Stop reconciling the same operation in different systems.
When an order, its stock position and its delivery status disagree, a planner first has to decide which record to trust. That delays the decision the data was supposed to support.
A useful foundation would bring the evidence for that decision together while keeping source ownership and freshness visible.
Start with a bounded data contract: source identifiers, allowed fields, update frequency and the entities they represent. Relate records through explicit identifiers; surface gaps and conflicting values before downstream evaluation.
Core design considerations
Source mapping
define what each record represents and where it originated.
Relationship modeling
connect orders, stock and deliveries using reviewed identifiers.
Quality checks
make missing, delayed or inconsistent information visible.
A workflow worth proving
Who can see, decide and act?
Validate source-level permissions and how they propagate into combined views. Confirm retention, deletion and lineage behavior before sensitive data is included.
Fit the implementation to the environment.
Define read interfaces, schema changes, update cadence and failure recovery for each source. Establish the required access and data movement before connecting a system.
Agree what success would mean.
Measure reconciliation effort, missing relationships and freshness against an agreed baseline. Do not widen scope until the decision owner trusts the context.
Logistics: connect the order to the delivery commitment. ↗