In recent years, digitalization has led many companies to transform their management model, prioritizing data analysis as a driver for decision making and continuous improvement. In this sense, there is currently a lot of talk about data-driven organizations, new data-driven business models and the value they bring to decision making.

In this scenario, issues such as big data, data analytics and artificial intelligence, data science or business intelligence have become standardized, but beyond technology or analysis techniques, what does a company need to be considered data driven?

The postgraduate course in Data Strategy and Governance provides a global vision of all the variables involved in building a data driven organization: a solid data culture, the right technology, data collection processes, data analysis, decision making, monitoring and continuous process improvement. The company’s strategy must be aligned in all its spheres to data in order to take advantage of it and use it intensively and efficiently. According to Mckinsey Global Institute, data-driven organizations are 23 times more likely to acquire customers, 6 times more likely to retain customers and 19 times more likely to be profitable.

With this postgraduate course, you will understand and master, from a business perspective, concepts such as data governance or data culture that the market is increasingly requiring. In addition, you will fully immerse yourself in it thanks to the practical vision that we offer you with the study of real cases and projects.

Objectiu de l'acte

• To understand what it means to be a data driven organization and what aspects need to be worked on to achieve its transformation.
• Know the current context of data in organizations and get a practical view of real projects in the ICT sector.
• Acquire the necessary foundations to work on the strategy, management and governance of data with cutting-edge knowledge of the latest trends, such as data driven, data fabric, data literacy, etc.
• Master technological trends such as cloud, big data, business intelligence or artificial intelligence.
• Acquire the ability to perform data management and governance functions.
  Understand the dynamics of working with multidisciplinary teams (technological and business) to provide a holistic view of the value of data in organizations.

T'interessa si ets...

Graduates in technical degrees related to computer science or programming such as Computer Engineering, Telecommunications, Electronics, Industrial Engineering or Physics, Professionals with experience in data management, business intelligence, advanced analytics or information consumption, seeking to acquire a holistic view of the value of data and its integration into the business model of companies and Consultants and other professional profiles seeking to specialize in areas of data management and governance.