Innovation Analysis & Technological Intelligence

Whether on the scale of a company, an industrial group or a geographical territory, innovation is today a major strategic issue.
However, although the benefits of innovation are in part well known, understanding the innovation phenomenon remains complex. The stakes are high for those who innovate or support innovation: understanding the dynamics of innovation facilitates their decision-making, helping them to better position themselves in dynamic, internationalized and highly competitive environments.
Faced with these challenges, technological intelligence can be defined as "a set of coordinated activities aimed at acquiring sound knowledge of the scientific and technological environment in order to support the decision-making process, in particular with regard to issues linked to the management of research and innovation".
Technological intelligence is therefore akin to the search for and analysis of strategic information to better understand innovative environments. It is a set of original, value-added methods and tools that can be used to address a wide range of questions, from the broadest to the most specific. For example:
Who are the most active players in blockchain technologies? Which countries are positioned to develop hydrogen storage technologies? Which universities have solid expertise in medical imaging technologies? How is IBM approaching deep learning technologies? Which companies are working in my area of expertise?

This course is designed to raise awareness of the challenges of understanding innovative environments.
Students will practice technological intelligence around applied cases of their choice. The 26 hours of class will be divided into 3 parts, culminating in the production of a collective report (group of three or four students) presenting the use of technological intelligence methods acquired through a chosen problem.
Students will manipulate structured databases (mainly patent databases) and exploit the information derived from them using dedicated analysis tools.












Today, innovation is unanimously recognized as a key factor in the success of economic development. Mastering technology, which is increasingly complex, costly and risky, in a constantly changing world, is at the heart of the innovation strategy of major industrial groups, and raises the question of resourcing. The "Open Innovation" approach attempts to respond to this challenge, but implies the implementation of effective strategic watch and economic/technological intelligence systems to enable early identification of key partners and weak signals heralding breakthroughs. The analysis of this wealth of information must be carried out within a sectoral framework, and not just a technological one, in order to provide a forward-looking vision of innovation in its 10-year context. This requires the ability to interrogate, structure and analyze very large volumes of information, in line with the concept of "Big Data".

This course and the associated practical work aim to provide an understanding of:

existing innovation databases (ORBIT and Scopus in particular)
tools for monitoring and processing "Big Data" type information (patent information, scientific publications, social networks, etc.) (Scoop it, etc.).) (Scoop it, Intellixir...).

It should also enable students to master graphic visualization tools adapted to the visualization of large volumes of data (GEPHI and Sigma JS).
Software environment and databases : Software, monitoring tools and databases do not require prior installation, with the exception of GEPHI (cartographic representation of data).

This course and the associated practical work are designed to provide an understanding of:

existing innovation databases (ORBIT and Scopus in particular)
"Big Data" type monitoring and information processing tools (patent information, scientific publications, social networks, etc.) (Scoop it, Intellixir, etc.).

It should also enable students to master graphic visualization tools adapted to large-scale data visualization (GEPHI and Sigma JS).
Software environment and databases : Software, monitoring tools and databases do not require prior installation, with the exception of GEPHI (cartographic representation of data).