81613 - BUSINESS INTELLIGENCE

Academic Year 2022/2023

  • Docente: Furio Camillo
  • Credits: 6
  • SSD: SECS-S/03
  • Language: English
  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in International Management (cod. 5891)

    Also valid for Second cycle degree programme (LM) in Computer Science (cod. 8028)

Learning outcomes

At the end of the course, the students are expert in the design, implementation and information systems management for intelligence of decisions that melt on the management knowledge of analytical nature. The second module is focused in the computing laboratory thanks to the use of two system language: SAS System and SAS Enterprise Miner. At the end of the course, the students know: - Customer relationship management (CRM) and Customer Intelligence; - Problems of evaluation of the advertising impact; - Oriented information system implementation for the analytical approach to the Business Intelligence; - Software realization for Analytical Business Intelligence projects and statistical data mining.

Course contents

Supervised and unsupervised classification Multivariate analysis: principal component analysis, correspondence analysis, discriminant analysis

Readings/Bibliography

Data Mining and Statistics for Decision Making, Stephane Tuffery, Wiley, March 2011

Chapters: 7, 9, 11.1-11.3, 11.6

SAS ProgrammingThe One-Day Course - Neil Spencer Chapman and Hall/CRC 2003Print ISBN: 978-1-58488-409-5eBook ISBN: 978-0-203-49928-3

Teaching methods

Verification takes place through an individual oral exam in which the teacher asks technical questions about the methodological choices made in group work. The group works are carried out by groups of students (composed of a maximum of 3 or 4 subjects) who are formed independently and who carry out a real psychographic CRM project. The guidelines for the technical implementation of the group project are described during the course and in any case it involves applying the data analysis strategies addressed in the course to opinion data, collected by the group through an electronic questionnaire: definition of the topic, editing of the questionnaire, treatment of the distortion effects generated by the opinion scale, statistical modeling using the SAS software, drafting of the report to be delivered to the teacher.

Assessment methods

The exam is an individual oral discussion of a group work. The rating scale ranges from 1 to 30 and is a continuous indicator. The oral exam consists of 3/4 questions. The starting hypothesis is that the student knows the entire exam program perfectly and that, depending on the quality of his answers, starting from 30 (maximum grade) this grade can be reduced. The laude is awarded at the discretion of the teacher if the understanding of the technical topics of the course is particularly thorough in the methodological details.

Office hours

See the website of Furio Camillo

SDGs

Reduced inequalities

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.