ISO 8000-63:2019
(Main)Data quality — Part 63: Data quality management: Process measurement
Data quality — Part 63: Data quality management: Process measurement
This document specifies a structure for process measurement stacks that organizations can instantiate to measure the characteristics of processes for data quality management. This structure consists of goal, sub goal, question, indicator and metric. The instantiated stack consists of content that is determined by a chosen model for assessing the maturity of the processes under consideration. The following are within the scope of this document: — the fundamentals of process measurement; — the inspection plan and inspection order by which to perform measurement; — the structure of the measurement stack; — the role of the chosen maturity model in instantiating the stack. The following are outside the scope of this document: — methods for inspecting implemented processes; — methods for generating measured values from the inspection of processes; — how to choose a suitable maturity model. This document can be used in conjunction with, or independently of, quality management systems standards. NOTE ISO 8000‑8 specifies concepts and methods for measuring information and data quality.
Qualité des données — Partie 63: Gestion de la qualité des données: Évaluation du processus
General Information
Standards Content (Sample)
INTERNATIONAL ISO
STANDARD 8000-63
First edition
2019-12
Data quality —
Part 63:
Data quality management: Process
measurement
Qualité des données —
Partie 63: Gestion de la qualité des données: Évaluation du processus
Reference number
©
ISO 2019
© ISO 2019
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Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Abbreviated terms . 2
5 Fundamentals of process measurement . 2
6 Process measurement and maturity models . 2
7 Inspection plans . 4
7.1 Overview of inspection plans . 4
7.2 The measurement stack structure . 4
7.3 Goals . 5
7.4 Sub goals . 5
7.5 Questions . 6
7.6 Indicators . 6
7.7 Metrics . 6
7.8 Logical coherence of the measurement stack . 6
7.9 Role of value assessment rules in process measurement . 7
7.10 Exploiting the measurement stack with specific maturity models . 8
7.11 Performing process measurement. 8
Annex A (informative) Document identification .13
Annex B (informative) Reference tables for particular process assessment models .14
Annex C (informative) Example measurement stacks for data quality management .16
Annex D (informative) Example of process assessment based on ISO/IEC 33020 .19
Annex E (informative) Examples of how to define characteristics to measure for data
quality processes .23
Bibliography .25
Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
bodies (ISO member bodies). The work of preparing International Standards is normally carried out
through ISO technical committees. Each member body interested in a subject for which a technical
committee has been established has the right to be represented on that committee. International
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ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of
electrotechnical standardization.
The procedures used to develop this document and those intended for its further maintenance are
described in the ISO/IEC Directives, Part 1. In particular, the different approval criteria needed for the
different types of ISO documents should be noted. This document was drafted in accordance with the
editorial rules of the ISO/IEC Directives, Part 2 (see www .iso .org/ directives).
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. ISO shall not be held responsible for identifying any or all such patent rights. Details of
any patent rights identified during the development of the document will be in the Introduction and/or
on the ISO list of patent declarations received (see www .iso .org/ patents).
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
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expressions related to conformity assessment, as well as information about ISO's adherence to the
World Trade Organization (WTO) principles in the Technical Barriers to Trade (TBT), see www .iso .org/
iso/ foreword .html.
This document was prepared by Technical Committee ISO/TC 184, Automation systems and integration,
Subcommittee SC 4, Industrial data.
A list of all parts in the ISO 8000 series can be found on the ISO website.
Any feedback or questions on this document should be directed to the user’s national standards body. A
complete listing of these bodies can be found at www .iso .org/ members .html.
iv © ISO 2019 – All rights reserved
Introduction
The ability to create, collect, store, maintain, transfer, process and present information and data to
support business processes in a timely and cost-effective manner requires both an understanding of
the characteristics of the information and data that determine its quality, and an ability to measure,
manage and report on information and data quality.
ISO 8000 defines characteristics of information and data that determine its quality, and provides
methods to manage, measure and improve the quality of information and data.
When assessing the quality of information and data, it is useful to perform the assessment in accordance
with documented methods. It is also important to document the tailoring of standardized methods with
respect to the expectation and requirements pertinent to the business case at hand.
ISO 8000 includes parts applicable to all types of data and parts applicable to specific types of data.
ISO 8000 can be used independently or in conjunction with quality management systems.
There is a limit to data quality improvement when only the nonconformity in data is corrected, since the
nonconformity can recur. However, when the root causes of the data nonconformity and their related
data are traced and corrected through data quality processes, recurrence of the same type of data
nonconformity can be prevented. Therefore, a framework for process-centric data quality management
is required to improve data quality more effectively and efficiently. Furthermore, data quality can be
improved through assessing processes and improving under-performing processes identified by the
assessment.
This document specifies a process measurement approach that is appropriate for use when assessing
process maturity. This approach can serve when an organization is looking to improve the maturity of
data quality management.
This document can be used on its own or in conjunction with other parts of ISO 8000.
This document is intended for use by those actors that have a vested interest in information or data
quality, have a focus on one or more information systems and have a concern for both inter- and intra-
organization views, throughout all phases of the data life cycle.
Annex A contains an identifier that unambiguously identifies this document in an open information
system.
INTERNATIONAL STANDARD ISO 8000-63:2019(E)
Data quality —
Part 63:
Data quality management: Process measurement
1 Scope
This document specifies a structure for process measurement stacks that organizations can instantiate
to measure the characteristics of processes for data quality management. This structure consists
of goal, sub goal, question, indicator and metric. The instantiated stack consists of content that is
determined by a chosen model for assessing the maturity of the processes under consideration.
The following are within the scope of this document:
— the fundamentals of process measurement;
— the inspection plan and inspection order by which to perform measurement;
— the structure of the measurement stack;
— the role of the chosen maturity model in instantiating the stack.
The following are outside the scope of this document:
— methods for inspecting implemented processes;
— methods for generating measured values from the inspection of processes;
— how to choose a suitable maturity model.
This document can be used in conjunction with, or independently of, quality management systems
standards.
NOTE ISO 8000-8 specifies concepts and methods for measuring information and data quality.
2 Normative references
The following documents are referred to in the text in such a way that some or all of their content
constitutes requirements of this document. For dated references, only the edition cited applies. For
undated references, the latest edition of the referenced document (including any amendments) applies.
ISO 8000-2, Data quality — Part 2: Vocabulary
3 Terms and definitions
For the purposes of this document, the terms and definitions given in ISO 8000-2 apply.
ISO and IEC maintain terminological databases for use in standardization at the following addresses:
— ISO Online browsing platform: available at https:// www .iso .org/ obp
— IEC Electropedia: available at http:// www .electropedia .org/
4 Abbreviated terms
CMMI Capability Maturity Model Integration
EFQM European Foundation for Quality Management
TPI Test Process Improvement
5 Fundamentals of process measurement
This document specifies an approach for measuring the characteristics of data quality management
processes. These processes are specified by ISO 8000-61 (see Figure 1), which describes each process
with a purpose, one or more outcomes and one or more activities.
Figure 1 — Detailed structure of the data quality management processes in ISO 8000-61
This document specifies a structure that enables an organization to define a measurement stack based
on the purpose, outcomes and activities of the process that the organization is intending to measure.
6 Process measurement and maturity models
The purpose of process measurement is to provide inputs to maturity assessment of an implemented
process (the “target process”). This assessment is performed using a chosen maturity model (e.g. CMMI,
TPI, EFQM). Such assessment involves analysing characteristics that are specified by the maturity
2 © ISO 2019 – All rights reserved
model. These characteristics are represented by either qualitative or quantitative values. The model
specifies how these values indicate the maturity of the target process.
This document specifies an approach that involves identifying how to generate appropriate measured
values and then using rules to convert those values to the characteristics specified by the maturity
model. This approach can be used with all types of maturity model.
In order to perform assessments, an organization requires an inspection plan that includes measurement
stacks to identify the measured values that are appropriate for the
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