ISO TS 8000-60:2017 pdf free download.Data quality Part 60 : Data quality management : Overview.
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 olinformation and data.
When assessing the quality of Information and data, ft 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 specilic types ol data. ISO 8000 can be used independently or in coniunction with quality management systems.
ISO TS 8000-60:
— specifies core concepts applicable to the parts of ISO 8000 related to data quality management;
— gives an overview of each of those parts:
— can be used on its own or in conjunction with other parts of ISO 8000.
ISO TS 8000-60 is Intended for use by those actors that have a vested interest in Information or data quality, with a focus on one or more information systems and both inter- and intra-organization views. throughout all phases of the data life cycle.
Annex A contains an identifier t1at unambiguously identifies this document in an open information system.
ISO 8000-61 defines a process reference model It specifies the processes required for data quality managemcnL These processes can be:
— the subfrct of measuring their characteristics (as in ISO 8000-63);
— the scope across which to assess organizational process maturity (as in ISO 8000-62 and
ISO 8000-64).
ISO 8000-62 supports organizations in assessing their process maturity with respect to data quality management as specified in ISO 8000-61, This support is in the form of particular elements of a maturity model. These elements conform to ISO/IEC 33004. Organizations can use these elements In combination with their own assessment indicators o determine the maturity level of an organization.
ISO 8000-63 specifIes a measurement procedure and measurement stack for measuring the characteristics of processes. These characteristics are the evidence by which organizations can assess their process maturity for data quality management, for example using the maturity models within ISO 8000-62 and ISO 8000-64.
ISO 8000-64 supports organizations In assessing their process maturity with respect to data quality management as specified in 1St) 8000-61. This support Is in the form cia procedure that is based on the Test Process Improvement method.
43 Overview of ISO 8000-61
ISO 8000-61 specifies the processes required for data quality management (see Eigssre.2). Each process Is defined by the purpose, outcomes and activities that are to be applied for planning, controlling, assunng and improving data quality. The processes are used as a reference model in assessing and improving data quality management.
1St) 8000-61 contains Fundamental principles of data quality management. the structure of data quality management processes and a description of each process.
ISO 8000-61 covers the management of quality for digital data sets that include not only structured data stored in databases, bat also less structured data such as images, audio, video and electronic documents. ISO 8000-61 is also intended for use by organizations that have multiple application systems sharing and exchanging data and that, therefore, need to manage data quality at the organization’s level.
ISO 8000-61 specifies a process reference model for use by Internal and external parties. Induding certification bodies, to assess process capability or organizational process maturity for data quality management, and enhance data quality through process improvement.
Data quality plannrng establishes data requirements and objectives for data quality, creating plans to achieve the objectives and evaluating the performance or the plans. Data quality planning consists of requirements management, data quality strategy management, data quality policy/standards! procedures management and data quality implementation planning.
Data quality control is carried out based on the implementation plan established in the data quality planning. The process, when successful, delivers data that meet requirements. The process involves creating, using and updating data according to specified work Instructions, arid monitoring quality by checking whether the data conform to pre-determined specifications. Data quality control consists of the delinitlon of data specifications and work Instructions for data quality, data processing and data quality monitoring and control
Data quality assurance measures data quality levels and the process performance related to data non- conformities or other issues that have arisen as a result of data quality planning or data quality control. This measurement provides evidence by which to evaluate the impact of any identified poor levels of data quality on the effectiveness and efficiency of business processes, Data quality assurance consists of the review of data quality issues, the provision of measurement criteria, the measurement of data quality and process performance and the evaluation of measurement results.
Data quality improvement involves analysing the root causes of data quality issues based on the assessment results derived from data quality assurance. In order to prevent future data non- conformities, data quality improvement corrects existing non-conformities and also transforms processes as appropriate. Data quality improvement consists of a root cause analysis and solution development, data cleansing and process improvement for data non-conformity prevention.
— process profiles that indicate when organizations have achieved each of the maturity levels.
Each maturity level consists of a numeric indicator (i.e. 0 to 5), a title (e.g. Basic’), a description of the state of an organization at that level of maturity and a sub’set of the processes from ISO 8000-61. This sub’set consists of the processes that are assessed when determining whether the organization has achieved the corresponding level of maturity.
Each process profile specifies the target for the process capability level of every process at the corresponding maturity level. If each of those processes is performing at that capability level or above. then the organization has achieved the particular level of maturity.
ISO 8000-62 provides guidance on assessing organizational process maturity by covering the Following topics:
— assessment activities;
— roles, responsibilities and competence for performing assessment;
— assessment Inputs and outputs;
— a fictional example of performing an assessment.
4.5 Overview of ISO HOO063
ISO 0000-63 speciFies the stack that an organization can instantiate to measure the characteristics of processes for data quality management. This stack consists of a goal, a question, an Indicator and a metric as the structure by which to conduct measurement of an iden tilled charactenst ic of the process. ISO 8000-63 provides fundamental principles of the measurement of process characteristics, the structure of the stack for the measurement of process characteristics, and the way in which the stack can support various approaches to assessing processes.
Process measurement consists of two phases:
— a definition phase, creating the Inspection plan for measuring and rating the raw data using the measurement stack (see Figure 4)
— a measurement phase, obtaining and assessing the raw data values according to the defined inspect ion plan.
The definition phase consists of the following steps:
— identifying the intended purpose of the measurement results;
EXAMPLE To identify the use of the results In performing the assessment of organizational process maturity using (hr model in ISO 0000-64
— identifying those characteristics of the process that are of significance to the intended purpose;
— identifying a set of goals, questions, Indicators and metrics forming a measurement stack that can generate results suitable for determining values of the identified process characteristics;
— identifying a mapping of how to transform the measurement results to determine the values of the identified process characteristics.
EXAMPLE The measurement results form the basis on which to determine the process attribute ratings for data quality management, when performing the assessment of organizational process maturity using the model
In ISO 8000-62.
The measurement phase consists of the following steps:
— collesting the raw data values that form the measurement results.