Glossary
Single Source of Truth

Single Source of Truth

Published

April 22, 2026

Last updated

April 22, 2026

Definition

A single source of truth (SSoT) is a data management strategy where all of an organization's data is aggregated into a single, centralized location. The goal is to provide a comprehensive and authoritative view of business information, ensuring that decision-makers across all departments are working from the same set of numbers.

Achieving an SSoT typically involves a robust data integration process, where information from disparate systems like ERPs, CRMs, and HRIS is consolidated. Within an FP&A platform, this unified data model serves as the undisputed foundation for financial reporting, forecasting, and analysis, preventing version control issues and manual reconciliation errors.

Ultimately, establishing an SSoT builds trust in the data and fosters better cross-functional collaboration. When teams spend less time debating whose numbers are correct, they can focus more on strategic analysis and driving business performance.

Frequently Asked Questions

Why is a single source of truth important?

A single source of truth is important because it eliminates data discrepancies, improves decision-making confidence, and increases efficiency by reducing time spent on data reconciliation.

What is the difference between system of record and single source of truth?

A system of record is the authoritative source for a specific data element (like an ERP for financial transactions), whereas a single source of truth consolidates data from multiple systems of record to provide a unified view for decision-making.

What is a single source of truth in data analytics?

In data analytics, a single source of truth is a centralized repository where all data is aggregated and cleansed, ensuring every analyst and decision-maker is working from the same trusted dataset.

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