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Presentation of the course CourseIntroductionandObjectives.pdf

Enterprises today are driven by data. "Business Intelligence allows people of all levels in organizations to access, interact with, and analyze data to manage the business, improve the performance, discover opportunities, and operate efficiently" (Cindi Howson, Successful BI, McGrawHill).

However, the degree to which BI solutions can be successfully adopted within organizations depend to a great extent on the degree to which business and IT experts can partner together. The objective of this course is to form Advanced Business Users of BI applications, with a deep understanding of the business needs and a good understanding of technology. The Advanced Business User understands the business and how to leverage technology to improve it, leads the interpretation of business requirements and strategic objectives, and helps designing reports to answer business questions.

The course is in two parts:

  • PART A: Business Intelligence and Social Analytics 6CFU Instructor: Prof. Paola Velardi velardi AT di.uniroma1.it
  • PART B: Process modeling 3CFU Instructor: Prof. Paolo Bottoni bottoni AT di.uniroma1.it
Schedule and Exams (read carefully!)

Class days (2021-22):

Classes will start on Monday, September 27th, 2021

It is highly recommended to attend the classes in presence unless you are residing in other regions or countries. Interactivity is not allowed by the Faculty for security reasons to remote students.

Monday 11-13 (8a), Wednesday 14-16 (8a), Thursday 16-18 (Didalab)

  • PART A: September-mid November (Prof. Paola Velardi)
  • PART B: mid November-December (Prof. Paolo Gaspare Bottoni)
  • LAB: During PART A, about 8 lessons will be held in the laboratory (to be confirmed: Didalab) for practical applications using IBM Watson Studio in cooperation with IBM tutors.
Exam PART A rules:
  • Written test: 60%
  • Project on selected business problems using Watson Studio: 40%. Please follow carefully GuidelinesBproject.pdf for creating your project. Projects should be submitted by teams of two. You can submit your project alone if you can't find a classmate, but no extra grades will be assigned for projects authored by a single student.
  • Interactive students, who read and present selected topics assigned by the instructor (either in class, or remotely, sending a registered presentation) may increase 1-2 points the final grade.
  • Project delivery deadlines: Winter 2022: February 15th; Summer 2022: June 5th; July 5th; September 1st

Exam PART B rules:

  • Project on a selected business process using process modelling and simulation tools. Projects can be submitted by teams of up to five members (after approval by Professor Bottoni for groups of 4 or 5).
The final grade is the weighted sum of BI (2/3) and BPM (1/3) grades.

IMPORTANT: INFOSTUD sessions have a start date and an end date. This is because I can't register a grade until you don't pass the test, and deliver the BI and BPM projects. So, there is not one single date I can establish. Usually, you can only see the start date of an exam session on Infostud. THIS IS NOT the date of the test! Usually, there are two test dates within any session, but you need to register on INFOSTUD much earlier (e.g., may-early june for the june-july session). You can register for a test through the Google form I circulate before any test date. Please remember to register on Infostud IF you believe that during the session (winter or summer) you will be able to obtain a final grade - based on the result of a test, and the 2 projects.

ERASMUS STUDENTS: depending on the signed learning agreement, some Erasmus students may attend only the BI part (6 credits) and obtain a grade for this part of the course. However, these students must show their learning agreement to prove that they only need 6 CFU.

Suggested Text Books
  • Cindi Howson "Successful Business Intelligence" Second Edition, Mc Graw Hill
  • Ramesh Sharda, Dursun Deelen and Efraim Turban "Business Intelligence: A Managerial Perspective on Analytics" Third Edition, Pearson
  • Rick Sherman "Business Intelligence Guidebook" Morgan Kauffmann
  • Course slides and use cases

  • M. Dumas, M. La Rosa, J. Mendling, H. A. Reijers, Fundamentals of Business Process Management, Springer, 2018 (the first edition from 2013 would work too)
  • W. van der Aalst, Process Mining - Data Science in Action, Second Edition. Springer, 2016 (the first edition from 2011 would work too)
  • Course slides
Part A: Course Material


List of topics and slides (TBU = slides To be Updated, do not download until updated):

Lessons and labs have been recorded and are shared with the members of the Google Group


Part B: Process Modeling


Subscribe to the Google Group of BI / Process Modeling (Prof Bottoni) using your institutional address (domain: @studenti.uniroma1.it): https://groups.google.com/g/bpmbottoni. Teaching material will be posted on a dedicated remote Google Drive folder. The subscription to the Google Group automatically grants you access to those resources.

Visual Paradigm provides Sapienza University of Rome with UML and BPMN tools under the Academic Partner Program.

List of topics and resources


  • Introduction to Business Process Modeling
  • Formal models and standards for Business Process Models
  • Process simulation and analytics (and dedicated software tools)
  • Process mining: automated discovery and conformance checking (and dedicated software tools)

Use cases, datasets and readings
Open Data sources for Business Intelligence and Business Process Intelligence

Case studies


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Topic revision: r141 - 2022-02-17 - PaolaVelardi
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