Duplicate data. Duplicate problems.

A data model describes not only columns, but also meaning and permitted state transitions. We define how changes are distributed, conflicts are handled and deletions are propagated. Depending on how current the data must be, reconciliation runs or events are options. Every connection is assigned an owner, versioning rules and monitoring. The difference from the technical middleware service lies in the focus: here we clarify business ownership and the consistency of enterprise data.

Acceptance testing traces selected objects through the systems involved, including correction and deletion. Control reports show missing mappings and conflicting values. Your team receives the rule set, a data flow map and responsibilities for ongoing maintenance. Bring examples where data currently has to be entered more than once or repaired afterward.