Data-driven operations

AI opportunities remain untapped due to unreliablesource data

A lot of operational data is captured but lacks structure, context, or reliability. As a result, insights remain limited and decisions are often based on assumptions. Opportunities for optimisation and AI remain unused, creating a strategic disadvantage in the long run.

Scattered systems are slowing down execution

Mandatory input

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.

Valuable data that is never captured

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.

Decisions based on assumptions

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.

Our solution

Good data by making registration part of the workflow

Understand why data is incorrect

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.

Let data emerge through design

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.

From data to operational insights

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.

Our work

From assumptions to reliable insights

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.

Let's connect

If enterprise systems are slowing down execution in your organisation, let’s explore what’s really happening.