KATI – One group, one system
How can we generate information and knowledge from the vast stock of data out there, integrate it into a foresight or innovation process in a profitable manner, and then use it in this context? That’s the key question underpinning data-driven foresight.
To provide an answer, we have been using the KATI-system – a data-driven foresight tool – for several years now, and two central tasks of the KATI Lab group include developing and marketing it. We also support the KATI-system’s development through our research, providing a scientific basis for the concept of data-driven foresight. Finally, in various projects led by the other Fraunhofer INT business units, we help address issues and use cases using data-driven methods. You can find an overview of several use cases that have emerged in the context of these projects here.
The three pillars of the KATI Lab’s work involve:
Data – the raw material which we develop, maintain, make available and cleanse in order to form our basic tools.
Analyses – essential for generating information and knowledge from hard-drive data, which is initially meaningless. For this purpose, we utilize and develop methods from the fields of statistics, machine learning, data mining and text mining.
Use cases – concrete applications produce specific questions and issues, which the KATI Lab identifies through involvement in Fraunhofer INT work; that is, through foresight and innovation processes. This results in use cases that are addressed using pertinent data and methods.