Teaching code

4S008099

Teacher

Alessandro Zardini

Coordinator

Alessandro Zardini

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT

Period

Primo semestre (lauree magistrali) dal Oct 3, 2022 al Dec 23, 2022.

Lessons timetable Moodle Seminars 0

Learning objectives

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.

Prerequisites and basic notions

There are no prerequisites, but it is advisable to resume the basics of statistics and programming in Python.

Program

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.

Bibliography

Didactic methods

During the course, space will be given to analyze and discuss cases developed by the students. Furthermore, throughout the academic year, the individual reception service managed by the teacher is available at times indicated on the web pages (by sending an email to make an appointment) and constantly updated. The content of the textbook, as well as the lectures and exercises held in the classroom, adheres to the program. During the lessons, the slides will be made available as study material. The program and study materials are the same, regardless of class attendance.

Learning assessment procedures

The exam consists of a written test. Students are encouraged to consult the notices in Moodle. The test will consist of three open questions.

Evaluation criteria

The questions are structured in such a way as to verify the level of knowledge of the issues concerning business analysis. At the same time, they are studied to test the ability to interpret the main problems related to problem-solving.

Criteria for the composition of the final grade

The test is aimed at ascertaining:
- knowledge of the topics in the program, with particular reference to their applicative and methodological aspects;
- the ability to apply logical schemes to the various business analysis problems;
- the depth and breadth of the knowledge gained; - the property of language;
- the ability to use the techniques and tools covered by the course. The final evaluation, which considers any activities (carrying out case studies) carried out during the course, is expressed in 30ths.

Exam language

Italiano