PD ISO/TS 8000-81:2021: Elevate Your Data Quality Assessment with Precision

In the modern digital landscape, data is the lifeblood of any organization. Ensuring the quality of this data is paramount to making informed decisions, driving innovation, and maintaining a competitive edge. Introducing the PD ISO/TS 8000-81:2021, a comprehensive standard designed to enhance your data quality assessment processes through meticulous profiling.

Unveiling the Standard

The PD ISO/TS 8000-81:2021 is a pivotal standard that provides a structured approach to data quality assessment. Released on May 28, 2021, this standard is a testament to the evolving needs of data management in today's fast-paced world. With a concise yet comprehensive format spanning 20 pages, it offers a streamlined methodology for profiling data quality, ensuring that your data assets are both reliable and actionable.

Key Features and Benefits

1. Comprehensive Data Profiling

Data profiling is the cornerstone of effective data quality assessment. This standard provides a detailed framework for profiling data, enabling organizations to identify anomalies, inconsistencies, and areas for improvement. By leveraging this standard, you can ensure that your data is accurate, complete, and fit for purpose.

2. Enhanced Decision-Making

High-quality data is crucial for making informed decisions. The PD ISO/TS 8000-81:2021 empowers organizations to assess their data quality with precision, leading to better decision-making processes. With reliable data at your fingertips, you can drive strategic initiatives and achieve your business objectives with confidence.

3. Streamlined Compliance

In an era where data regulations are becoming increasingly stringent, compliance is non-negotiable. This standard helps organizations align with international data quality benchmarks, ensuring compliance with industry regulations and standards. By adhering to this standard, you can mitigate risks and safeguard your organization's reputation.

4. ISBN and Accessibility

The standard is easily accessible with its unique ISBN: 978 0 539 03805 7. This ensures that you can quickly reference and integrate the standard into your data management practices, enhancing your organization's data quality framework.

Why Choose PD ISO/TS 8000-81:2021?

Choosing the PD ISO/TS 8000-81:2021 standard is a strategic investment in your organization's data management capabilities. It is not just a document; it is a tool that empowers you to transform your data into a valuable asset. By implementing this standard, you can:

• Improve data accuracy and reliability.
• Enhance operational efficiency by reducing data-related errors.
• Boost stakeholder confidence with high-quality data insights.
• Facilitate seamless integration with other data management systems.

Conclusion

In conclusion, the PD ISO/TS 8000-81:2021 is an essential standard for any organization committed to maintaining high data quality standards. Its structured approach to data quality assessment and profiling ensures that your data is not only accurate but also actionable. By adopting this standard, you position your organization at the forefront of data management excellence, ready to tackle the challenges of the digital age with confidence and precision.

Embrace the power of high-quality data with the PD ISO/TS 8000-81:2021 and unlock new opportunities for growth and innovation.

PD ISO/TS 8000-81:2021

• 25.040.40 Industrial process measurement and control

This document 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.

The following are within the scope of this document:

1. performing structure analysis to determine data element concepts;

2. performing column analysis to identify relevant data elements, including statistics about a data set;

3. performing relationship analysis to identify dependencies in a data set.

The following are outside the scope of this document:

1. methods for extracting and sampling data to be profiled from a data set;

2. deriving data rules;

3. measuring the extent of nonconformities in a data set.

This document can be used in conjunction with, or independently of, quality management systems standards.