To address non-accounting stakeholders' concerns about financial data analysis, I would prioritize clarity and relevance. First, I would simplify complex terms into accessible language while maintaining accuracy. Second, I’d focus on connecting the analysis to their goals, such as operational efficiency or profitability. By using visual aids like charts and emphasizing key takeaways, I’d enhance understanding. Finally, I’d ensure transparency by sharing assumptions, methodologies, and how the data aligns with broader business objectives, encouraging constructive dialogue to build trust and alignment.

Most time such things happen because of basic understanding of accounting principles missing. For instance, user may object why fixed assets are on historical cost in books of accounts? If there is clarity of these principles and convention, understanding will be easy.

1. Clarify Your Methodology *Explain the approach *break own the assumptions 2. Simplify Complex Concepts *use Analogies or examples *Visual Aids 3. Address the Data’s Reliability 4. Provide Context for the Interpretation *Link analysis to business goals 5. Anticipate Questions and Objections * Be prepared for skeptism *offer alternative solutions 6. Highlight the Relevance of the Findings 7. Invite Dialogue and Questions 8. Provide Supporting Documentation 9. Remain Calm and Professional