If structured data will be available within the organization, a numerical analysis based on statistical or mathematical approaches will be developed. As an example, control chart analysis approach and historical data trend has been already developed for the Deliverable 3.1.

Information is very often reported by the workers and so the format, both for easiness and to less possible interfere with working activities, is a textual description of the intervention/activity/improvement. On the other hand, it is difficult for machine to identify information through a textual description: to overcome this issue, the computational capability of modern machines is enabling the habitual utilization of Semantic Search technology. This technology uses a set of language patterns to understand the sense of the textual description and to rank them according to the request from the end user; the identified texts are proposed to the worker that will be able to choose the best option between the available.

The social factory, where all the workers are able to share knowledge and advices between them in order to make the work easier and more profitable, is one of the most important goals to be reached by FACTS4WORKERS project. The base idea of this set of improvements is the social networking approach to the information, where people can share content through a web-based portal and rank them with likes and re-shares. From the voting and social system, different intervention/activity/improvement will have a different ranking and so a higher position in the solution rank.