登录查看更多内容

How can you simplify data insights and recommendations?

由人工智能和领英社区提供技术支持

Data science is not only about analyzing data, but also about communicating the results and implications to stakeholders. However, presenting complex data insights and recommendations can be challenging, especially when you have to deal with different audiences, formats, and goals. How can you simplify data insights and recommendations without losing accuracy and clarity? Here are some tips to help you improve your data communication skills.

此文章中的业界达人

由社区从 4 条内容中精选。了解更多

Ronald Cruz

Decision Science | Business Intelligence | Google Cloud Innovator

1 Know your audience

Before you start preparing your data insights and recommendations, you need to understand who your audience is, what they care about, and what they expect from you. Different audiences may have different levels of technical expertise, backgrounds, interests, and objectives. For example, a business manager may want to see the bottom-line impact of your analysis, while a data engineer may want to see the details of your methodology and code. Therefore, you need to tailor your message, language, and visuals to suit your audience's needs and preferences.

添加您的观点

Ronald Cruz

Decision Science | Business Intelligence | Google Cloud Innovator
举报内容
Use Clear and Simple Language Avoid jargon and technical terms that might confuse your audience. Explain complex concepts using plain language and provide definitions for any specialized terms you do use. Tell a Story Structure your insights and recommendations as a narrative. Start with the problem or question you're addressing, walk through your analysis, and conclude with actionable recommendations. Limit the Number of Visuals Don't overwhelm your audience with too many visuals. Focus on the most relevant and impactful visuals that support your key insights. Avoid Overloading with Data While it's important to provide evidence for your insights, avoid overwhelming your audience with excessive data points.

已翻译

赞

2 Choose the right format

Depending on your audience and purpose, you may have to present your data insights and recommendations in different formats, such as reports, dashboards, slides, or videos. Each format has its own advantages and limitations, so you need to choose the one that best fits your situation. For example, a report may allow you to provide more details and explanations, but it may also require more time and effort to write and read. A dashboard may allow you to display interactive and dynamic data, but it may also require more technical skills and tools to create and maintain. A slide may allow you to highlight the key points and visuals, but it may also require more creativity and storytelling skills to engage and persuade your audience. A video may allow you to demonstrate and narrate your data insights and recommendations, but it may also require more equipment and editing skills to produce and share.

添加您的观点

Dr Andrea Isoni

PhD,Chief AI Officer, AI speaker
举报内容
Right format, means to answer this question: is the recommandations 'actionable'? Yes/No. If no iterate until it is yes. Of course some recommendations are negative so 'doing nothing' is actually actionable. To simplify data insights, the task is a bit different. Assuming you know the business, I would follow the following structure: -insights that confirm already known knowledge -insights contrarian to the known knowledge -insights still ambiguous

已翻译

赞

3 Simplify your message

Once you have decided on your format, you need to simplify your message and focus on the most important and relevant data insights and recommendations. You don't want to overwhelm or confuse your audience with too much or too complex information, so you need to filter out the noise and prioritize the signal. A good way to do this is to use the SMART framework: Specific, Measurable, Actionable, Relevant, and Time-bound. This means that you should state your data insights and recommendations clearly and concisely, quantify them with metrics and benchmarks, link them to specific actions and outcomes, align them with your audience's goals and interests, and set a timeline and scope for implementation and evaluation.

添加您的观点

4 Visualize your data

Another way to simplify your data insights and recommendations is to use visual aids, such as charts, graphs, tables, or images. Visuals can help you convey your message more effectively and efficiently, as they can capture attention, illustrate patterns and trends, compare and contrast data, and emphasize key points. However, not all visuals are created equal, so you need to choose the right type, design, and layout for your data and message. Some general principles to follow are: use simple and consistent colors, fonts, and symbols; avoid clutter and unnecessary elements; label and annotate your visuals clearly; and use appropriate scales, axes, and legends.

添加您的观点

5 Explain your data

Finally, you need to explain your data insights and recommendations in a way that your audience can understand and trust. This means that you should provide context, background, and rationale for your data and message, as well as acknowledge the limitations, assumptions, and uncertainties of your analysis. You should also use plain and precise language, avoid jargon and acronyms, and define any technical terms or concepts. Moreover, you should use examples, analogies, and stories to illustrate and relate your data insights and recommendations to your audience's experience and situation.

添加您的观点

Ronald Cruz

Decision Science | Business Intelligence | Google Cloud Innovator
举报内容
Provide Context Explain the context in which the data insights are relevant. This helps your audience understand why the findings are significant and how they fit into the bigger picture. Offer Multiple Levels of Detail Provide a summary of insights for those who want a high-level overview, and offer deeper explanations for those who seek more detailed information. Address Potential Questions Anticipate questions your audience might have and proactively address them in your presentation. This demonstrates thoroughness and can prevent confusion.

已翻译

赞

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Ronald Cruz

Decision Science | Business Intelligence | Google Cloud Innovator
举报内容
Iterate and Get Feedback Test your communication with colleagues or friends who aren't familiar with the topic. Their feedback can help you refine your approach and make it more understandable. Remember that the goal is to convey the essence of your analysis and recommendations in a way that resonates with your audience's interests and knowledge level. Tailoring your communication to your audience's needs is key to effective data communication.

已翻译

赞

Data Science

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

How can you simplify data insights and recommendations?

1

2

3

4

5

6

1 Know your audience

2 Choose the right format

3 Simplify your message

4 Visualize your data

5 Explain your data

6 Here’s what else to consider

Data Science

给文章评分

感谢您的反馈

更多Data Science相关文章

更多相关阅读内容

How can you simplify data insights and recommendations?

1

2

3

4

5

6

1 Know your audience

2 Choose the right format

3 Simplify your message

4 Visualize your data

5 Explain your data

6 Here’s what else to consider

Data Science

给文章评分

感谢您的反馈

查看其他技能