cover of episode Best of 2024: Data Storytelling and Visualization with Lea Pica from Present Beyond Measure

Best of 2024: Data Storytelling and Visualization with Lea Pica from Present Beyond Measure

2024/12/19
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DataFramed

People
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Lea Pica
R
Richie Cotton
Topics
Lea Pica: 本书的核心观点是,有效的数据故事讲述需要将数据分析结果转化为引人入胜的叙事,从而提升受众的理解和参与度。这需要深入了解受众,根据受众的专业知识水平调整沟通策略,并运用好莱坞叙事技巧,例如冲突、高潮等,来增强故事的吸引力。此外,还需要注意控制信息量,避免认知超载,并使用合适的可视化工具,例如图表和图像,来辅助故事讲述。 在与不同类型受众沟通时,需要采用不同的策略。对于决策者,需要重点突出他们最关心的利益,并以简洁明了的方式呈现数据;对于技术人员,则需要提供更详细的数据分析和方法论;对于其他类型的受众,则需要根据他们的专业知识水平和兴趣点调整沟通方式。 在数据可视化方面,本书强调了简洁性和清晰性,避免使用过多的图表和装饰元素,并选择合适的图表类型来呈现数据。此外,本书还建议使用真实图像、图标和截图来增强情感联系,并使演示更具吸引力。 在演讲技巧方面,本书建议通过录音和反复聆听来改进演讲中的不足之处,例如单调的语调和语速。此外,还可以通过阅读儿童故事来练习语音表达,并学习如何运用好莱坞叙事技巧来提升演讲的吸引力。 Richie Cotton: 数据分析师和数据科学家需要具备良好的沟通能力,能够将分析结果转化为受众能够理解的叙事。这需要掌握数据故事讲述的技巧,并根据受众的专业知识水平调整沟通策略。 在数据可视化方面,条形图和折线图是商业分析中最常用的图表类型,选择合适的图表类型可以有效地呈现数据。此外,还需要注意控制信息量,避免认知超载,并使用合适的可视化工具来辅助故事讲述。 在演讲技巧方面,需要注意避免单调乏味的语气,并运用一些技巧来保持受众的注意力,例如使用动画、视觉变化和幽默等。 在使用AI工具辅助数据故事讲述时,需要谨慎使用,并进行人工检查和调整,以确保数据的准确性和可靠性。此外,还需要注意道德问题,例如是否需要披露AI工具的使用情况。

Deep Dive

Key Insights

Why is communication the most desired soft skill for data analysts and data scientists?

Communication is crucial because it enables data practitioners to turn the results of an analysis into a narrative that the audience can understand, making it easier to have an impact and inspire action based on the data.

How can data storytelling be enhanced by using conflict and high stakes?

By finding a conflict or a high-stakes situation, you can captivate your audience and make your data story more memorable. The conflict should highlight what is standing in the way of stakeholders reaching their goals, emphasizing the urgency and importance of the data insights.

What is the stakeholder savvy quadrant and how does it help in data storytelling?

The stakeholder savvy quadrant helps prioritize different groups in the audience, such as decision makers, systems enablers, and technical experts. It ensures you tailor your presentation to the needs and expectations of each group, making your insights more relevant and actionable.

Why is it important to limit the number of key points in a presentation?

The human brain can only hold 3 to 6 chunks of information in working memory. Limiting key points helps the audience remember and take action on the most important information, rather than being overwhelmed and forgetting everything.

What are the most common types of plots used in business presentations?

The most common types of plots are bar charts, pie charts, and line charts, in that order. Line charts are particularly useful for showing trends over time, while bar charts are good for aggregate information.

How can imagery beyond data visualizations improve a presentation?

Using real-life imagery, such as photographs or customer avatars, can increase engagement and create a more emotional connection with the audience. Iconography and screenshots of relevant situations or tools can also help reinforce the visual absorption of the content.

What are some ethical considerations when using AI to generate content for presentations?

While AI can be a helpful tool for generating content, it's important to disclose its use and ensure the final content is reviewed and accurate. AI-generated content should be seen as an assistant, not an expert, and used to enhance, not replace, human creativity and control.

What is the through line in a data presentation and how does it help?

The through line is a single sentence that summarizes the entire presentation. It acts as a North Star, helping to focus the content and keep the audience engaged by clearly outlining the problem, the conflict, and the solution.

How can you improve your speaking skills to avoid monotony in presentations?

Record yourself presenting and listen for patterns that make you sound monotonous. Reading children's bedtime stories can help bring variation to your cadence and make your speech more engaging. Dr. Seuss is particularly useful for improving diction and adding humor.

What is the best advice for someone starting their first business presentation?

Think hard about who you are speaking to and what they care about. Tailor your presentation to their needs and interests, and avoid talking to an audience of yourself. Make it about them, not about you.

Chapters
This chapter explores the crucial role of conflict and high stakes in creating engaging data stories. It emphasizes understanding your audience's needs and tailoring your narrative to resonate with their priorities. The concept of a stakeholder savvy quadrant is introduced to help prioritize different audience types.
  • Effective data stories need conflict, showing what prevents stakeholders from achieving success.
  • Understanding audience savvy is key to tailoring your story.
  • Data presentations should be treated like sales pitches to decision-makers.

Shownotes Transcript

As we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy!

The four guests we'll be recapping with are:

  • Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover the full picture of data presentation, how to understand your audience, how to leverage hollywood storytelling and more. Out December 19.
  • Alex Banks - Founder of Sunday Signal. Adel and Alex cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and more. Out December 23.
  • Don Chamberlin - The renowned co-inventor of SQL. Richie and Don explore the early development of SQL, how it became standardized, the future of SQL through NoSQL and SQL++ and more. Out December 26.
  • Tom Tunguz - general Partner at Theory Ventures, a $235m VC firm. Richie and Tom explore trends in generative AI, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, AI in the corporate sector and more. Out December 30.

Your data project doesn't end once you have results. In order to have impact, you need to communicate those results to others. Presentations filled with endless tables and technical jargon can easily become tedious, leading your audience to lose interest or misunderstand your point.

Data storytelling provides a solution to this: by creating a narrative around your results you can increase engagement and understanding from your audience. This is an art, and there are so many factors that contribute to visualizing data and creating a compelling story, it can be overwhelming. However, with the right approach, creating data stories can become second nature. In this special episode of DataFramed, we join forces with the Present Beyond Measure podcast to glean the best data presentation practices from one of the leading voices in the space.

Lea Pica host of the Founder and Host of the Present Beyond Measure podcast and is a seasoned digital analytics practitioner, social media marketer and blogger with over 11 years of experience building search marketing and digital analytics practices for companies like Scholastic, Victoria’s Secret and Prudential.

Present Beyond Measure’s mission is to bring their teachings to the digital marketing and web analytics communities, and empower anyone responsible for presenting data to an audience.

In the full episode, Richie and Lea cover the full picture of data presentation, how to understand your audience, leverage hollywood storytelling, data storyboarding and visualization, the use of imagery in presentations, cognitive load management, the use of throughlines in presentations, how to improve your speaking and engagement skills, data visualization techniques in business setting and much more. 

Links Mentioned in the Show:

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