When a system forces data entry instead of capturing it naturally, professionals blindly click approve just to continue. It looks like data is entered, but it is meaningless. Garbage in is garbage out.
How long did the job take? What part was replaced? Where there any anomalies? This information lives in the technician’s head, not in the system. This makes it unusable for analysis, reporting and AI.
Without reliable operational data, management leads on gut feeling. From where is the margin leaking? What assets need structurally more maintenance? What is broken? The data to support the answers is missing.



The starting point is understanding why data capture fails. By following the professional, we are able to spot exactly where that is. Professionals aren’t careless, systems ask for data at the wrong time and in the wrong format.
The best data capture is invisible. We design workflows where data is naturally recorded during the work, not afterwards. As soon as the professional finishes their work, the file is already signed, sealed and delivered.
When data is reliable at the source, valuable insights about what really happens in the daily operations emerge. This enables better decisions, smarter planning, and steps towards working with AI.
Fresk.digital helped us to not only collect data, but also to use it effectively. Their methodical approach, with a focus on hypotheses and practical applicability, ensured that we quickly gained valuable insights. This enables us to continuously improve Hertek Connect and make it better aligned with our customers' real-world needs. The collaboration felt like an extension of our own team: knowledgeable, agile, and results-oriented.
Garbage in is garbage out. When relying on wrong or incomplete data for operational decisions, growth is hindered. We create digital solutions where reliable data forms the foundation for operational insights.
If enterprise systems are slowing down execution in your organisation, let’s explore what’s really happening.