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Data 5 min read 2026-01-05

Enterprise Data Harmonization: Creating a Single Source of Truth

DuluthPath Data

Published 2026-01-05

73% of enterprise data initiatives fail. Not because the technology doesn't work β€” but because organizations try to force all data into one system instead of harmonizing across systems.

The Harmonization Approach

Data harmonization is fundamentally different from data consolidation:

Consolidation = Move all data into one warehouse. Expensive, slow, brittle.

Harmonization = Leave data where it lives, create a unified semantic layer on top.

DuluthPath's Forge takes the harmonization approach.

How Forge Works

  1. 1Connect β€” Pre-built connectors attach to SAP, Oracle, Salesforce, and 50+ other systems
  2. 2Map β€” AI-powered schema mapping identifies equivalent fields across systems
  3. 3Harmonize β€” Rules engine resolves conflicts, deduplicates records, enforces data quality
  4. 4Serve β€” Unified API layer provides a single source of truth to all consumers

The Single Source of Truth

With Forge, every executive β€” from CEO to plant floor manager β€” sees the same numbers. Revenue is revenue. A customer is a customer. An order is an order. Regardless of which system originated the data.

Impact

Organizations using Forge report: - 15-25% improvement in data quality - 60% reduction in manual reconciliation - Real-time cross-system visibility (from weekly batch reports)

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