Open Innovation Campus

Disruptive Technologies

Strategies for the Efficient Control of Processes and Expenses in Emergency Events (CEPGEE)

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Deep Data Exploration: You will be the architect in exploring a vast data set, facing the challenge of identifying essential patterns and correlations. This is not just an analysis exercise, but a treasure hunt where every piece of data can be the key to improving the customer experience.

Are you interested?

If you are a professor or university student and you are interested in participating in the TUTORING program, register your information so that we can start the program.

Student registration
Academic registration

Thematic Context

1. Passionate about Data and Analytics: Challenge aimed at students who are enthusiastic about the analysis of large volumes of data and who have a genuine interest in discovering patterns and trends that can be key to business decision-making.
2. Proactive and Creative: You must be someone who not only follows instructions, but also proposes innovative ideas and original approaches to data analysis and presentation.
3. Solid Technical Skills: It is essential to have a good command of data analysis tools, such as SQL, Python, R, or data visualization platforms such as Tableau or Power BI.
4. Critical Thinking and Problem Solving: Enjoy intellectual challenges and be able to tackle complex problems, analyze them from different angles, and propose viable solutions.
5. Good Communication Skills: The ability to communicate complex findings clearly and effectively to a non-specialist audience is crucial.
6. Teamwork and Collaboration
7. Commitment and Motivation: The project requires a high degree of dedication and enthusiasm for learning and professional development.
8. Interest in Continuous Improvement and Customer Service: A genuine interest in how data can improve the customer experience is critical. This shows alignment with the goals you'll encounter on your go-to-market  

Introduction

In a company that is increasingly oriented towards customer service, Telefónica is constantly looking to improve the experience of its users. Our project is inserted in this dynamic context, offering students the unique opportunity to participate in an in-depth analysis of the data of a company in constant evolution.
This project represents a unique adventure in the world of data analysis and continuous improvement of customer service. In it, you'll dive into the vast ocean of data generated by Telefónica to discover and highlight the continuous improvements we make but often go unnoticed by our customers

Challenge posed

Challenges and Learnings that you will find in this project:
Deep Data Exploration: You will be the architect in exploring a vast data set, facing the challenge of identifying essential patterns and correlations. This is not just an analysis exercise, but a treasure hunt where every piece of data can be the key to improving the customer experience.
Innovation in Data Presentation: Your creativity will be put to the test when looking for innovative ways to present the results. It's not just about graphs and tables; Together we will look at how to create compelling stories with the data that highlight the value and impact of the improvements made.
Real Impact on Business Decisions: Your findings and recommendations won't be on paper. They will be instrumental in shaping possible future strategies. This is your chance to leave a tangible mark on the business world.
Collaboration and Networking: You will meet experienced professionals.
The main purpose will be to achieve a global map in the installation and adaptation of the management of the events, including urgent installation works to improve coverage and provide a better service to our customers

Who is this challenge for you?

Telefónica's Industrial Tutors accompany you in the development of the TFG/TFM, providing their real vision of the industry. They will share their knowledge and experience, offering you feedback so that you can develop a project with an innovative impact.
Oscar Lopez de la Rasilla Telefónica

Oscar Lopez de la Rasilla

Support and maintenance - Operations, Network, IT Team / Telefónica Móviles España