Data conception for your specific challenges

For example, you are faced with the task of migrating data to a new system or setting up data governance, creating a unique customer ID or setting up a group-wide business partner. Or you have another customer data or data quality project ahead of you. This means a lot of change, especially in terms of processes, data streams and data. How do you proceed?

Exactly! Your first step is making a data concept. This means you have an initial state and a target state. You need to consider what is already in place and how you can make the transition to the target state. To do this, many different strands of action need to be linked to form a whole. For example, business processes that are currently in use need to be recorded. It is also important to understand which departments are involved and where which data is required.

A sales department, for example, is interested in sales figures, purchase histories and credit ratings. A finance department, on the other hand, needs payment data and the relevant contact persons. These different views of one and the same data record and the different data requirements make the complexity clear. Precise work is therefore urgently required. The Uniserv process model for data conception is designed precisely for this purpose. It structures your data conception. It ensures that you do not forget anything important and always maintain an overview.