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ISO 38505:2018
ISO 38505:2018 Information technology – Governance of IT – Governance of data – Part 2: Implications of ISO/IEC 38505-1 for data management
CDN $312.00
Description
This document provides guidance to the members of governing bodies of organizations and their executive managers on the implications of ISO/IEC 38505-1 for data management. It assumes understanding of the principles of ISO/IEC 38500 and familiarization with the data accountability map and associated matrix of considerations, as presented in ISO/IEC 38505-1.
This document enables an informed dialogue between the governing body and the senior/executive management team of an organization to ensure that the data use throughout the organization aligns with the strategic direction set by the governing body.
This document covers the following:
– identifying the information that a governing body requires in order to evaluate and direct the strategies and policies relating to a data-driven business;
– identifying the capabilities and potential of measurement systems that can be used to monitor the performance of data and its uses.
Edition
1
Published Date
2018-05-16
Status
PUBLISHED
Pages
36
Language
English
Format
Secure PDF
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Abstract
This document provides guidance to the members of governing bodies of organizations and their executive managers on the implications of ISO/IEC 38505-1 for data management. It assumes understanding of the principles of ISO/IEC 38500 and familiarization with the data accountability map and associated matrix of considerations, as presented in ISO/IEC 38505-1.
This document enables an informed dialogue between the governing body and the senior/executive management team of an organization to ensure that the data use throughout the organization aligns with the strategic direction set by the governing body.
This document covers the following:
- identifying the information that a governing body requires in order to evaluate and direct the strategies and policies relating to a data-driven business;
- identifying the capabilities and potential of measurement systems that can be used to monitor the performance of data and its uses.
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