Integrations Inventory and Attributes - Understand the relationship between the Integrations Inventory and the Data and Information Types Inventory
Integrations Inventory and Attributes
Chapter 34. Understand the relationship between the Integrations Inventory and the Data and Information Types Inventory
Executive Summary: Chapter Overview
IF4ITThe Bottom Line
Core Concepts
| Concept | Definition & Strategic Role |
|---|---|
| Integration Payload | The business-level data or information content moving through the integration. |
| Data Type Mapping | Payloads can be linked to governed Data and Information Type records for lineage and impact analysis. |
| Data Flow Lineage | Integration records show where data originates, where it moves, and which systems or entities consume it. |
Quick Q&A
Question: How does the Integrations Inventory support data governance?
Read More Below
The Integration Payload attribute captures the business-level description of the data or information flowing through each integration. The Data and Information Types Inventory (not yet published — refer to the IF4IT Enterprise Inventory Management Best Practices document) will provide the formal taxonomy to which those payloads are mapped. The relationship is consumption: the Integrations Inventory consumes Data and Information Type definitions to formally classify its payloads.
When the Data and Information Types Inventory is published, the Integration Payload attribute will be supplemented by a formal reference to one or more Data and Information Type Semantic IDs. Until then, Integration Payload values are documented as descriptive text. The Integrations Inventory is itself a discovery source for the Data and Information Types Inventory — the set of distinct Payload values across all integration records reveals the range of data and information types the enterprise moves through its integration fabric.
When established, this relationship enables enterprise-level data flow lineage: for any given Data and Information Type, the complete set of integrations that produce, transmit, or consume it is immediately queryable. This lineage is essential for data governance, privacy impact assessment, and regulatory compliance mapping — particularly for data types that carry PII, PHI, or other regulated content.
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