Understand their Needs: Start by engaging them in a brief discussion to understand their pain points and project goals, highlighting how data mining can directly benefit these. Show Quick Wins: Use small, tangible examples or pilot projects to demonstrate how insights from data mining can solve specific challenges they care about. Simplify Communication: Present data insights in clear, visual formats that are easy to understand, avoiding technical jargon. Involve them Strategically: Encourage their input on critical decisions, so they feel invested without being overwhelmed by details. Provide Regular Updates: Offer concise, periodic updates showcasing progress and impact to maintain their interest and alignment with project outcomes.

It's so important to focus on data monetization process, define use case accordingly to business main objectives, have a clear data strategy, develop digital and data mindset, identify key process to change and experiment to estimate business impact before implement. Beside all this process there are data mining techniques to find insights and take better decisions.

The key is to understand the problem and concerns while reiterating how the data mining project aligns with their goals and broader business objectives, using real-world examples. Highlight how value has already been added or can be realized soon. Foster a sense of ownership in the stakeholder, provide regular updates, and seek continuous feedback. Adjust the strategy to meet their specific needs and expectations, driving the project to success.