Understand how the Data and Information Inventory relates to other inventories - Data and Information Inventory and Attributes
Understand how the Data and Information Inventory relates to other inventories
(Chapter 5 of Data and Information Inventory and Attributes)
Executive Summary: Chapter Overview
IF4ITThe Bottom Line
Core Concepts
| Concept | Definition & Strategic Role |
|---|---|
| Integration Payload | Integration Payload values are discovery inputs and relationship links for governed Data and Information types. They help convert informal integration descriptions into explicit references to Semantic IDs. |
| Capability Inputs and Outputs | Capability records reference the data types they consume and produce. These links show how business and IT capabilities depend on governed information flows. |
| Authoritative Application | The Authoritative Application identifies the system of record for a data type. This relationship supports ownership clarity, system-of-record maps, and rationalization decisions. |
Quick Q&A
Question: How do other inventories make the Data and Information Inventory more useful?
Read More Below
The Data and Information Inventory has a direct seeding relationship with the Integrations Inventory and Attributes. The Integration Payload attribute on every Integration record is a reference to a Data and Information type. When the Integrations Inventory is populated before the Data and Information Inventory is formally established, the distinct Payload values across all integration records become the discovery list for the first pass of this inventory — every distinct Payload value is a candidate Data and Information Noun Instance. The Integrations Inventory is authoritative for Integration records; this inventory is authoritative for Data and Information type definitions. The connecting attributes are Integration Payload on the integration side and Semantic ID on the data type side.
The Data and Information Inventory connects to the Capabilities Inventory and Attributes through the Key Input Data and Information and Key Output Data and Information attributes on Capability records. Every Capability that produces or consumes a named data type references that type’s Semantic ID. When this inventory is published and mature, those references become governed links rather than descriptive text. The Producing Capabilities and Consuming Capabilities relationship attributes in this inventory are derived from those Capability records.
The Data and Information Inventory connects to the Applications Inventory and Attributes through the Authoritative Application relationship attribute. Every Data and Information type has at most one Application that is its system of record — derived from the Authoritative Source attribute. The Applications Inventory carries a complementary attribute listing the data types for which each Application is authoritative. Together, these attributes produce the enterprise’s system-of-record map.
The Data and Information Inventory connects to the Data Stores Inventory (not yet published — refer to the IF4IT Enterprise Inventory Management Best Practices document). The Housing Data Stores and Source of Truth Store relationship attributes reference specific Data Store records. The Data Stores Inventory is authoritative for the physical containers; this inventory is authoritative for the logical types they contain.
The Data and Information Inventory connects to the Data Sensitivity Types Inventory through the Sensitivity Classification attribute. Every classification value in this inventory is a governed reference to a Data Sensitivity Type record. The Data Sensitivity Types Inventory defines the classifications; this inventory applies them at the type level.
The Data and Information Inventory connects to the Systems Deployment Pipelines Inventory (not yet published — refer to the IF4IT Enterprise Inventory Management Best Practices document) through the Related Systems Deployment Pipelines relationship attribute. Systems Deployment Pipelines move Data and Information types across environments, including Production-to-non-Production flows that require data sanitization governance.
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