🧩Transaction Structure Data

NEW

Also known as: Reference Transaction Data

Reference-like structures and parameters required for transactions to be created, classified, and processed consistently.

DESCRIPTION

Transaction Structure Data provides the controlled vocabularies, parameters, and templates that enable transactions, such as chart of accounts, tax codes, payment terms, and document types. It sits between master and transactional data, shaping how transactions are recorded and interpreted. Governance ensures controlled change, versioning, and auditability. High quality structure data reduces reconciliation issues and supports consistent analytics across systems.

ALTERNATIVE DEFINITIONS

Wikipedia

Reference data is data used to classify or categorize other data.

Emphasizes the categorization function foundational to transaction structures like codes and terms.

Source

Wikipedia

Master data represents the business objects that are agreed on and shared across the enterprise.

Provides contrast to reference/structure data enabling transactions involving master objects.

Source

RELATED TERMS

Reference Data Chart of Accounts Payment Terms Price List Model Data Enterprise Structure Data Governance Data Quality

COMPETING TERMS

Transactional Data Master Data

RELATIONS

• Broader: Data

KNOWLEDGE AREAS

Reference & Master Data Data Management Data Modeling Data Governance Data Integration & Interoperability

TARGET AUDIENCE

Data Modeler Data Architect Data Steward Data Governance Manager BI Specialist Information Analyst

EXTERNAL SOURCES

• Wikipedia - Reference data
• ISO - ISO standard on reference data
• Microsoft Learn - Chart of accounts structure

TOP QUESTIONS

What is included in Transaction Structure Data?

Code lists, chart of accounts, tax codes, document types, payment terms, and parameters that define how transactions are recorded.

Category: Definition

How does it differ from Transactional Data?

It defines the structure and rules, while transactional data records the actual events and amounts.

Category: Misunderstanding

Why is governance critical for structure data?

Uncontrolled changes break reporting and integrations; governance enforces approval, versioning, and lineage.

Category: Management

Who maintains Transaction Structure Data?

Finance, Operations, and Data Stewards collaborate, often through ERP configuration and MDM reference domains.

Category: Management

What are common mistakes?

Ad-hoc code additions, missing effective dates, and inconsistent mappings across systems cause reconciliation issues.

Category: Mistakes

How does structure data affect analytics?

Consistent categorization enables accurate aggregations, KPIs, and cross-system comparisons.

Category: Relevancy

What standards help with structure data?

ISO industry codes, tax schemas, and accounting standards guide consistent classification.

Category: Standards

How is it distributed across systems?

Through reference data services, APIs, and configuration transport mechanisms with controlled rollout.

Category: Integration

What’s the risk of poor structure data?

Misclassified transactions, audit findings, and erroneous KPIs undermine trust.

Category: Risks