Why smart digital collaboration is always data-driven
With increasing demands on the construction quality, the many people involved, the growing amount of data, the many vacancies that are difficult to fill and limited time to do the work, quality assurance in infrastructure is becoming increasingly important. While digital working was traditionally organized around documents in many organizations, today data-driven working is increasingly gaining ground. And that makes sense.
Classic systems originated on the basis of documents or forms. The aim of the system is to gain more control over the quality of the execution of work. The focus is strongly on what is required in theory to meet those quality requirements. The result is that the work is prescribed how it should be performed in theory. That the real work is full of exceptions. Can be solved by those involved .
The expert is in charge of his own work
A typical example of the classic system is that you always have to fill in everything to complete the form. That this is not always relevant or that there are other relevant things that the expert needs to do his work is evident from the use. The result is that information is recorded just to fill in fields and relevant information is communicated around the system. The system thus becomes a “must” and thus achieves exactly the opposite goal of better integrating quality into the work. It is becoming more digitally opposed to the execution of the work.
The expert is responsible for quality and the system should provide the support. Not the other way around. As an expert, for example, you sometimes want to do part of the registration later because the work is paused, because materials are not available or an abnormal situation has been found. As an expert, you want to be able to deviate from the agreed agreements if the situation requires it. Deviations can lead to new insights and thus change, just like new regulations. If the working method changes, a system will have to move with it, which is not possible with classic non-data-driven systems.
KE-chain provides flexibility and control over the structure of the data, giving the expert the opportunity to direct his / her own work.
Giving the project team insight into the total work
Another example is that as a user you only get the list with the forms that you have to fill in. No more and no less. To know what is happening around you, you have to organize around the classical system. They prescribe the working method and hide it in the system. A bit like the idea of setting up a production line. The project is treated as a production line of steps where everyone performs a task and variation is not or very limited possible. The effect of these systems is that they reinforce compartmentalization in the organization.
What other experts do in preparation for or processing your work turns out to be useful for smart collaboration. Quite a bit of coordination is needed to process all changes during the implementation of the project. Transparency and insight into what other experts are doing in the process is essential for this. You must also be able to see digitally what is happening around you without being able to do the work of the other.
KE-chain provides insight and transparency about the structure of the data and gives the project team the opportunity to direct the joint work.
Let the organization do the design itself
That is where classical systems offer little flexibility. For real changes you are actually always dependent on the supplier. That is fine as long as it concerns your supporting processes. However, the primary process is the core of your learning and competitive ability. You shouldn’t want to outsource that.
Being in control of the design is becoming increasingly possible with model and data-driven systems. This control means being able to tailor the design for your own users in order to optimally guide the experts and the project team in doing their work. The control also means that you always have access to all your data with the powerful API. To provide insight, to make links, to be independent.
KE-chain gives full access to your own data and with the powerful API also the complete freedom to do what you want with it.