Data and Information Inventory and Attributes - Operational attributes for the Data and Information Inventory

Data and Information Inventory and Attributes

Chapter 17. Operational attributes for the Data and Information Inventory

Authored and Published By: The International Foundation for Information Technology (IF4IT), LLC

Executive Summary: Chapter Overview

IF4IT

The Bottom Line

This chapter defines operational attributes that describe how Data and Information types behave in day-to-day enterprise use. Volume, velocity, availability expectations, operational dependency, processing frequency, and support considerations help teams understand the practical workload, service, and resilience implications of governing each type.

Core Concepts

ConceptDefinition & Strategic Role
Volume and VelocityVolume and velocity describe how much content exists and how quickly it changes or moves. These attributes influence platform sizing, storage choices, integration design, and monitoring needs.
Operational DependencyOperational dependency indicates which business or IT operations rely on the data type. It helps prioritize availability, support, recovery, and incident response planning.
Processing FrequencyProcessing frequency captures how often the data type is created, refreshed, transmitted, or consumed. This helps align batch, streaming, and real-time architecture decisions with operational reality.

Quick Q&A

Question: Why are operational attributes important for a logical data inventory?

Answer: Logical governance decisions still have operational consequences. Knowing volume, velocity, processing frequency, and operational dependency helps teams design appropriate storage, integration, support, monitoring, and recovery practices for the systems that handle each Data and Information type.

Read More Below

Operational attributes capture who consumes this Data and Information type in day-to-day operations and what the operational implications of quality failures are.

Attribute NameMaturityDescription and Notes

Typical Consumers

[Multi-Value]

Walk

Description — The primary business roles, teams, or systems that consume this Data and Information type in their day-to-day operations.

Benefit(s) — Identifies the stakeholders most affected by data quality failures or access disruptions for this type. Supports change impact assessment when the type definition, format, or authoritative source changes.

Source — Manual.

Examples — Finance Team (Invoice data), Customer Service Representatives (Customer Profile), Risk Management (Regulatory Filing), Data Science Team (Analytical Data)

How to cite this page

When referencing this page in academic work, internal standards, or external publications, include the page title, IF4IT as author and publisher (The International Foundation for Information Technology (IF4IT), LLC), the URL, and your access date.

Example (informal web citation):

The International Foundation for Information Technology (IF4IT), LLC. Operational attributes for the Data and Information Inventory | Data and Information Inventory and Attributes. https://if4it.org/best-practices/data-and-information-inventory-and-attributes/operational-attributes-for-the-data-and-information-inventory/ (accessed 2026-07-20).

See About Us for content governance and site-wide citation guidance.

Copyright for The International Foundation for Information Technology (IF4IT), LLC: 2008 - Present

Legal Disclaimers
Share:
Contact Us → Subscribe →