Unlocking the secrets of information storytelling in 2021

30-second summary:

  • Data storytelling is the process of combining graphics plus narratives to help audiences realize complex data
  • There are 8 types of graphs and graphs that marketers can use to inform data stories
  • This guide will help you understand why data storytelling is essential and what best practices you should adhere to

We’re seeing the growing importance of storytelling with data in 2021—primarily because of the amount of data being shared with audiences over the past 12 months.

But data needs to make sense to people if it’s in order to lead to better engagement and increased conversions. That’s exactly where visualization comes in.

According to Venngage’s recent study , data storytelling has become a popular device in an organization’s arsenal, with 48 percent of internet marketers creating data visualizations weekly.

Source: Venngage

In this post, we will share why businesses are turning to data storytelling to tell their brand stories and also to capture the imagination of the customers.

Why is storytelling with information important?

Data-driven storytelling combines information and graphics to tell a compelling story. It also provides the data more context therefore audiences can understand it better.

The visual representation of data lies can show readers patterns and connections they may not have deduced by themselves.

That’s what makes them this kind of necessary tool in a small business’ arsenal—data graphics can help businesses track their performance and place goals.

Kinds of data visualizations meant for storytelling

There are numerous visual tools open to render data—they highlight precisely why data visualization is important.

Some of the kinds of data visualizations just for storytelling include:

  • Pub Graphs
  • Bubble Charts
  • Histograms
  • Infographics
  • Line Charts
  • Maps
  • Pie Charts
  • Scatter And building plots

Each visualization technique serves a purpose. Bar graphs and charts are ideal for creating comparisons, whereas line charts show linear relationships.

Roadmaps show geographical data, like this example about the languages of the world.

Languages in the world

Source

Pie charts reveal data according to set groups, while scatter plots show relationships between multiple factors.

To understand which charts plus graphs to use to tell your data story, you can refer to the below infographic.

Infographic chart on data storytelling

Source: Venngage

Five advantages of data storytelling

What advantages can businesses anticipate when storytelling through information?

These are the questions that marketers and designers inquire themselves before undertaking such a design-heavy project.

But there are many uses for data visuals that make them worth trading time and effort into.

1 . Provides deeper analysis into information

If you consider the types of visualizations described over, you can see how they provide higher insight into information.

A textual content post or report can do the same work but will need much more labor from the reader—increasing the chances of them leaving your page for shorter content .

The graphic, on the other hand, tells you the same information in a much shorter time. This improves engagement rates and sales.

Visuals can also convey patterns easily allowing the reader to analyze information quickly by connecting the dots themselves.

2 . Promotes problem-solving

Data stories are short and snappy materials that boost the problem-solving process and improve efficiency .

The reason being decision-makers don’t have to read reams of text or sift through information on their own—the graphics do the work for them and speed up problem-solving.

3. Engages internal and external audiences

Content marketing is geared toward wedding —and that’s why strong visuals that catch the eye are so essential.

Visuals are more attractive compared to blocks of text—and data graphics that are well-made a lot more so than others.

This is because a data story is definitely compelling in itself—numbers, proportions, relationships, and connections are all reasons for a reader to stop what they’re doing and appear at your graphic.

As a result, a person increase traffic and views to your content and your site, all while promoting a favorable impression of your brand.

4. Improves reporting abilities

Reports are part and parcel of company life. A great data story is key to a memorable plus powerful analysis, like this simple but elegant finance infographic template .

Data storytelling improves reporting capabilities

Source: Venngage

There is so much data involved in producing reports—if they are articulated via numbers and tables, your audience will be lost, plus worse, bored.

That is why great data storytelling is so essential in report-making, not just to keep people interested but to inform a good story.

5. Wide reach

Graphics can be repurposed in multiple ways and for a variety of channels. Social media platforms like Twitter, which are chockful of information, need a strong visual to get interest.

That attention can be generated through data storytelling. Bite-sized visuals arrest the viewer as they’re scrolling by means of their feed—they’re also simple to absorb and more shareable.

Visualized data makes for great content material whether for social channels, ezines , blog posts, or website landing pages.

An excellent graphic has the potential to go viral, widening the achieve of your content and influence.

Information storytelling best practices

Paying heed to the importance of visualizing data means following a few best practices. You can not create visuals without having a goal.

You also need to understand the material and the needs of your audience so your data tells the story you want it to plus engages your readers.

Listed here are the six best practices for creating visualizations that will boost consumer retention .

Make visual hierarchies

Hierarchies are necessary for people to read and interpret your computer data. Visual hierarchies are a essential component of data storytelling because they help readers create context and patterns.

Since you don’t want to write too much text to explain your graphic, hierarchies are the best way to convey context. Here are the best ways to build visual hierarchies and context:

  • Placement of elements from top to bottom
  • Arranged elements
  • Varying colors
  • Diverse visual styles
  • Increasing typeface sizes

Users can deduce the relationship between data and elements using the over methods.

Build trust into data visuals

The benefits of visualization are completely lost if you can’t elicit trust in the people viewing your information.

When we put statistics jointly for studies at Venngage, we survey hundreds, otherwise thousands, of respondents prior to starting the design process.

This is necessary to avoid cherry-picking data, which may be misleading, as this graph displays, and accidentally designing bad infographics .

Build trust with data storytelling

Source: Venngage

It is usually best to compile data through trusted sources that are unbiased. Verify that data with at least two other sources which means you know that the data is associated with the information.

Only then should you move into the design phase. When making your visuals, avoid distortion as much as possible by following these methods:

  • Choose charts and graphs that suit your computer data
  • Your visual should include a scale to give context towards the data
  • Baselines for data should always start at zero
  • Each axes should appear in the particular graphic and be equal in dimensions
  • Use all relevant information in the visual; don’t depart important data out

Size plays a major factor in trust-building—use similar-sized visual components, like icons, that can be scaled on a graph.

Show modifications in data through size and space but each should be equal between most of visual elements.

Keep visualizations basic

Tugging together data requires a great deal of time and energy. It can be tempting to design visuals that express as much details as possible.

But that attitude can negate the effectiveness of aesthetically representing data, and overwhelm your audience.

Visualizations needs to be simple and easy to understand—not just is this a brand style trend in 2021, however it keeps readers more engaged, like this chart we developed.

Keep visuals simple

Source: Venngage

Whilst a complex visualization might look sophisticated and fascinating, if your audience spends too much time trying to understand it, they are going to eventually give up plus move on.

A badly-designed image, like the one below, will even give readers a negative impact of your brand and product, losing you more potential customers.

Bad example

Source

Data graphics should be simple enough to understand at a glance—that’s at all times you have to get users’ interest.

Do not overuse text

If your data tale needs more text to understand it, the visual isn’t well-designed. While there must be some text in the visual, it shouldn’t dominate the.

You can always write a blog or social media post around your findings, but your readers shouldn’t be lost without the context.

The benefits of data-driven storytelling lie in the fact that your info can be communicated through the visible medium.

If you’re relying on text to do all the talking, your graphic is lacking. Make use of graphic elements like symbols and shapes, and crack your data down into bite-sized portions so it’s easy to convey.

Make use of colors wisely in visualizations

Colours have a lot to do with the significance of data visualization storytelling—they can be used to highlight key information inside a graphic and augment the data story you are trying to inform.

But that doesn’t imply you use all the colors in the palette in your graphic. Once again, too many colors, like too much information, can overwhelm the audience.

On the flip side, by using not enough colors, you can mistakenly develop connections between data that aren’t correct.

Use your brand colors in your visualizations, plus augment them with two or three shades. Try not to exceed five shades or five hues of the single color.

If you’re thinking what kinds of colors work together, you can use this list to choose colour combinations.

Use muted shades in your graphics, instead of bold ones, as that is what is on-trend at the moment and will create your visuals more highly relevant to audiences.

Highlight data in visuals

Just as much as you want users to understand the data as you present it for them in a visual, you aim to capture their attention as quickly as possible.

Even the simplest visuals require some highlights to draw the eye and it’s a terrific way to maintain the integrity of your information story.

Use a highlight colour to make relevant data stick out or increase the font dimension or icon size to complete the same.

By spotlighting the most important information, you will be more successful in attracting attention to your visible and telling your data tale.

Businesses can leverage the importance of information storytelling

We’ve highlighted how information storytelling can make a difference within business growth in 2021.

Graphics share insights plus correlations that audiences may have overlooked, while still becoming compelling tools that indulge and convert customers.

Ronita Mohan is a content marketer in the online infographic and style platform, Venngage . Ronita regularly writes about marketing and advertising, design, and small businesses.

The post Unlocking the secrets of information storytelling in 2021 appeared first on Search Engine Watch .

Source: searchenginewatch. com

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