Data bias can significantly undermine trust in data. Leaders should be proactive in identifying and addressing potential biases in their data. This can be achieved by implementing diverse data collection methods, ensuring representation across different demographics, and regularly reviewing and updating data practices. Additionally, using advanced analytics tools that can detect and correct biases can further enhance the reliability of data.