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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: Data and Social Analytics (Instructor: Prof. Paola Velardi, 6CFU)
  • PART B: Process modeling (Instructor: Prof. Paolo Bottoni, 3CFU)
Schedule and Exams
Class days:
  • PART A: Monday 11-13 and Tuesday 16-18
  • PART B: Thursday 16-18
  • LAB: Some lessons will be held in the laboratory (on Tuesdays) for practical applications using IBM Cognos Business Intelligence suite
  • Written test 60%
  • Project (to be defined) 40%

NOTE: joint projects with Computer Science students attending the "Machine Learning" course are encouraged

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
  • M. Dumas, M. La Rosa, J. Mendling, H. A. Reijers, Fundamentals of Business Process Management, Springer, 2013
  • W. van der Aalst, K. Van Hee, Workflow Management: Models, Methods, and Systems, MIT Press, 2004
  • Course slides
Part A
  • Topic 1 - What is Business Intelligence 1.WhatIsBI.pptx
  • Topic 2 - Data Warehouses: Extraction, Transformation and Load
  • Topic 3 - Data Warehouses: Data Structures and Operations
  • Topic 4 - Data Analytics
  • Topic 5 - Social Analytics
  • Topic 6 - Data Visualization, Query and Reporting
  • LAB: IBM Cognos BI suite
Part B
The module provides an introduction to the main concepts, models, languages and tools relative to Business Process and Workflow Management.


Topic 1: Introduction to Business Process Modeling

a. General view of modeling

b. General notion of process

c. Modeling of control flow, data flow, resource allocation

Topic 2: Formal models and standards for Business Process



Topic 3: Workflow patterns

a. Flow patterns

b. Resource patterns

Topic 4: Process discovery

a. Process re-engineering

b. Process analysis

c. Critical sections

Topic 5: Tools for Business Process and Workflow Management

a. Visual paradigm


c. Eclipse BPMN2 Modeler

BI Web Utilities

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Topic revision: r11 - 2017-07-07 - PaoloBottoni

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