You're presenting data in a high-stakes project. How do you handle discrepancies effectively?
When presenting data in a high-stakes project, encountering discrepancies can be nerve-wracking. Yet, handling them efficiently is key to maintaining your credibility. Here’s how to address these discrepancies:
How do you handle data discrepancies in your projects?
You're presenting data in a high-stakes project. How do you handle discrepancies effectively?
When presenting data in a high-stakes project, encountering discrepancies can be nerve-wracking. Yet, handling them efficiently is key to maintaining your credibility. Here’s how to address these discrepancies:
How do you handle data discrepancies in your projects?
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To handle discrepancies effectively, you need to first ensure that your data sources are reliable and has credibility. This is so that you would be certain that the data presented would be accurate. You should also practice open communication with all stakeholders involved. This is to give them a chance to voice their worries on the discrepancies of the data. You must make sure that you have backup plan. This is so that if the data from the first source is unacceptable, you could still use data from the second source.
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