adesso BLOG

This blog post explains why the use of data in the health sector makes sense and which concepts and framework conditions need to be created for this.

The path to successful digitalisation in the laboratory requires the use of IT systems. While a large part of the documentation and data volume for manual process steps is kept on paper, an increased level of digitalisation also entails an increased volume of data. This makes it all the more important to ensure that the IT systems that are used are validated so that the data that’s generated and processed is subject to the required quality criteria.

There is still very little data sharing going on in today’s insurance industry. Obstacles to this include strict and often unclear regulations, reluctance to share data or the difficulty involved in calculating the value of data in advance. Gaia-X offers insurance providers enormous potential. I will explain what that potential is in my blog post.

Data visualisation is only one aspect of interpreting data. However, looking at a representation inevitably leads to a specific interpretation, and this can be problematic. Therefore, in the second part of my blog post, I will give you various examples of how visualisations ‘covertly’ convey their intended message.

True to the saying ‘don't trust any statistics you haven’t falsified yourself’, the way in which you present the exact same set of data can elicit completely different interpretations. So in the first part of my blog post, I’m going to show you how the presentation of a graph that visually represents data can impact perception.