SOI-093 Data Governance (blended)

Instructor Sandro Luigi Fiore
Modality Blended
Duration 12 hours
Period First semester

26.10 h17-21 (online)
2.11 h17-21 (online)
9.11 h17-21 (in presence)

Course objectives

In today’s data-driven world, where information is abundant and its value is undeniable, organizations face the challenge of harnessing and governing their data effectively. 

This course provides an overview about Data Governance in terms of terminology, frameworks, processes, roles, and tools to put in place an effective data governance strategy and operating model.

The role of data quality and data protection in data governance will be also presented jointly with the importance of a data culture within a company or organization. During the course, several case studies will be presented to provide concrete examples about the different aspects of data governance from the business and innovation world.

Content summary

Learning Objectives

  • Key concepts about Data Governance 
  • The role of people, processes and tools in a Data Governance strategy 
  • Data Governance over a Data Life Cycle
  • Understanding data governance with open data 



  • Basic knowledge of data terminology will help but not mandatory.


Teaching and learning methods and activities 

The course is structured with theoretical lectures and a lot of case studies discussion about the different aspects of data governance from the business and innovation world. 

Some exercises will be assigned to students, carried out at home and discussed in class.

Teaching methods

A final test will be used to assess students’ knowledge and understanding of the course topics.


[1] Data Governance: The Definitive Guide by Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown, March 2021, Publisher(s): O’Reilly Media, Inc., ISBN: 9781492063490