Enterprise data unification across acquired businesses
A multinational telecommunications company had expanded through repeated acquisitions and was operating across more than a dozen ERP environments.
Leadership lacked a reliable consolidated view because business units used different schemas, terminology, reporting structures, operating definitions, and local practices.
- 01Acquisition-driven fragmentation
- 02Operating and semantic mapping
- 03Stakeholder alignment
- 04Shared definitions
- 05Canonical architecture
- 06Automated reconciliation
- 07Decision capability
Map how each business represented the enterprise
The work examined how acquired businesses represented customers, products, revenue, costs, organizational units, operating activity, and other core entities.
Reporting had depended on extensive manual reconciliation because similar concepts were stored and interpreted differently across the organization.
Establish shared definitions
A canonical enterprise data structure required explicit choices about meaning, authority, preservation, and reconciliation.
The enterprise needed common definitions where comparison and consolidation depended on them while preserving local distinctions that still carried operating value.
These decisions required alignment across business units, technical teams, operating leaders, and enterprise stakeholders.
Shared reporting depended on shared meaning, explicit decision rights, standardization rules, and governance.
Encode the agreed rules into the data architecture
A canonical data structure normalized overlapping and conflicting schemas while retaining the detail individual business units still required.
Automated pipelines extracted, validated, transformed, reconciled, and standardized information from the legacy ERP environments.
Anomalies were surfaced for review rather than silently carried downstream.
The resulting infrastructure established repeatable rules for moving information from local systems into the shared enterprise environment.
Create one operating view for the combined enterprise
Leadership gained a common operating view across business units, geographies, and product lines.
Information that had required weeks or months to assemble became continuously available.
Demand
supported →Forecasting
Capacity
supported →Planning
Revenue
supported →Projection
Enterprise visibility
supported →Capital allocation
Redundant reporting, manual reconciliation, and duplicative data-management work were reduced while leadership gained a real-time enterprise view.