ISO 8000-62:2018 pdf download.Data quality Part 62: Data quality management: Organizational process maturity assessment: Application of standards relating to process assessment.
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 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 in other data. However, when the root causes of the data nonconformity and their related data are traced and corrected through data quality management processes, recurrence of the same type of data nonconformity can be prevented. Therefore, a framework for process-centric data
ISO 8000-62 specifies 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 to determine the maturity level of processes for data quality management as specified by ISO 8000-61.
The following are within the scope of this document:
— some of the elements of a model for assessing organizational process maturity;
— identifying those elements that exist in otherstandards (process capability levels, process attributes, ordinal scale for measuring process attributes and the scheme for derivation of process capability levels from process attribute rating);
— specifying six maturity levels and process profiles to indicate when organizations have achieved each of the maturity levels;
— providing guidance on how to assess the maturity level of an organization.
Methods or procedures to improve organizational maturity are outside the scope of this document.
The purpose of assessing the organizational process maturity level for data quality management is to understand how well the organization is fulfilling the requirements identified by the process reference model for data quality management specified by ISO 8000-61.
ISO 8000-62 specifies the steps by which to assess organizational process maturity levels, as illustrated in Figure 1.
NOTE ISO/IEC/IEEE 31320-1 provides details on the notation used in this figure, which is an IDEFO A0 diagram.
The organization can demonstrate that operational processes make use of data for which the organization is managing requirements and managing the methods by which to perform data processing. The organization can provide evidence that data meet requirements. The organization is performing, in addition to all of those for maturity of Level 1, the following data quality management processes specified by ISO 8000-61:
— DQP.1. Requirements Management;
— DQC.1. Provision of Data Specifications and Work Instructions;
— DQC.3. Data Quality Monitoring and Control.
4.4.5 Maturity Level 3: Established
The organization can demonstrate that operational processes make use of data for which the organization has implemented common, repeatable processes for performing data quality management. The organization is performing, in addition to all of those for maturity of Level 2, the following data quality management processes specified by ISO 8000-61:
4.4.7 Maturity Level 5: Innovating
The organization can demonstrate that operational processes make use of data for which the organization has implemented processes for performing data quality management that is sustainable in meeting organizational goals. This sustainability involves applying appropriate innovation. The organization is performing, in addition to all of those for maturity of Level 4, the following data quality management processes specified by ISO 800 0-61:
— DQI.1. Root Cause Analysis and Solution Development;
— DQI.2. Data Cleansing;
— DQI.3. Process Improvement for Data Nonconformity Prevention.
4.5 Deriving organizational process maturity level rating from process profiles
4.5.1 Rules for deriving organizational process maturity level ratings.ISO-8000-62-2018