First, prioritize data verification. Implement rigorous checks and balances throughout your workflow to ensure data accuracy. This could involve cross-referencing information, using data validation tools, or conducting regular audits. Second, foster a culture of data quality within your team. Encourage colleagues to be vigilant about data accuracy and to report any inconsistencies or errors promptly. Provide training and resources to help team members understand the importance of data quality and how to maintain it. Finally, leverage technology to enhance data accuracy. Consider using data cleansing tools, automation software, or artificial intelligence to identify and correct errors efficiently.

make a todo list step by step that must be done. make sure the database is correct, and start working straight away, don't delay, then every few steps take a short break, go outside and look at the distant view, then go back to work, double check the previous results and continue to the next step. do it in stages, in the final step do a cross check with our partner or other team members.