As it is a final year subject of the Degree in Information Management and Digital Content, the subject matter it deals with has connections with various subjects of its program, such as: Information Theory, Information Management, Information Retrieval Systems, Statistical Data Analysis, Spreadsheets (advanced level), Information Metrics Techniques, Advanced Statistical Analysis, and Data Visualization. Those students from the Degree program or other programs who have not taken these subjects will have difficulties in following and passing the course. An attendance to theory and practice sessions lower than 60% will penalize 15% of the continuous assessment grade. Furthermore, it is very convenient to have availability to participate in work groups, as group activities have a cumulative value of 15% of the final continuous assessment grade.

The student, after completing the course, must: Understand the value of competitive intelligence (CI) Understanding the different CI and VT models in the world To know the models of application of the CI to the organizations To know the main information resources for the study of the CI Understanding and applying the CI process To apply foresight strategies and techniques for the study of the future as an opportunity for change.

K1: Know the principles and values of democracy and sustainable development, in particular, respect for human rights and fundamental rights, gender equality and non-discrimination, the principles of universal accessibility and climate change. K3: Identify and analyze research methodologies and sources to develop academic work in the field of digital information management K4: Understand and apply the fundamental theories, instruments and techniques to manage information in digital media, covering its organization, control, communication and preservation K5: Know the fundamental theories, instruments and techniques for managing information in digital media, covering its organization, control, communication and preservation K7: Understand the fundamentals of statistics and quantitative analysis to interpret data, as well as the appropriate techniques for their collection and processing, understanding different structures, social contexts and user needs. S1: Plan and organize teamwork by making correct decisions based on available information and gathering data in digital environments. S2: Use the information by interpreting relevant data, avoiding plagiarism, and in accordance with the academic and professional conventions of the area of study, being able to evaluate the reliability and quality of said information. S3: Apply digital information management principles in different organizational environments, ensuring effective communication of processes and results to stakeholders. S5: Be able to design, manage, and operate with information through database systems, demonstrating skill in information retrieval and the use of query languages to meet complex information needs. S6: Be able to collect, process, cleanse and aggregate data by understanding the needs of users and organizations and how they need them. S7: Experiment with data visualization tools to represent information intuitively, properly presenting the results to different types of audiences. S8: Develop skills in the creation of digital content and multimedia editing by applying usability principles. S10: Apply statistical analysis techniques and metric studies to evaluate and measure the impact of data in digital environments. S12: Be able to advise on the definition of strategy and project management regarding tracking, indexing, content structuring, link building, etc C1: Know and be able to manage interpersonal skills on initiative, responsibility, conflict resolution, negotiation, among others, which are required in the professional field. C2: Be able to apply knowledge in a professional way in solving specific digital information management problems using the tools and techniques learned in the academic field C3: Demonstrate ability in the development and execution of digital content projects autonomously working in multidisciplinary teams. C4: Capacity for continuous autonomous learning that facilitates adaptation to new situations and the updating of knowledge in the field of digital information.

1.Theoretical framework 1.a. Definition and associated concepts: Vigilance, foresight, intelligence 1.b. The innovation and technology system. 1.c. The role of the technological information manager in the company 2. Innovation in the company 3. Competitive Intelligence (CI) 3.a. The sources for CI 3.b. CI Methods and Tools 4. Knowledge management in the company 4.a. Analysis and foresight for decision making

LEARNING ACTIVITIES 1. Individual study of theoretical and practical materials prepared and provided by the teachers. 2.Work individually for the resolution of problems and practical cases. 3. Theoretical and practical lessons. 4. Individual and Group Tutoring. 5. Work in groups. 6. Active participation in forums provided on the virtual teaching support platform. TEACHING AND LEARNING METHODOLOGY 1. Classroom presentations, with computer and audiovisual support, in which the main concepts of the subject are developed and the bibliography is provided to complement the students' learning. 2. Critical reading of suggested texts: press articles, reports, manuals and/or academic papers, either for their later discussion in class, or to expand and consolidate knowledge. 3. Solving practical cases, problems, etc., formulated individually or in groups. 4. Exposition and discussion in class or in the virtual forum of the course, on topics related to the content of the matter, as well as practical cases.