Analytics Testing: Ensuring Data Integrity
Ensuring data integrity is crucial for accurate decision-making and regulatory compliance. Poor data quality costs businesses an average of $15 million annually. This highlights the need for robust analytics testing. This article explores the importance of analytics testing. It discusses key use cases and common challenges. Strategies to improve analytics testing processes will be provided. These will help maintain data integrity without expanding the in-house QA team.