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How can you use data visualization to effectively communicate complex information to stakeholders?

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Data visualization is the art and science of transforming complex information into clear and engaging visuals. It can help you communicate your insights, findings, and recommendations to your stakeholders in a way that is easy to understand and remember. But how can you use data visualization effectively in your creative problem-solving process? Here are some tips and best practices to guide you.

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Raghavshyam (Shaam) Ramamurthy

Analytics Translator and Visiting faculty
Onyinyechi Ihuoma

Financial Analyst || Banking || International Trade || Business Development || Operational Efficiency || Credits &…

1 Know your audience

Before you create any data visualization, you need to know who your audience is, what they care about, and what they need to know. Different stakeholders may have different levels of familiarity with the data, different expectations and preferences, and different goals and actions. You need to tailor your data visualization to suit your audience's needs and interests, and avoid overwhelming or confusing them with irrelevant or excessive information.

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2 Choose the right format

There are many types of data visualization, such as charts, graphs, maps, tables, dashboards, infographics, and more. Each one has its own strengths and weaknesses, and can convey different messages and stories. You need to choose the right format for your data, depending on what you want to show and emphasize. For example, if you want to compare values or trends, you may use a bar chart or a line chart. If you want to show spatial or geographic data, you may use a map or a heat map. If you want to show a process or a flow, you may use a diagram or a flowchart.

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Onyinyechi Ihuoma

Financial Analyst || Banking || International Trade || Business Development || Operational Efficiency || Credits & Investments || Risks Management || Customer Service
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It is important to choose the right type of visualization that will best communicate the information you want to convey. For instance, in the financial industry where values are measured in numbers, charts and graphs are commonly used to measure market trends-growth fluctuations, while dashboards record the key performance indicators (KPIs) of contributing agents within a financial cycle. With clear eye-catching labels, this method remains one of the simplest and comprehensive way to present a summary of series of complex trends and inputs that determine a result. It can be captured as pictures with appealing colors and is easily understood by stakeholders.

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3 Use design principles

Data visualization is not only about presenting data, but also about making it attractive and appealing. To do this effectively, you need to employ design principles to enhance the clarity, readability, and aesthetics of your data visualization. Colors, shapes, and sizes should be used to highlight and differentiate data points, categories, and patterns. Additionally, labels, titles, legends, and annotations should be used to explain and contextualize your data. Consistent and appropriate fonts, scales, and alignments should also be used to ensure harmony and balance. Furthermore, white space and grids should be used to organize and structure your data. Finally, it’s essential to avoid clutter, noise, or distortion that may distract or mislead your audience.

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4 Test and refine

Data visualization is not a one-time activity, but a continuous process of testing and refining. You need to check your data visualization for accuracy, completeness, and relevance, and make sure it delivers the intended message and story. You also need to solicit feedback from your audience, peers, or experts, and see how they interpret and react to your data visualization. You may need to make adjustments or improvements based on their input and suggestions.

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5 Tell a story

Data visualization is not only about showing data, but also about telling a story. You need to use data visualization as a tool to communicate your problem, solution, and impact in a compelling and persuasive way. You need to craft a narrative that connects your data to your audience's emotions, values, and motivations. You need to use data visualization as a means to inspire, inform, or influence your audience to take action or make a decision.

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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?

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Raghavshyam (Shaam) Ramamurthy

Analytics Translator and Visiting faculty
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Most data visualizations fail because the visual is too complex or the story point is too general. A good story is often very specific. The audience should walk away with actionable insights after interacting with a dashboard or a storyboard. For example, instead of saying the objective of our dashboard is to "Provide a high level overview of Sales". Consider this: "Understand which region did not meet the sales target. Which states/cities to focus on"

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How can you use data visualization to effectively communicate complex information to stakeholders?

1

2

3

4

5

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1 Know your audience

2 Choose the right format

3 Use design principles

4 Test and refine

5 Tell a story

6 Here’s what else to consider

Creative Problem Solving

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How can you use data visualization to effectively communicate complex information to stakeholders?

1

2

3

4

5

6

1 Know your audience

2 Choose the right format

3 Use design principles

4 Test and refine

5 Tell a story

6 Here’s what else to consider

Creative Problem Solving

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