Data available centrally
Relevant data from different sources is brought together in a managed environment.
Lay a central foundation for reliable data, dashboards and AI applications.
Separate exports and data sources make reporting labour-intensive and limit the development of new applications. A central data platform integrates, processes and manages data from relevant sources.
The application only becomes meaningful when it fits a specific task and the information available for that task.
The platform is built around use cases and is a means, not an end. That is why we define in advance what the solution should and should not do, how its output will be checked and who remains responsible.
Relevant data from different sources is brought together in a managed environment.
The same reliable data can be used for reporting and new applications.
New sources and use cases can be added step by step.
We start with a specific information need and relevant data sources.
We design a setup that fits the organisation and its existing environment.
We bring the selected sources together and set up data processing and quality management.
We make data useful in a dashboard, analysis or AI use case.
We monitor the foundation and gradually add new sources.
This service is relevant for organisations that want to work in a consistently data-driven way. The exact setup depends on the process, the available data and the risks involved in the application.
We therefore start with a clearly defined application and only expand it once the initial setup works in practice.
This service addresses the following challenge: a central data platform integrates, processes and manages data from relevant sources. Exactly how it works depends on the process and the data available.
This service may be relevant to organisations that want to work in a consistently data-driven way. A clear need and usable information matter more than the size of the organisation.
That depends on the intended application. We start with the question you need to answer, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that addresses the challenge effectively and add complexity only when needed.
We define the scope of the application, test the results with users and put appropriate checks in place. Once it is in use, we monitor how it works and adapt the solution when the data, its use or the context changes.
Want to explore where to start with having a data platform built? Together, we’ll map out the challenge, the available information and the constraints.