Final answer:
The first task is to check the data sources for discrepancies. If no errors are found, continue by double-checking calculations and reviewing the data analysis process. Finally, inform the team if issues persist.
Step-by-step explanation:
When you discover that the numbers for your data project do not align with the team's expectations, the first thing on your task list should be to check the data sources for any discrepancies. This initial step involves verifying the accuracy of the data you have collected. Make sure the data is up-to-date, sourced correctly, and that there have been no errors in data entry. Once you have confirmed the data sources are accurate, you should then proceed to double-check the calculations to ensure there hasn't been any mathematical errors. If the numbers still don't add up, it's time to review the data analysis process for any methodological errors. After these thorough checks, if the issue persists, it's important to inform the team about the inconsistencies you've encountered, opening up the floor for collaborative troubleshooting and correction of the problem.