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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →A single source of truth (SSoT) is the agreed, governed authority for a defined piece of information. It tells people and systems which value or view to use for a particular purpose. It does not necessarily mean that every fact lives in one database, or that the chosen source is automatically correct.
What does a single source of truth mean?
An SSoT establishes authority and scope: it identifies which source controls a particular data attribute, business domain, or shared view. The Department of Health – Abu Dhabi’s SSOT protocol defines the concept as a single authoritative dataset used as the definitive source for a specific type of information. The important qualifier is “specific”: an organization should say what information the source governs and who relies on it.
For example, a company might designate one system as authoritative for customer billing addresses while using another for customer communications. A published customer view could combine those sources under documented rules. The view is authoritative for its stated purpose, not a universal answer to every customer-related question.
Does an SSoT mean one database?
No. “Single” describes the authority people should rely on, not necessarily the number of databases, servers, or systems involved. The authoritative view may be assembled from several operational systems, transformed according to shared rules, and exposed through a central repository, a virtualized view, or another governed platform. IBM describes warehouses, data marts, master data management (MDM) platforms, and lakehouses as possible forms.
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Downstream teams may still need copies for applications, reporting, or performance. Those copies should have a defined relationship to the authority: for example, a read-only replica, a view that queries underlying tables, or a transformed dataset. Document who maintains each copy and how consumers can tell whether it is current. Microsoft Learn’s Azure Databricks example describes shared lakehouse data, views, permissions, and data sharing as product-specific ways to manage access and reduce separately synchronized copies; they are not requirements for every SSoT.
SSoT versus a system of record
A system of record is usually an operational system that is authoritative for particular information it captures or manages. An SSoT may use one or more systems of record as inputs and reconcile them into an authoritative view for a broader purpose. These labels can describe different layers of the same data architecture.
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| Concept | What it establishes | Illustrative customer-data example |
|---|---|---|
| System of record | Authority for particular operational data or activity. | A CRM may record customer interactions; an ERP may control billing addresses or account status. |
| SSoT or source-of-truth view | Authority for a declared scope, potentially combining or reconciling inputs. | A governed customer view can apply documented rules to show which system’s value controls each field for analytics. |
The CRM and ERP scenario is a generic illustration, not a claim about a particular organization. The design decision is field-specific: decide which source owns each value or decision, rather than assume one platform must own every customer fact.
Examples of SSoT patterns
Enterprise customer or product data
An MDM approach can reconcile duplicate records and establish shared identifiers, definitions, and stewardship rules. IBM describes MDM as one possible form of source of truth and recommends setting rules for structuring, relating, and reconciling data.
Analytics lakehouse
Azure Databricks describes a lakehouse approach in which shared data can replace multiple separately synchronized copies. Its documentation presents Delta Lake transactions, Unity Catalog permissions, views, and data sharing as mechanisms in that platform’s implementation. Those are product-specific details, not a universal blueprint.
Common-schema customer data
Salesforce Architects describes Data 360 organizing ingested data into raw, cleaned and stored, and modeled layers. Its modeled data conforms to a common information schema called SSOT and can support semantic and application-specific models. This is a Salesforce architecture example.
Government data-attribute registry
The Department of Health – Abu Dhabi protocol describes checking existing sources for an attribute, tracing its origin and use, assigning an owner, securing approval, and registering the established authority. This demonstrates that an SSoT can be governed at the level of an individual attribute, not just a whole enterprise database.
What governance makes a source authoritative?
A label alone does not make data reliable. Authority depends on agreed definitions, accountable ownership, validation, access rules, and documentation. The Abu Dhabi protocol includes validation, ownership, approval, and registration; IBM’s data-governance overview describes governance as the policies and processes that guide how data is managed. Microsoft’s Databricks example illustrates centralized permissions in one implementation.
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Even with an SSoT, records can be incomplete, stale, mismatched, or based on a mistaken definition. Governance helps teams identify and correct such issues; the SSoT principle by itself does not guarantee data quality or objective truth.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to establish an SSoT
- Set the scope. Name the attribute or domain and the business purpose for making a source authoritative.
- Trace the information. Identify where it originates, which systems use it, and whether an authority already exists. This helps avoid competing sources.
- Assign responsibility. Name a data owner or steward and document definitions, validation rules, access rights, and who handles changes.
- Define reconciliation. If multiple systems contribute, specify matching rules and which system controls each field or decision.
- Publish how to use it. Document the authoritative source, its lineage, freshness expectations, and how consumers should treat derived copies or views.
- Review the arrangement. Reassess it when systems, policies, or the meaning of the data change.
The first four actions reflect the Abu Dhabi protocol and IBM’s discussion of source integration. Freshness and lineage expectations are practical governance decisions; the cited materials do not establish a universal review schedule.
How to compare SSoT designs
There is no single architecture that suits every data domain. Compare the choices that affect whether people can use the source consistently:
Quick Recap
- Scope: Is the authority for one attribute, one domain, or cross-enterprise reporting?
- Authority model: Is there a central master, federated domain ownership, or a reconciled view across systems?
- Update model: Do consumers read the source directly, use read-only replicas, or rely on transformed copies?
- Freshness and latency: How current must a value be for its intended use?
- Governance: Who owns definitions, access, validation, and auditability?
- Integration effort: How complex will identity matching, reconciliation, and ongoing maintenance be?
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