BS ISO 21378:2019 Audit Data Collection

The BS ISO 21378:2019 Audit Data Collection standard is an essential resource for professionals in the field of auditing and data management. Released on November 27, 2019, this comprehensive document spans 218 pages and provides a detailed framework for the collection of audit data. With its unique ISBN 978 0 580 97132 7, this standard is a must-have for anyone looking to enhance their understanding and implementation of audit data collection processes.

Overview

In today's data-driven world, the ability to effectively collect and analyze audit data is crucial for organizations aiming to maintain compliance, improve operational efficiency, and make informed decisions. The BS ISO 21378:2019 standard offers a structured approach to audit data collection, ensuring that data is gathered in a consistent, reliable, and efficient manner.

Key Features

• Comprehensive Coverage: With 218 pages of in-depth content, this standard covers all aspects of audit data collection, from initial planning to final reporting.
• International Recognition: As an ISO standard, BS ISO 21378:2019 is recognized globally, making it a valuable tool for organizations operating in multiple countries.
• Up-to-Date Information: Released in late 2019, this standard reflects the latest advancements and best practices in the field of audit data collection.
• Structured Framework: The standard provides a clear and structured framework for collecting audit data, helping organizations streamline their processes and improve data accuracy.

Benefits of Using BS ISO 21378:2019

Implementing the BS ISO 21378:2019 standard can offer numerous benefits to organizations, including:

• Enhanced Data Quality: By following the guidelines outlined in the standard, organizations can ensure that their audit data is accurate, complete, and reliable.
• Improved Compliance: Adhering to an internationally recognized standard helps organizations meet regulatory requirements and avoid potential penalties.
• Increased Efficiency: The structured approach to data collection can help organizations save time and resources, allowing them to focus on more strategic initiatives.
• Better Decision-Making: High-quality audit data provides a solid foundation for informed decision-making, helping organizations achieve their goals and objectives.

Who Should Use This Standard?

The BS ISO 21378:2019 standard is designed for a wide range of professionals, including:

• Auditors: Professionals responsible for conducting audits and ensuring compliance with industry standards and regulations.
• Data Analysts: Individuals tasked with analyzing audit data to identify trends, patterns, and areas for improvement.
• Compliance Officers: Personnel responsible for ensuring that their organization adheres to relevant laws and regulations.
• IT Professionals: Experts involved in the implementation and maintenance of data collection systems and technologies.

Conclusion

The BS ISO 21378:2019 Audit Data Collection standard is an invaluable resource for any organization looking to improve its audit data collection processes. With its comprehensive coverage, international recognition, and up-to-date information, this standard provides a solid foundation for achieving high-quality audit data and ensuring compliance with industry standards. Whether you are an auditor, data analyst, compliance officer, or IT professional, the BS ISO 21378:2019 standard is an essential tool for enhancing your organization's data collection capabilities.

BS ISO 21378:2019

• 03.120.20 Product and company certification. Conformity assessment

This document establishes common definitions of accounting data elements and provides the information necessary to extract relevant audit data.

This document is applicable to the bridging of understanding among auditors, auditees, software developers and IT professionals, and creating a mechanism for expressing the information, common to accounting, in a manner independent of accounting and ERP systems. This document serves as a foundation for local data extraction efforts in the areas of general ledger, accounts receivable, sales, accounts payable, purchase, inventory, and property, plant and equipment.