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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.

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  • IDC (1)
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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.

Registration and Fees

Enrollment

Applications for this course can be made through the NOVA IMS Applications Portal.

Location

The course will take place at the Campolide Campus of NOVA University of Lisbon.

Course Fees

The fees for this course are € 1.450, which includes coffee breaks, lunches, access to the parking lot, and a Certificate of Participation.

The course fees may be paid in installments: 40% upon confirmation of enrollment in the course and 60% up to 2 weeks before the beginning of the course.

Language

This course will be taught in Portuguese.

Discounts

The discounts below are not cumulative:

  • 10% for Students and Alumni (undergraduate, postgraduate, masters and doctoral) of NOVA IMS, if paid individually;
  • 20% discount when registering 5 people from the same company;
  • 30% discount for entities associated with AD NOVA IMS;
  • 30% discount for IDC Clients.

Program

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
Course Unit
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Syllabus

  • Data-Driven Thinking, Data as a Resource and Fact-based Decision Making

    Objectives

    • Understand the concepts of Data Science and Big Data;
    • Understand the characteristics of data as an organizational resource;
    • Understand the benefits of a data-driven decision-making process.

    Content

    • Introduction to data science and Big Data;
    • The emergence of data as a production factor;
    • The future of decision making: evidence versus intuition.

    Pedagogical Resources

    • Provost, F., and Fawcett, T. 2013. "Data Science and Its Relationship to Big Data and Data-Driven Decision Making." Big Data 1(1):51-59.
    • McAfee, A., and Brynjolfsson, E. 2012. "Big Data: The Management Revolution." Harvard Business Review 90:60-68.
    • Barton, D., and Court, D. 2012. "Making Advanced Analytics Work for You." Harvard Business Review 90:79-83.

  • Digital Transformation & Maturity Model Information Digital Transformation

    Objectives

    • Understand the key components for assessing the maturity level of Information Transformation in organizations;
    • Understand the stages, key factors, and expected outcomes for Information Transformation as a critical factor for the digital transformation of the organization;
    • Empowering decision-makers with an assessment and benchmarking tool to define short- and long-term goals and improvement plans.

    Content

    • IDC Vision for Digital Transformation;
    • Presentation of IDC MaturityScape: Information Digital Transformation 1.0;
    • Application of the assessment model and benchmark;
    • Analysis of improvement factors for a more mature Information Transformation in organizations.

    Learning Resources

    • IDC MaturityScape: Digital Transformation;
    • IDC FutureScape: Worldwide Analytics, Cognitive/AI, and Big Data 2017 Predictions;
    • IDC MaturityScape: Information Digital Transformation 1.0;
    • IDC MaturityScape: Information Digital Transformation 1.0 - Benchmark.

  • Information Visualization, Knowledge Creation and Collaboration in the Big Data World

    Objectives

    • Understand the current information architectures that support digital transformation and analytic organizations;
    • Understand how Business Intelligence contributes to maximizing business value and creating competitive analytical advantages through analytical approaches that support knowledge management in organizations;
    • Understand the role of analytical applications in monitoring the performance of organizations and supporting collaboration through storytelling, data visualization, and manipulation tools.

    Content

    • Knowledge Management and Business Intelligence;
    • Informational architectures to support Data-Driven organizations;
    • Identify and build the key indicators of analytical applications (KPIs) in an enterprise context;
    • Design the CxO dashboard.

    Educational Resources

    • Business Intelligence: A Managerial Perspective on Analytics (2014), by Dursun Delen, Efraim Turban, David Ramesh Sharda;
    • Introducing Microsoft Power BI (2016), by Alberto Ferrari and Marco Russo.

  • Value Realization, Monetization, Productization and Service Innovation

    Objectives

    • Understand the economic implications of information as an asset;
    • Understand the main business models;
    • Understand the concepts of monetization and productization of information.

    Content

    • Fundamentals of pricing in information products, versions, network effects, standards, cooperation strategies;
    • Informational business models: information-based differentiation, information selling, and distribution networks;
    • Data science for humans and data science for machines.

    Pedagogical Resources

    • Shapiro C, Varian HR. 1999. Information Rules: AStrategic Guide to the Network Economy. Harvard Business School Press: Boston, MA.
    • Wang, R. 2012. What a Big-Data Business Model Looks Like. Harvard Business Review.

  • Data Security and Privacy

    Objectives

    • Know the risks related to emerging technologies, particularly Big Data & Analytics;
    • Frame Information management in the context of corporate Information Systems governance and management;
    • Understand the basic principles that individuals and organizations can use to ensure the protection of data security and privacy;
    • Know the guidelines for implementing a program to implement a corporate governance and management framework for Information security and privacy.

    Content

    • Presentation of the leading legal and normative requirements related to security and privacy, in particular, the new General Data Protection Regulation (GDPR);
    • General framework of the principles and enablers of governance and management of Information security and privacy and presentation of related best practices;
    • Design and implementation of an Information security and privacy governance and management framework;
    • Implementation of the organizational structures supporting information security and privacy (CISO, CSO, and CPO);
    • Launch of the privacy protection program;
    • Practical cases and application examples.

    Pedagogical Resources

    • General Data Protection Regulation;
    • ISACA Privacy Principles and Program Management Guide.

Teaching Staff

Bruno Horta Soares

Managing Director, Accenture Technology, Portugal SAP

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Fernando Bação

Professor at Universidade NOVA de Lisboa

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Gabriel Coimbra

Country Manager at IDC Portugal

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With over 20 years of experience in the Information and Communication Technologies market, Gabriel Coimbra is Group Vice President of IDC and responsible for IDC's operations in Portugal, the world's leading company in the area of market intelligence, advisory services, and organization of events for the Information Technologies and Digital Transformation markets.

In addition to management activities, Gabriel Coimbra is directly involved in designing and coordinating various studies and advisory services that IDC develops in Portugal. He also contributes to several consulting and advisory projects of IDC in Portugal. At the EMEA level, he is part of the team developing new consultancy and advisory practices in IDC. He cooperates on post-graduate and executive programs in Information Systems and Digital Transformation at NOVA IMS. His opinion is regularly quoted in the specialized and economic press. Gabriel Coimbra has a Master's degree in Statistics and Information Management from NOVA IMS and a post-graduate degree in Advanced Management from Universidade Católica.

Guilherme Victorino

Professor at Universidade NOVA de Lisboa

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Roberto Henriques

Professor at Universidade NOVA de Lisboa

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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.