What is flawed data?

Flawed data refers to information that is inaccurate, incomplete, inconsistent, or biased, which can lead to incorrect conclusions or decisions. Common sources of flawed data include human error, outdated information, and poor data collection methods. The presence of flawed data can undermine research findings, analytics, and decision-making processes, highlighting the importance of data validation and quality assurance. Ensuring data integrity is essential for reliable outcomes in any analysis or application.