure cases. The purpose of this paper is to analyse the scientific production in this area in higher education in journals indexed in Clarivate Analytics’ Web of Science and Elsevier’s Scopus. We use a bibliometric and systematic study to obtain deep knowledge of the referred scientific production. The information gathered allows us to perceive where, how, and in what ways learning analytics has been used in the latest years. By analysing studies performed all over the world, we identify what kinds of data and techniques are used to approach the subject. We propose a feature classification into several categories and subcategories, regarding student and external features. Student features can be seen as personal or academic data, while external factors include information about the university, environment, and support offered to the students. To approach the problems, authors successfully use data mining applied to the identified educational data. We also identify some other concerns, such as privacy issues, that need to be considered in the studies.

The current technological evolution allows us to easily and quickly obtain more information, computing capacity, communication and connectivity, in addition to allowing new forms of collaboration between disperse networks of diversified actors. This new reality not only offers enormous potential for innovation and enhanced performance for organizations but also, extends beyond the classic boundaries to affect individuals, other organizations and society in general. At the same time, this reality makes the ability of organizations to uphold their competitive advantage more challenging, since the control of the elements of their operating environment decreases drastically as they increasingly control the elements of the same environment. This is how the digital transformation of organizations becomes unavoidable, because otherwise they tend to disappear. In this context, it is necessary to infer our students’ methods for researching, identifying and taking solutions about if organizations in Portugal are already living the aforementioned digital transformation or if they are aware of the need to adapt to this new reality. The main goal of this research formatted as educational approach, is to evaluate and compare the current state of digital adoption in terms of the preparation according to the prevailing technological categories (pillars and innovation accelerators), as well as future priorities of organizations in the implementation of digital transformation in Portuguese organizations. To evaluate such objectives, a Project Based Learning (PBL) approach was used to reinforce the research and decision-making skills of undergraduate business students. Based on the results obtained, it can be concluded that organizations are aware of the need to accommodate the digital transformation not to fail and disappearing. However, it is not possible to conclude which strategy is to be adopted by the organizations, and how such a strategy will affect the organization as a whole, in particular as in respect of its business model.