ISO 8000-61 conceptual model
ISO 8000-61 conceptual model

A few years ago we did a series of blog posts on ISO 8000-150 which have been perennially popular. Well, since those posts were created ISO 8000-61 has been published which provides a richer and more comprehensive approach to data quality management.

The overall conceptual model of Part 61 is illustrated above and summarised in the following text.

The implementation cycle is based on the Plan, Do, Check, Act cycle defined in ISO 9001.

The key activities are:

  • Data Quality Control – Processes to ensure that data arising from activities meets requirements;
    • Provision of Data Specifications and Work Instructions – Ensuring data requirements arising from processes are specified, as are the process steps;
    • Data Processing – Checking that data arising from processes meets data requirements;
    • Data Quality Monitoring and Control – Identify and respond to instances where data processing does not conform to requirements;
  • Data Quality Assurance – This process assesses data quality levels and the performance of processes relating to data quality;
    • Review of Data Quality Issues – Assess reported data quality issues to understand their nature and extent;
    • Provision of Measurement Criteria – Development of measurement metrics and methods to support data quality measurement;
    • Measurement of Data Quality and Process Performance- Engagement of resources to measure data quality levels and assessing the measurement process;
    • Evaluation of Measurement Results – Analyse outputs of data quality measurement and assess the impacts of poor data quality and the measurement process;
  • Data Quality Improvement – Deliver sustainable data quality improvements;
    • Root Cause Analysis and Solution Development – Identify root causes of data quality issues and propose solutions to prevent re-occurrence;
    • Data Cleansing – Correction of data quality issues using automated tools and/or human intervention;
    • Process Improvement for Nonconformity Prevention – Implementation of solutions to prevent re-occurrence of data and process non-conformities;
  • Data Quality Planning – Development and agreement of the overall requirements, objectives and plan for delivering the desired maturity of data quality management to the organisation;
    • Requirements Management – Identification, definition and prioritisation of the delivery of different data related requirements for the organisation;
    • Data Quality Strategy Management – Establish, evaluate and improve the organisations Data Quality Strategy;
    • Data Quality Policy/ Standards/ Procedures Management – Development of policies, standards and procedures that support the data quality strategy;
    • Data Quality Implementation Planning – Development of a plan that defines roles, responsibilities, sequencing, funding and technology enablers to perform all other data quality management related activities;

The Data-Related Support processes cover:

  • Data Architecture Management – The overall data architecture of the organisation is understood along with identification of master data sources and approaches to master data management;
  • Data Transfer Management – Ensure that data transfers meet requirements and that there are suitable audit trails of data transfers;
  • Data Operations Management – Data environments are effectively managed with effective data processing, capacity planning, suitable backup approaches and management of database technologies;
  • Data Security Management – Establish and implement data security policies and audit their effectiveness;

The Resource Provision process provides resources at an organisational level:

  • Data Quality Organisation Management – Establish data quality management approaches within organisational units, committees and networks of key data staff across the organisation and sharing of key data and information about data quality;
  • Human Resource Management – Development of data quality knowledge and skills within the workforce including sharing of good practices and skills across the organisation.

If you want to find out more about how the standard can be applied, why not enrol on our online training course? Alternatively, you can buy the Managing Data Quality book by Tim King and I that includes a detailed explanation of ISO 8000-61.

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