2024 Recap: Data Storytelling and Visualization with Lea Pica from Present Beyond Measure
DataFramed
Deep Dive
Why is communication considered the most desired soft skill for data analysts and data scientists?
Communication is crucial for turning analysis results into a narrative that audiences can understand, whether the audience is a boss, other data scientists, or the general public. It ensures that the impact of the analysis is effectively conveyed.
What is the stakeholder savvy quadrant and how does it help in data storytelling?
The stakeholder savvy quadrant helps presenters tailor their stories based on the audience's level of data expertise. It prioritizes decision-makers, who are typically executives, and suggests different approaches for systems enablers, data technicians, and other groups, ensuring the message resonates with each audience type.
How can Hollywood storytelling techniques be applied to data presentations?
Hollywood storytelling techniques, such as creating a narrative arc with a conflict and a climax, can be applied by identifying a business problem as the 'villain' and framing the presentation around overcoming this obstacle. This approach adds drama and stakes to the data story, making it more engaging.
What are the two most common types of plots used in business analytics?
The two most common types of plots used in business analytics are bar plots and line plots. Line plots are particularly popular for tracking performance metrics over time, while bar plots are often used for aggregate information.
How can images be used effectively in data presentations?
Images can be used to create empathy and emotional connections with the audience. For example, using real-life photos of customers or situations can help the audience relate to the data. Iconography and screenshots of websites or ads can also be effective in reinforcing the message.
What is the through line in a presentation and why is it important?
The through line is a single sentence that summarizes the entire presentation. It serves as a guiding principle, helping the presenter stay focused and ensuring that each slide supports the overall narrative. It helps the audience remember the key takeaway and keeps the presentation cohesive.
What advice does Lea Pica give for improving speaking skills in presentations?
Lea Pica suggests recording oneself and listening for patterns that may disengage the audience, such as monotone or uptalk. She also recommends reading children's bedtime stories to practice animated and varied speech, which can help improve diction and storytelling mechanics.
How can AI be used effectively in creating presentations?
AI can be used for idea generation and outlining presentations, particularly in creating customer avatars or summarizing historical information. However, it should be used as an assistant, not an expert, and the final content should be reviewed and edited by a human to ensure accuracy and relevance.
What is the cognitive load theory and how does it apply to data presentations?
Cognitive load theory suggests that the human brain can only hold a limited amount of information in working memory, typically three to five main ideas. In data presentations, this means keeping slides simple and focused on one major idea to avoid overwhelming the audience and ensure they retain the key points.
What is the best way to start learning data storytelling?
Lea Pica recommends starting with her book, 'Present Beyond Measure,' which covers everything from understanding the audience to becoming a confident speaker. It provides a comprehensive guide for beginners in data storytelling, distilling essential knowledge from various sources.
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