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Data Storytelling and Creating Powerful Visualizations

Storytelling is all about captivating your audience with your data. Learn how to create great visualizations that enable you to have powerful data storytelling.

Why is data storytelling important?

For a long time, people wanted to find a narrative approach that will help them show data insights naturally and at a very professional level. It’s imperative to access data, but it’s just as crucial to communicate insights found in a logical order that is easy to digest by the audience.

This way, you can easily convey the information and acquire insights that will change your business and take it to new heights. It’s especially true during the pandemic era, when understanding data is becoming quite hard to do.
Media companies are focused on data storytelling, making it easy for everyone to identify and understand the impact that the COVID 19 pandemic and lockdowns have at this time. But if these types of companies focus on data storytelling, how can it help us in the future?

Presenting your data in a visually appealing way

All the hard work brought by data analytics and data science can go to waste if you don’t present your data in a very appealing manner. Everyone needs to understand data accordingly and at a professional level, otherwise there can be issues that might arise. In order to capture the customer’s attention, you can use actionable insights as well as progressive reveals.

The way you boost data visualization is you first explain an axis, then add a point and say what it means, after that you can add more data points. When you have multiple points, you start adding colors so you can see the difference. It’s also a good idea to integrate an animation that shows lifetime changes.

It’s a good idea because it helps you start at a low level, zooming, then you can see the entire image. Since you’re adding just a data piece at a time, you get actionable insights and the audience can understand everything as it expands. It’s a great way to introduce any data forecasting this way as well.

The main idea here is to use data storytelling to initiate a conversation about those actionable insights. You can invite people to critique, share their own ideas and ask questions. That’s where this Slow Reveal system works at its strongest.

Using analytics for insights

You should keep in mind the fact that most business intelligence and data analytics tools are not turning people into storytellers. The focus here is to present everyone the AI-acquired data in a way they can understand. It should be a part of the organizational culture. After all, no one can convert all the findings into natural insights without the right communication skills. When the data is not compelling and understood properly, people will not act on that. The main focus here is not on using tools, instead you need to think about sharing data insights.

It’s imperative to use data storytelling as the right means to drive change and inform people simultaneously. Yes, it can be great if you have a lot of data on secure cloud storage, but if you don’t use any of it, then you lose most of its potential*.  Your employees need to know how to use it, how to make the most out of it, and initiate a conversation about it.

With help from data storytelling, you get to transform data into actionable insights and you can have data visualization as well. It’s essential to understand any possible challenges that can appear, and once you start doing that, results can be a whole lot better and more professional. A more comprehensive data culture will help bring in better data storytelling; this will help the company grow, expand and generate more sales in the long run!

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