What is ISO/TS 8000‑81 about?
ISO/TS 8000‑81 is the 81st part of the ISO 8000 series that focuses on data quality. ISO/TS 8000‑81 specifies a procedure for data profiling to generate the foundation for performing data quality assessment. This profiling is applicable to data sets that are either originally in a structure of tables and columns or are the output from a transformation to create such a structure. ISO/TS 8000‑81 specifies terms and definitions, data profiling, structure analysis, column analysis, relationship analysis required for profiling while data quality assessment.
ISO/TS 8000‑81 also involves performing structure analysis to determine data element concepts, performing column analysis to identify relevant data elements, including statistics about a data set, performing relationship analysis to identify dependencies in a data set.
Note: ISO/TS 8000‑81 does not apply to –
- Methods for extracting and sampling data to be profiled from a data set
- Deriving data rules
- Measuring the extent of nonconformities in a data set
Who is ISO/TS 8000‑81 for?
ISO/TS 8000‑81 on data profiling for data quality assessment is applicable to:
- Any organization that wants to improve its data storing methods
- Organizations providing data management services
- Data management consultants
Why should you use ISO/TS 8000‑81?
Data quality management covers all aspects of data processing, including creating, collecting, storing, maintaining, transferring, exploiting and presenting data to deliver information. Effective data quality management is systemic and systematic, requiring an understanding of the root causes of data quality issues.
ISO/TS 8000‑81 gives guidance on activities that affect one or more information systems, data flows within the organization and with external organizations, any phase of the data life cycle which helps you establish a reliable foundation for digital transformation.
Overall, ISO/TS 8000‑81 helps you to enhance all the aspects of organizational performance including, operational effectiveness and efficiency, data safety, reputation with customers and the wider public as well as compliance with statutory regulations.