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The Role of Data Science, Big Data and Artificial Intelligence in the Digital Transformation

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The Role of Data Science, Big Data and Artificial
Intelligence in the Digital Transformation

What is the potential of Data Science and Big Data in the application to business problems? What impacts of information-intensive technologies in changing organizational decision-making processes?

How to better understand IDC's "Information Digital Transformation" Maturity Model and how to use it to make a preliminary assessment of your organization's stage?

What are the implications of information, knowledge, and collaboration architecture? How do you identify opportunities for monetization and productization of data as new sources of profitability? What are the data privacy issues related to customer information in the context of the new European Commission directives on the subject?

The answers to these and other questions serve as the basis for developing an introductory program on Data Science, Big Data, and Digital Transformation, developed in partnership with IDC.

Partner Entity

  • IDC (1)

Who is it for?

Among the primary addressees of this course are the following:

  • Managers and directors of the areas of information systems and marketing who wish to deepen their digital transformation, in particular, the role that Data Science and Big Data will play in this paradigm shift;
  • Professionals who participate or have responsibilities in the planning, implementation and monitoring of digital transformation projects;
  • Professionals in the area of business analytics who want to understand how their role can contribute to the organization's development;
  • Professionals and consultants who want to develop a clear vision of the role of data and information in the future of business competitiveness.


Module Teacher(s) Hours
Data-Driven Thinking, Data as a Resource and Fact-based Decision Making Fernando Bação 2
Digital Transformation & Maturity Model Information Digital Transformation Gabriel Coimbra 2
Information Visualization, Knowledge Creation and Collaboration in the Big Data World Roberto Henriques 2
Enterprise Case Studies TBD 2
Value Realization, Monetization, Productization and Service Innovation Fernando Bação 2
Data Security and Privacy Bruno Horta Soares 2
Value Realization Workshop with Design Thinking Fernando Bação, Guilherme Victorino, Bruno Horta Soares, Gabriel Coimbra 4

Fernando Bação
Course Coordinator
André Ramos
Data Scientist, Siemens Portugal
Ana Paula Neto
Subdiretora-Geral da Autoridade Tributária e Aduaneira
Mário Campos
Deputy Director-General of Information Systems of the Portuguese Tax and Customs Authority
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This course aims to provide a roadmap of the role of new technologies associated with data and information (data science and big data) in the digital transformation of organizations. The course aims to provide the basis to reflect on how information can become a competitive advantage and a source of wealth creation, differentiation, and innovation. The way information has "infiltrated" all the components of the value chain and transforms them on a daily basis is testimony to the importance it already has in business transformation. Its disruptive capacity will condition value creation, and the "monetization" of data will be determinant in all industries. Organizations capable of mobilizing information to leverage their growth will have a significant competitive advantage and will be able to transform the competitive environment of any industry.
I was incredibly surprised with the approach and contents presented. A journey through the value chain and information flow that circulates within organizations. Mapping the competitive advantages and opportunities of information as a differentiating factor. "Overview" of the new challenges of Industry 4.0 with a constant sharing of knowledge and experiences ending unexpectedly with "Design Thinking".
Curso muito interessante que me permitiu clarificar e sistematizar alguns conceitos fundamentais na análise e exploração de dados.
The course is extremely interesting, calling the trainees to get out of their comfort zone, in the reflection on how data can be an essential asset in the development of organizations and their business models.

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