Business Analytics (BA)
Scientific Disciplinary Sector (SSD)
SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT
Language of instruction
primo semestre (lauree magistrali) dal Oct 4, 2021 al Dec 17, 2021.
This course aims to introduce students to the concept and techniques of Business Analytics models, but also the new role of the "Business Analyst" within the organization. Particularly in the first part of this course, it will be used the POPIT(TM) model. Therefore, the data analysis and the interpretation of the information must always be aligned with: human resources (skills), the organizational environment, processes, and technologies. Taking as a reference the KPIs (Key Process Indicators), deriving from the business processes previously defined through the BPMN language, they will be analyzed and evaluated in real-time to create reports or dashboards to support the decision-making process. The data in addition to being used for the decision-making process, for the operational part, will also be used to align the POPIT(TM) components with the corporate business model better. This analysis will be conducted through the use of Business Intelligence tools to better respond to market needs. In the second part of the course, starting from historical series and external destructured data (through Big Data) we will proceed with the realization of predictive models to support managers in their strategic and operational decisions.
The course aims to provide students with the fundamental concepts for reading, and to analyze enterprise data, to generate predictive models to support the decision-making process. The contents of the course can be summarized as follows:
1. Business Process Management, and the model POPITT© (People, Organization, Process, e IT).
2. Business Process Mapping, Analysis, and re-Engineering.
3. BPMN (Business Process Model Notation) for business integration.
4. DataWare House.
5. Business Intelligence tools.
6. Data analysis (querying, reporting, clustering, etc.).
7. Predictive Analysis (correlation, supervised regressions, etc.).
8. Introduction to Big Data.
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.
The exam will be written with three open questions related to the program carried out in class.
Attention: The modalities of delivery of the exams may be subject to change in continuation of the pandemic emergency, following any measures of the Ministry of University and the University.