Big Data for Business

Data-Driven Innovation

Credits: 
1
Hours: 
12
Area: 
Big Data for Business
Teachers: 
Academic Year: 
Description: 

Building on innovation management literature, this course aims to provide a broad and updated understanding of the multi-level key issues regarding the firms’ data driven innovation process. More specifically, the course aims to present how big data could drive companies’ innovation processes. After a preliminary discussion of the key aspects that characterize companies’ innovation processes, emphasis will be placed on practical tools such as business model canvas.

Data Driven Innovation

Credits: 
1
Hours: 
12
Area: 
Big Data for Business
Description: 

The module aims to show the main characteristics of the innovation processes in companies and institutions. After some basics of innovation economics, the management of the innovation processes will be presented (role of R&D, Open Innovation, etc.). The module also shows new innovation opportunities available after the last progresses in large scale data acquisition and elaboration, the basics of business models and start-ups. An exercise of business model innovation will try to explore che big data potential in opening new business opportunities.

Data Driven Innovation

Credits: 
1
Hours: 
12
Area: 
Big Data for Business
Description: 

The module aims to show the main characteristics of the innovation processes in companies and institutions. After some basics of innovation economics, the management of the innovation processes will be presented (role of R&D, Open Innovation, etc.). The module also shows new innovation opportunities available after the last progresses in large scale data acquisition and elaboration, the basics of business models and start-ups. An exercise of business model innovation will try to explore che big data potential in opening new business opportunities.

Data Driven Innovation

Credits: 
1
Hours: 
12
Area: 
Big Data for Business
Academic Year: 
Description: 

The module aims to show the main characteristics of the innovation processes in companies and institutions. After some basics of innovation economics, the management of the innovation processes will be presented (role of R&D, Open Innovation, etc.). The module also shows new innovation opportunities available after the last progresses in large scale data acquisition and elaboration, the basics of business models and start-ups. An exercise of business model innovation will try to explore che big data potential in opening new business opportunities.

Data Driven Innovation

Credits: 
2
Hours: 
20
Area: 
Big Data for Business
Description: 

The module aims to show the main characteristics of the innovation processes in companies and institutions. After some basics of innovation economics, the management of the innovation processes will be presented (role of R&D, Open Innovation, etc.). The module also shows new innovation opportunities available after the last progresses in large scale data acquisition and elaboration, the basics of business models and start-ups. An exercise of business model innovation will try to explore che big data potential in opening new business opportunities.

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