Data Consolidation
Published
April 22, 2026
Last updated
April 22, 2026
Definition
Data consolidation is the process of collecting and combining data from multiple sources into a single, consistent, and unified dataset. In business planning, this involves aggregating information from various systems such as ERPs, CRMs, and HRIS platforms to create a comprehensive view of the organization's performance.
This unified dataset serves as a single source of truth, which is foundational for accurate analysis and strategic decision-making. It enables finance and operations teams to conduct reliable financial reporting, perform variance analysis, and build integrated plans without the manual effort and error risk associated with managing disparate spreadsheets and data sources.
Effective data consolidation is a prerequisite for more advanced planning activities. It is closely related to data integration, which encompasses the broader technical processes of connecting systems, but consolidation focuses specifically on the outcome: a clean, aggregated dataset ready for analysis and planning.
Frequently Asked Questions
What is the difference between data consolidation and data integration?
What are the three types of data consolidation?
Why is data consolidation important?
See Pigment in action
The fastest way to understand Pigment is to see it in action. Sign up today and explore how agentic AI can transform the way you plan.

From 8 days to 4 min
Update P&L actuals & financial forecasting
80%
Time cut on data aggregation
12 hours
Saved per month on executive reporting
6 days faster
For scenarios creation and analysis