Here's how you can effectively communicate your insights as a data miner using storytelling techniques.

You need to understand the business side of things too! As a Data Miner, you can pull a lot of data, but data alone isn’t useful. Only when you apply your business knowledge does the data turn into reliable information you can use to make decisions. A classic mistake in data mining without business understanding is mixing up causality and correlation.

Effectively communicating data mining insights through storytelling involves crafting a compelling narrative that connects data to real-world implications. Start with a clear context to engage the audience, followed by highlighting the problem or question addressed. Present key findings using visual aids for clarity, ensuring the story flows logically. Use relatable examples and anecdotes to humanize the data, emphasizing the impact and potential actions. Conclude with a call to action or future outlook, ensuring the audience understands the relevance and importance of the insights. This approach makes complex data accessible and memorable, driving informed decision-making.

Learn the fundamentals of storytelling! Humans developed the art of telling interesting and fascinating stories over thousands of years and if you apply those rules to the results of your analysis, the success is granted.

Choose carefully what viz you want to use and what is your audience. Tables are good for details, but it takes time to process all the information. Graphs are far better for a quick understanding, but they don't show all the details, so focus on the important message. For a presentation with a live audience in a presentation room I would always chose a good viz over a detailled table.

Remember you first holiday with your loved one? Once emotions are involved, people will always remember information a lot better. Loading your results with emotions is a great way to make sure, your insights and results stick with the audience. But be careful: disappointment and anger are also strong emotions, but you don't want to connect them to your presentation!

Data mining process is complex. Uses most likely won't comprehend the process and as a result they don't trust the outcome generated. As a data mining engineer, it is part of your job to explain the process in a most simple to understand way to the users, remove the technical terms, use business logics and processes to explain the process. Comparing actual values with tested predicted results can be also part of this simplified explanation process which can help users to understand

That's the real art - convey complex messages in a simple way. Be bold, most people don't need every detail in depth to understand your message!