Breaking Down Data Silos: Integration Strategies
Data silos — CRM has customer data, ERP has orders, support has tickets — prevent a single view. Breaking them down requires integration, master data, and governance. Here's how.

Table of Contents
- Why Silos Form
- Problems They Cause
- Integration Strategies
- Master Data Management
- Frequently Asked Questions

Why Silos Form
- Departmental tools — sales has CRM, finance has ERP
- Acquisitions — merged companies, different systems
- Legacy — old systems never integrated
- No integration strategy — tools bought in isolation
Problems They Cause
No single customer view. Duplicate data, conflicting truth. Manual reconciliation. Poor decisions from incomplete data.
Integration Strategies
Sync: Replicate data between systems (CRM ↔ ERP). API aggregation: Build a layer that queries multiple sources. Data warehouse: ETL into central store for reporting. See our Enterprise Integration guide.
Master Data Management
Define master for key entities (customer, product). One system of record. Others sync from it. Deduplicate, validate. MDM tools or custom.
Frequently Asked Questions
Data warehouse vs integration?
Integration: real-time sync between operational systems. Data warehouse: batch ETL for analytics. Use both — integration for operations, warehouse for reporting/BI.
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