30376 - BUSINESS INTELLIGENCE

Anno Accademico 2020/2021

  • Docente: Furio Camillo
  • Crediti formativi: 6
  • SSD: SECS-S/03
  • Lingua di insegnamento: Inglese
  • Modalità didattica: Convenzionale - Lezioni in presenza
  • Campus: Bologna
  • Corso: Laurea Magistrale in Direzione aziendale (cod. 0897)

    Valido anche per Laurea Magistrale in Informatica (cod. 8028)

Conoscenze e abilità da conseguire

The students is expert in the design, implementation and information systems management for intelligence of decisions that melt on the management knowledge of analytical nature. The second part (30 hours) of the course is developed in the computing laboratory using the system language of SAS System and SAS Enterprise Miner. At the end of the course, the student knows: - 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.

Contenuti

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

Testi/Bibliografia

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

Modalità di verifica e valutazione dell'apprendimento

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.

Orario di ricevimento

Consulta il sito web di Furio Camillo