There are 5 solid and reliable data presentation methods: textual, statistical data presentation, measures of dispersion, tabular, and graphical data representation. Graphs and charts can be effective tools for displaying data and communicating significance visually. Visual elements can also help make presentations more engaging and useful for viewers. Data Storytelling Techniques: The 4 Steps. Good stories contain four main elements: characters, setting, conflict, and resolution. In order to make a good data story, you can use these elements to frame the complex information into compelling visualizations. Four Elements of Data: Volume, velocity, variety, and veracity.

When clients favor intuition over data, I respect their instincts but emphasize the value of data-driven insights for informed decision-making. I start by acknowledging their perspective, building trust, and showing that data can complement their intuition rather than replace it. I present relevant data in a simplified, relatable way—using visualizations or real-world examples that align with their experiences. By demonstrating how data can reduce risk, validate assumptions, or uncover hidden opportunities, I gently guide them towards balanced decision-making. Collaboration and compromise are key, ensuring their input remains central while introducing data as a tool to strengthen outcomes.

Intuition has its place, but data provides the compass. Navigating this tension with clients involves respecting their instincts while presenting data as a tool to enhance those insights. I often frame data as validating or refining their perspectives, guiding them gently to see numbers not as a challenge but as a partner in decision-making.

When clients lean on intuition over data, I respect their instincts but work to show them how data can support and enhance their decisions. I start by presenting the data in a way that aligns with their goals, highlighting patterns or insights that validate their instincts. I emphasize how a data-driven approach can reduce risks and provide a clearer picture for long-term planning. For example, in a recent project, a client was hesitant about changing workflows based on data. By illustrating how the data complemented their initial thoughts, they became more open to using it in their decision-making process.