Addressing conflicting data interpretations requires a strategic approach to ensure client satisfaction. Here's how to tackle the issue effectively:

• Engage in open dialogue: Discuss the conflicting interpretations with your client to understand their perspective and concerns.

• Present clear evidence: Use visual aids like charts and graphs to clarify your data interpretation and support your conclusions.

• Seek a middle ground: Propose a compromise or alternative analysis that addresses the client's expectations while maintaining data integrity.

What strategies have you found effective in resolving data conflicts with clients?