One data model versus six integrations
Integration platforms promise to connect your tools. They do not remove the underlying problem: two systems holding two versions of the same record. This paper examines the difference between integrated systems and unified ones, and what it means for reporting, AI and audit.
You cannot ask a question that spans HR, sales and finance if those three answer from three different databases.
Overview
Integration platforms promise to connect your tools. They do not remove the underlying problem: two systems holding two versions of the same record. This paper examines the difference between integrated systems and unified ones, and what it means for reporting, AI and audit.
You'll learn how to
Distinguish genuine unification from scheduled synchronisation
Assess the reporting cost of duplicated master data
Understand why cross-functional AI requires a single model
Plan a consolidation sequence that does not stall midway
Key takeaways
- 1
Sync jobs manage the symptom; a shared model removes the cause.
- 2
Cross-functional AI is impossible over fragmented data.
- 3
Audit trails only hold when there is one authoritative record.
You cannot ask a question that spans HR, sales and finance if those three answer from three different databases.