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Overview

Presentation of the course CourseIntroductionandObjectives-1.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 (Instructor: Prof. Paola Velardi velardi AT di.uniroma1.it) 6CFU
  • PART B: Process modeling (Instructor: Prof. Paolo Bottoni bottoni AT di.uniroma1.it) 3CFU
Schedule and Exams
Class days:
  • PART A: Monday 11-13 and Tuesday 16-18
  • PART B: Thursday 16-18
  • LAB: About 6 lessons will be held in the laboratory (on Tuesdays starting on October, 17th) for practical applications using IBM Watson Explorer suite, in cooperation with the IBM Watson tutor Dr. Floriana Ferrara
Exam:
  • Written test 60%
  • Project (to be defined) 40%

NOTE: joint projects with Computer Science students attending the "Machine Learning" course are possible for selected students

Suggested Text Books

PART A
  • 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
PART B

  • 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
  • M. Weske, Business Process Management. Concepts, Languages, Architectures, Springer, 2012
  • Course slides
Part A (Prof. Velardi)

Subscribe to Google Group (Prof. Velardi) Business Intelligence 2018 on Google Groups

List of topics:
Part B (Prof. Bottoni)
The module provides an introduction to the main concepts, models, languages and tools relative to Business Process and Workflow Management.

Subscribe to Google Group (Prof. Bottoni) BPMBottoni

Topics:

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

Lesson1Introduction.pdf

Topic 2: Formal models and standards for Business Process

a. BPDM

b. BPMN Lesson2IntroductionToBPMN.pdf Lesson3AdvancedBPMModeling.pdf

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

b. YAWL

c. Eclipse BPMN2 Modeler

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Topic revision: r26 - 2017-09-19 - PaolaVelardi






 
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