2 ECTS; 1º Ano, Anual, 15,0 TP , Cód. 20373.
Lecturer
- Célio Gonçalo Cardoso Marques (1)
(1) Docente Responsável
(2) Docente que lecciona
Prerequisites
Objectives
O1 - Understand the key concepts of a Data-Driven Organization
O2 - Explore data analysis tools
O3 - Identify patterns and trends through data analysis
O4 - Identify and design effective data-driven solutions
Program
C1 - Key Concepts of Data-Driven Organization
Definition of a data-driven organization.
Benefits of data-driven decision-making.
Challenges and opportunities.
C2 - Data Analysis Tools
Introduction to key data analysis tools (e.g., Power BI, Tableau).
Practical demonstration of tool usage.
Comparison between different tools.
C3 - Identification of Patterns and Trends
Data analysis techniques to identify patterns and trends.
Case studies and practical examples.
Interpretation of results and strategic decision-making.
C4 - Design of Data-Driven Solutions
Methodologies for developing data-driven solutions.
Planning and implementation of concrete actions.
Impact assessment and necessary adjustments.
Evaluation Methodology
Completion of a project to identify effective data-driven solutions for a company or entity 100%
Bibliography
- Morrison, R. (2021). Data-Driven Organization Design: Delivering Perpetual Performance Gains Through the Organizational System. UK: Kogan Page
Teaching Method
Theoretical lectures and practical laboratory classes where the resolution of practical cases, demonstrations, and collaborative work are proposed.
Software used in class
