Data Integration
Published
April 22, 2026
Last updated
April 22, 2026
Definition
Data integration is the process of combining data from different sources into a single, unified, and consistent view. This process involves discovering, cleaning, monitoring, and transforming data to make it more useful for analysis and business decision-making.
In the context of business planning, data integration is fundamental to creating a single source of truth. It allows organizations to connect financial data from an ERP system with operational metrics from sales, marketing, and HR platforms, enabling a holistic view of performance and more accurate forecasting.
Effective data integration breaks down data silos, supporting comprehensive integrated business planning (IBP) by ensuring that strategic, financial, and operational plans are based on the same underlying information. This consistency is critical for reliable reporting, variance analysis, and building trust in planning models across the organization.
Frequently Asked Questions
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What is the difference between data integration and ETL?
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