Business Analytics (2020/2021)

Course code
4S008099
Name of lecturer
Alessandro Zardini
Coordinator
Alessandro Zardini
Number of ECTS credits allocated
6
Academic sector
SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT
Language of instruction
English
Location
VERONA
Period
II semestre dal Mar 1, 2021 al Jun 11, 2021.

Lesson timetable

Go to lesson schedule

Learning outcomes

This course aims to introduce students to concepts and techniques in Business Analytics, but also to the new role of the "Business Analyst" within an organization. Starting from the KPIs (Key Process Indicators), coming from the business processes defined through the BPMN language, we will proceed to the analysis and real-time evaluation of the same in order to create reports or dashboards to support the decision-making process. In addition to being used for decision-making, the data will also serve to better align the POPITTM components with the company business model.

At the end of the course the student has to show to have acquired the following skills:
● ability to conduct business intelligence analyzes
● obtain structured information from data according to project specifications
● analyze high-level solutions to meet detailed market needs
● ability to use software tools and mathematical models in predictive analytics

Syllabus

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.

Reference books
Author Title Publisher Year ISBN Note
Davenport T.H., Harris G.J. Competere con gli analytics. La nuova scienza per vincere nel business (Edizione 1) Franco Angeli edizioni 2019 9788891781086

Assessment methods and criteria

The final test is written. Mainly, it is composed of 3 open questions.