The role of automated and manual reviews in ensuring data accuracy.
Q: How do auto-checks and manual reviews differ?
A: Auto-checks are designed to quickly flag issues related to data completeness, consistency with industry benchmarks, and whether data fits expected patterns. Manual reviews, however, involve a more in-depth analysis, often catching issues auto-checks may miss, such as minor discrepancies in data points or missing emissions categories.
Q: Can I pass the auto-checks but fail the manual review?
A: Yes, it is possible to pass auto-checks but fail manual reviews. For instance, auto-checks might approve data that technically meets submission requirements, but manual reviewers could identify missing details or inconsistencies within emissions categories.
Q: What’s the value of manual checks?
A: Manual checks provide an additional layer of scrutiny that can catch subtle errors, ensuring the highest data quality and providing more confidence to your customers.