What is ISO 12043-2018?

Introduction

ISO 12043-2018 is a technical standard that outlines the requirements and guidelines for ensuring the quality and integrity of digital data. In today's digital age, where information is abundant and easily accessible, it is crucial to have standards in place to ensure that the data we rely on is accurate and reliable.

The Purpose of ISO 12043-2018

The primary purpose of ISO 12043-2018 is to establish a framework for data quality management. It provides organizations with a set of guidelines and best practices to follow when dealing with digital data. By adhering to this standard, organizations can improve the accuracy, completeness, consistency, and timeliness of their data.

Key Components of ISO 12043-2018

ISO 12043-2018 covers various aspects of data quality management, including data governance, data architecture, data integration, data cleansing, and data profiling. Let's take a closer look at each component:

Data Governance

Data governance refers to the overall management of data within an organization. It involves defining policies, procedures, and responsibilities related to data management. ISO 12043-2018 provides guidelines for establishing effective data governance frameworks, ensuring that data is properly managed and controlled.

Data Architecture

Data architecture focuses on the design and structure of databases and data systems. ISO 12043-2018 emphasizes the importance of creating a robust and scalable data architecture that supports the organization's data management objectives. This includes defining data models, data flows, and data storage mechanisms.

Data Integration

Data integration involves combining data from different sources to create a unified and consistent view. ISO 12043-2018 provides guidelines for integrating data effectively, ensuring that data from various systems and formats can be seamlessly integrated without loss of quality or consistency.

Data Cleansing

Data cleansing refers to the process of identifying and correcting errors and inconsistencies in data. ISO 12043-2018 outlines best practices for data cleansing, including de-duplication, standardization, and validation techniques. By cleansing data regularly, organizations can improve data accuracy and ensure that reliable insights can be derived from it.

Data Profiling

Data profiling involves analyzing and understanding the characteristics and quality of data. ISO 12043-2018 provides guidelines for conducting data profiling activities, such as assessing data completeness, uniqueness, and integrity. This helps organizations gain insights into the quality of their data and identify areas for improvement.

Conclusion

ISO 12043-2018 plays a crucial role in ensuring the quality and integrity of digital data. By following the guidelines outlined in this standard, organizations can establish effective data management practices and make informed decisions based on accurate and reliable data. Adhering to ISO 12043-2018 not only improves data quality but also enhances organizational efficiency and competitiveness in today's data-driven world.