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What are the best ways to show the value of your data visualization work?

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Data visualization is a powerful skill that can help you communicate insights, persuade stakeholders, and showcase your data science projects. But how do you demonstrate the value of your data visualization work to your audience, whether they are clients, managers, or peers? In this article, you will learn some of the best ways to show the value of your data visualization work, from choosing the right tools and formats, to aligning your visuals with your goals and context, to telling a compelling story with your data.

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1 Choose the right tools and formats

The first step to show the value of your data visualization work is to choose the right tools and formats for your data and your audience. Depending on the type, size, and complexity of your data, you may need different tools and formats to create effective and engaging visuals. For example, you may use a spreadsheet program like Excel or Google Sheets to create simple charts and graphs, or a programming language like Python or R to create more advanced and interactive visuals. You may also use a specialized data visualization software like Tableau or Power BI to create dashboards and reports. The key is to choose the tools and formats that suit your data and your audience's needs and preferences.

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Shubham Saboo

LinkedIn Top Voice | AI Product Management at Tenstorrent | 3x Author of AI Books | Microsoft MVP | Community of 100k+ AI Developers
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In my experience, it's a lot like cooking: you wouldn't use a steak knife to peel potatoes, right? Similarly, for a quick glance at monthly sales trends, a simple bar chart in Excel might suffice. But if you're diving deep into user behavior over time, interactive visuals in Tableau or Power BI can give more nuanced insights. It's all about matching the tool to the task and knowing your audience's appetite for details.

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2 Align your visuals with your goals and context

The second step to show the value of your data visualization work is to align your visuals with your goals and context. Depending on the purpose and scope of your data visualization project, you may have different goals and context to consider. For example, you may want to explore your data, explain your findings, or persuade your audience to take action. You may also have to consider the context of your data, such as the source, quality, and relevance of your data, as well as the background, expectations, and interests of your audience. The key is to align your visuals with your goals and context, so that they are clear, accurate, and meaningful.

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3 Tell a compelling story with your data

To show the value of your data visualization, you need to tell a compelling story with your data. It's not just about presenting numbers and facts, but also about connecting with your audience and conveying your message. To do this, you should use storytelling techniques such as defining your main point and key messages, using a narrative structure, adding context and emotion, and using design elements. Colors, shapes, fonts, and other visual elements can help enhance the data and the story. Ultimately, the goal is to make your data engaging, memorable, and persuasive.

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Deepak Chopra

Data Science Addict | currently @ Meta (Facebook) | ex-dunnhumby | ex-Target
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We all love stories. And our business stakeholders are no different. While conveying data based insights, it is very important to ensure that the narrative follows through like a story else it is likely you might lose interest of your stakeholders. - Leverage the different 'tools' at your disposal, like fonts, text-sizes/colours, shapes, icons; to tell your 'story' and get your stakeholder's buy-in.

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4 Use best practices and principles

The fourth step to show the value of your data visualization work is to use best practices and principles. Data visualization is both an art and a science, and there are some general rules and guidelines that can help you create effective and appealing visuals. It's important to use the right chart type for your data, as different chart types have different strengths and weaknesses. Furthermore, use appropriate scales and axes, as they can affect how your data is perceived and interpreted. Labels and legends should also be used to help your audience understand what your data means and how to read your visuals. Colors and contrasts can help you highlight, differentiate, and group your data, as well as create visual hierarchy and balance - while minimalism and simplicity can help you avoid clutter, noise, and distraction. Ultimately, the key is to use best practices and principles so that your visuals are easy, accurate, and appealing to read.

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Neema Madayi Veetil

LinkedIn Top Voice 2024 - Data Scientist | Analytics | Podcast Host ??| Driving Business Growth with Data | AI & ML | Python & SQL??
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1. Another very important point is to keep visualizations simple and easy to understand. Avoid cluttered visuals and unnecessary complexity. Following this simple tip can help us to draw the attention of the stakeholders relatively easy. 2. Additionally, use visualizations to showcase comparisons and contrasts, making it easier for viewers to draw conclusions. For eg, a pre vs post visual effect of a campaign effectiveness.

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5 Test and refine your visuals

The fifth step to demonstrate the worth of your data visualization work is to test and refine your visuals. Data visualization is a cyclic process, and you should always examine and modify your visuals before displaying them to your audience. Testing and refining your visuals can help you verify for mistakes and discrepancies, solicit feedback and recommendations, as well as enhance your visuals and story. The significance lies in testing and refining your visuals, so that they are polished, efficient, and prepared for presentation.

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6 Share and present your visuals

The sixth and final step to demonstrate the value of your data visualization work is to share and present your visuals. Doing so is the ultimate way to show the value of your work, as it allows you to communicate your data and story to your audience. You can use various methods and platforms for sharing and presenting, such as online websites, blogs, social media, or online portfolios. You can also include visuals in reports and documents with formats like PDF, Word, or PowerPoint. Additionally, you can present visuals during presentations and meetings with slides, posters, or screens. The key is to ensure that your visuals are visible, accessible, and impactful for your audience.

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7 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?

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What are the best ways to show the value of your data visualization work?

1

2

3

4

5

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7

1 Choose the right tools and formats

2 Align your visuals with your goals and context

3 Tell a compelling story with your data

4 Use best practices and principles

5 Test and refine your visuals

6 Share and present your visuals

7 Here’s what else to consider

Data Science

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What are the best ways to show the value of your data visualization work?

1

2

3

4

5

6

7

1 Choose the right tools and formats

2 Align your visuals with your goals and context

3 Tell a compelling story with your data

4 Use best practices and principles

5 Test and refine your visuals

6 Share and present your visuals

7 Here’s what else to consider

Data Science

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