Data is the foundation of sound decision–making—but its value only emerges through the ability to understand and use it properly. In many companies, initiatives fail not because of a lack of data, but because of a lack of data literacy: data is difficult to access, of insufficient quality, or is not analyzed correctly. At the same time, there is a growing need to make decisions that are fact–based and transparent.
Data literacy addresses precisely this challenge. The goal is to embed data literacy broadly throughout the organization—not just among experts, but across all departments. Employees learn to contextualize data, interpret analyses, and derive robust decisions from them. Companies benefit from faster processes, higher-quality decisions, and a stronger data culture. Those who systematically build data literacy create the conditions necessary to truly realize the potential of data and AI.
Almost every day, well-known companies find themselves in the headlines because they have been the victim of a cyberattack. For a long time now, security training and the development of measures have no longer been about the question of whether one will be affected, but when and to what extent. However, this does not mean that manufacturing companies should just sit and wait until the time comes. In this paper, we have listed what companies can do in advance to delay attacks and be as resilient as possible to attacks.
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