- Docente: Francesco Bergamaschi
- Credits: 6
- SSD: ECON-06/A
- Language: English
- Teaching Mode: In-person learning (entirely or partially)
- Campus: Forli
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Corso:
Second cycle degree programme (LM) in
Business Administration and Sustainability (cod. 6797)
Also valid for Second cycle degree programme (LM) in Economics and Commerce (cod. 6799)
Second cycle degree programme (LM) in Economics and management (cod. 6801)
Second cycle degree programme (LM) in Management for Social Economy (cod. 6802)
Learning outcomes
At the end of the course the Student gains a full understanding on how to create Business Performance Indicators through the creation of coding techniques for Measures, Calculated Columns and Calculated Tables in a Columnar In-Memory Analytics Database. This includes Time-Intelligence advanced calculations.
Furthermore, the Student understands context and semantics in a general sense.
Course contents
Important: it is higly recommended to attend the course "Principi di Business Intelligence" (https://www.unibo.it/it/didattica/insegnamenti/insegnamento/2022/463901, taught in Italian) or to study in anyway the related contents before attending this course, as this will facilitate the learning process.
Business Intelligence Principles.
Business Intelligence in Power BI Desktop.
Scalar Functions, Table Functions, Grouping Functions.
Iterators.
Contexts.
Time Intelligence calculations.
Readings/Bibliography
Turban, Volonino, Wood / Information Technology for Management - International students version, Wiley, 2015 (10th edition).
Russo, Ferrari / The definitive guide to DAX, Microsoft Press, 2019 (2nd edition).
Rad / Pro Power BI Architecture, Apress, 2018.
Teaching methods
Lectures and practical applications in laboratory.
Important note: up to 20 Erasmus students can be accepted, the criteria will be "first come, first served".
Assessment methods
Practical test at the PC on MS Excel Power Pivot / MS Power BI, plus a few theory open questions.
The course mark is numeric (from 0 to 30), numeric marks correspond to the following grades:
<18 Insufficient
18-23 Sufficient
24-27 Good
28-30 Very Good
30 cum laude Excellent
Teaching tools
Blackboard, slides, PCs.
Office hours
See the website of Francesco Bergamaschi