During an audit, which of the following would be MOST helpful in establishing a baseline for measuring data quality?
During an audit, which of the following would be MOST helpful in establishing a baseline for measuring data quality?
During an audit, industry standard business definitions are the most helpful in establishing a baseline for measuring data quality. These definitions provide a common and widely accepted reference point for understanding and assessing data quality within a specific industry. They ensure consistency and accuracy across various systems and applications, which is crucial for auditing data quality. This common language and understanding of key terms and concepts help in setting an objective benchmark for data quality measurement.
C is a better answer
C should be the right answer. Validation of rules by the business.
When establishing a baseline for measuring data quality during an audit, the MOST helpful option among the provided choices would be: A. Industry standard business definitions Industry standard business definitions provide a common and widely accepted reference point for understanding and assessing data quality. They help ensure that data is consistent, accurate, and aligned with established norms within a specific industry. Having clear industry standards can be crucial for auditing data quality because they provide a benchmark against which you can compare the data being audited. While input from customers (option B), validation of rules by the business (option C), and built-in data error prevention application controls (option D) are important aspects of data quality management, they may not necessarily provide the most suitable baseline for measuring data quality during an audit. Customer input and business rule validation can be subjective and may vary, while data error prevention controls are more focused on preventing errors than assessing existing data quality.
I think its D. Built-in data error prevention application controls, as they directly address data quality at the source and provide an objective basis for evaluating data accuracy and integrity.
But I think you need to validate of rules by the business before Built-in error prevention application controls So, the answer should be C
In conclusion, while all of the options listed can contribute to establishing a baseline for measuring data quality, industry standard business definitions are the most helpful as they provide a common language and understanding of key terms and concepts used in the organization, which can help to ensure that data is consistent and accurate across different systems and applications
While validation of rules by the business (Option C) is important for ensuring that data validation rules accurately reflect business requirements and expectations, industry standard business definitions (Option A) provide a broader and more foundational framework for establishing a baseline for measuring data quality. They provide a common reference point and set the foundation for consistent and standardized data management practices, making them the MOST helpful factor in establishing a baseline for data quality measurement during an audit.