A data analytics team develops a new inventory management dashboard. The dashboard is fast, connects to the database without errors, and all calculations are mathematically correct. However, during the final review, the warehouse manager notes that the dashboard tracks inventory by "product category" instead of the requested "individual SKU," making it unusable for daily operations. This discrepancy represents a failure in which data quality assurance practice?
Requirement testing is a quality assurance process that validates whether a data product, such as a dashboard or report, meets the specific needs and criteria defined by the stakeholders. In this scenario, the dashboard failed to meet the warehouse manager's stated requirement to track inventory by individual SKU, even though it was technically functional. This indicates a failure to properly test the final product against the initial business requirements. Stress testing evaluates system performance under heavy load, unit testing verifies individual components like calculations in isolation, and data profiling is used to analyze source data to understand its structure and content.
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CompTIA Data+ DA0-002 (V2)
Data Governance
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