Data and monitoring
ERP, CRM, warehouse and reporting systems may define the same status, customer or result differently. We establish quality rules, ownership and signals that expose the issue before period close or a complaint.
Discuss dataScope
The signals help identify the problem. Scope and result show what RUNSY can own technically.
Signals
Scope
Result
Related situations
See how this area connects with specific problems in processes, data and systems.
Operations
Problem
Stock, orders, documents and statuses drift apart across systems. The team fixes records by hand and cannot tell which system is correct.
What we change
We define which system owns orders, stock and statuses. We connect APIs or file exchanges, then add validation, retries and alerts.
After the change
The team makes fewer manual corrections. If synchronization stops, the responsible person receives an alert showing where the error occurred.
Data
Problem
ERP, CRM and the data warehouse calculate statuses, corrections or dates differently, so departments work from conflicting numbers.
What we change
We define how statuses, corrections and dates are calculated and which system owns each value. We add reconciliation and alerts for missing or delayed records.
After the change
Reports use the same rules. When numbers differ, the team can see which system caused the discrepancy and who should investigate it.
Migration
Problem
In a large migration, some mappings are prepared by hand and data errors may surface only when the new system goes live.
What we change
We keep migration rules in the repository, run trial migrations and compare results. Exceptions and rejected records require explicit approval.
After the change
Before the switch, the team knows what moved, what was rejected and who approved each exception.
Let's talk
Tell us where the team loses time, which systems are involved and what needs to work differently. That is enough for a first conversation.
Contact
Send a few sentences about the process, systems and expected result. That is enough to see whether the first step is integration, AI automation, an audit or an operational application.
