Case Study: Enterprise Data Unification Across Legacy Silos
Ninety-plus disconnected enterprise data sources, unified without a rip-and-replace program.
Client profile (anonymized): A multi-division enterprise with data fragmented across dozens of legacy, siloed systems.
The Problem
Invisible architectural drag was compounding across siloed systems, with no single source of truth for operational data. A full rip-and-replace modernization program had been proposed, priced, and shelved twice as too risky and too slow.
The Approach
Instead of replacing the legacy systems, autonomous, real-time ingestion topologies were built across the existing sources, eliminating systemic friction at the integration layer rather than at the source systems themselves.
The Outcome
Over 90 enterprise data sources were unified without a rewrite of the underlying legacy systems. Operating overhead across the data layer was collapsed by 36 percent, and ingestion velocity improved by 29 percent.
Frequently Asked
Is a full rewrite necessary to unify fragmented enterprise data?
Not always. Building autonomous, real-time ingestion topologies at the integration layer can unify dozens of legacy sources without replacing the underlying systems.