Ace the CESGA Challenge 2025 – Empower Your ESG Expertise with EFFAS!

The choice indicating implemented internal controls does not cause difficulties in relation to data quality because internal controls are designed to enhance the reliability and accuracy of financial reporting and data management. Effective internal controls can help ensure that data is collected, processed, and reported consistently, which mitigates risks associated with errors, fraud, and overall data inconsistency. When robust internal controls are in place, they serve to improve data quality rather than complicate it.

In contrast, the other factors discussed can indeed hinder data quality. The scope of data used by companies can vary significantly, leading to inconsistencies in what is measured and reported. Different consolidation methods can result in discrepancies in how data is aggregated, affecting comparisons across reports and companies. Comparability among companies is inherently challenged by diverse reporting standards, practices, and frameworks, leading to difficulties in interpreting and assessing environmental, social, and governance metrics. Therefore, implemented internal controls stand out as a factor meant to ensure high data quality.