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Big Data for Business

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Big Data for Business

What are the challenges of Big Data Analytics and its specificities in the context of business strategy?

How can we better understand the challenges of analyzing large volumes of structured, semi-structured, or unstructured data? What are the main technological components of Big Data? What are the infrastructure and project management requirements needed to implement successful data analytics projects?

The answers to these and other questions serve as the basis for developing an introductory program to Big Data, developed in partnership with SAS. By the end of the Program, participants should be able to understand and apply Big Data Analytics techniques.

Who is it for?

The primary recipients of this course include:

  • Executives involved in sales, marketing, customer relations, e-commerce digital platforms, and IT management;
  • Professionals who want to deepen their knowledge of Big Data and learn more about the success factors and transformational capacity of Big Data;
  • Qualified professionals, with or without expertise in the area, who are interested in expanding their knowledge in Big Data Analytics.

Teaching Staff

General Information

Enrollment

Enrollments for this course are made through the NOVA IMS Applications Portal.

Course Fees

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

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

Venue

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

Language

This course will be taught in Portuguese.

Discounts

The discounts below are not cumulative:

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

Modules

Technologies and Methods of Big Data

3 hours - Roberto Henriques

Objectives

Presentation of (Big) Data Analytics and the importance of information management for successful business models.

Content

  • Definition of Big Data;
  • Historical Perspective;
  • The Economic Value of Big Data;
  • Examples of data sources and their importance.
Processes and People

4 hours - Rui Rosa

Objectives

Presentation of the technological context and main components: Hadoop, map/reduce. Introduction to HIVE and PIG.

Content

  • The new basic technologies for Big Data (Hadoop, Spark, and others);
  • The new information system architectures for Big Data;
  • Big Data and the evolution of analytical methods.
Adoption and Case Studies

2 hours - Roberto Henriques

Objectives

Presentation of the analytical process and the main analytical profiles.

Content

  • The new profiles and competencies for Big Data (Data Scientist, Chief Data officer);
  • The new processes to take advantage of Big Data (Knowledge Discovery in Databases);
  • The impact of Big Data on Information Management as an asset - Big Data Data Governance.
The Role of Big Data in Innovation

2 hours - Roberto Henriques

Objectives

Presentation of Big Data case studies.

Content

  • Maturity in the use of Big Data;
  • Big Data Use cases;
  • Strategies for the use of Big Data.
Big Data, Security and Ethics

3 hours - Rui Rosa

Objectives

Presentation and definition of business processes based on big data analytics.

Content

  • Improvement of the relationship with the customer;
  • Improvement of the decision support process;
  • New Business Processes;
  • New Product and Service Development
Big Data, Security and Ethics

2 hours - Roberto Henriques

Objectives

Key considerations in data security and privacy.

Content

  • Information security in the Big Data framework;
  • Big Data and ethics in the use of information;
  • Existing regulations for Big Data.