Service profile
Overview of Interfaces and Data Flows
Suitable capability and technology paths
Important deep dives into this topic
Interfaces and data flows often appear at first glance to be a technical side issue. In practice, however, they determine data quality, error patterns, traceability and whether new platform targets or third-party systems can integrate smoothly later. That is why we treat integrations as a leadership responsibility and not as an afterthought.
Connect FiBu, CRM, warehouse and industry systems cleanly
We design integrations so that data fields, responses, error cases and responsibilities remain unambiguous and do not rely on silent workarounds.
Database refactoring and mapping with a view to the business logic
When tables, character sets, keys or historical data paths create bottlenecks, we reorganise the data foundation so integrations become viable again.
Make data flows observable and controllable
Idempotence, logging, restartability, transformation rules and clear error paths are, for us, part of the integration core and not just technical footnotes.
Windows 11 ARM64 and new target paths considered early
New platform targets affect libraries, drivers, installers and deployment. For that reason they are planned together with data flow and integration logic.
Data flows require technical leadership
A good interface is not defined by the fact that data arrive once. It is defined by data being correctly mapped, processed in a functionally plausible way, cleanly logged and handled traceably in the event of errors. That discipline is the real difference in integration projects between stability and later chaos.
Therefore we view each connection in the overall context: Which systems are leading, which data are authoritative, how are conflicts handled, what do responses look like, which jobs must be able to be restarted and which platform targets or deployment questions influence the technical approach? Only from this does a robust integration architecture emerge.
- clear functional responsibility between source and target systems
- clean mapping for fields, status transitions and data formats
- logging, monitoring and restartability instead of silent error paths
- early consideration of database refactoring and target platforms
API
Mapping
Logs
Next step
If you have a concrete modernization, API, or platform question, we should define the technical scope clearly and early.
Net-Base evaluates existing systems, data flows, interfaces and target platforms not in isolation but in the context of domain logic, operations and future extensibility.
- Current state, target state and technical risks are assessed jointly.
- REST, data access, portals and rollout are not deferred as afterthoughts.
- You can determine early which path is economically and operationally viable.