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Information technology – Artificial intelligence – Process management framework for big data analytics

Last updated: 7 Jan 2025

Development Stage

Pre-draft

Draft

Published

17 Nov 2022

Scope

This document provides a process management framework for using big data analytics (BDA) across most functions of an organization. Big data are extensive datasets, primarily in the characteristics of volume, variety, velocity, and/or variability that require a scalable technology for efficient storage, manipulation, management, and analysis. The quantum of data, the collection, storage, utilization, technology, the speed of data generation, structure and variety of data cannot be handled by the conventional data handling methods and frameworks.

This document provides a BDA process reference model (BDA PRM) and then provides process assessment model (BDA PAM). The BDA-PAM are composed of two dimensions: process dimension that includes processes based on a set of PRMs including the BDA PRM and capability dimension based on process measurement framework (PMF).

This document defines a process reference model and process assessment model as part of the framework for big data analytics, conformant with the requirements of ISO/IEC 33004:2015 and ISO/IEC 33020:2019, for use in performing a conformant assessment in accordance with the requirements of ISO/IEC 33002;2015 © ISO/IEC 2022 All rights reserved

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Categorisation

Domain: Horizontal

Key Information

Committee: ISO/IEC JTC 1/SC 42

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