What Is Data Storytelling And How Does One Master It?

When you hear the term “data analysis,” what pictures come to mind? Most likely, you immediately thought about hard skills like utilising spreadsheets, employing algorithms, and doing arithmetic calculations. Hard abilities, however, are useless without their soft-skill companions. To effectively communicate the tale that the data tells, one must master the art of data storytelling. It is not sufficient to merely analyse data.

The US Bureau of Labour, Statistics projects that between 2020 and 2030, demand for research analysts would increase by 25%, growing substantially more quickly than the average for all industries. Many companies have begun requiring data storytelling in analyst job descriptions, while others have chosen to fill data storyteller positions to bolster the skills of their current analytics teams. You can distinguish yourself as a well-rounded candidate by having the ability to analyze data and convey its conclusions.

In this article, we will discuss what is data storytelling, how it is important and ways to master it.

What is Data Storytelling?

Companies use a specific type of storytelling called “data storytelling” to develop and support their narrative using data. Because it uses specific narrative techniques to captivate audiences, it is very similar to brand storytelling. However, the foundation of data storytelling is providing context for the story and using data to back it up.

While you might picture endless spreadsheets and an infinity of statistics, these represent only a small portion of data storytelling. Consider data analytics as having two parts: data collection and filtering. the challenging abilities. On the other side, the soft skills component of the work entails data representation and visualization in a way that is simple to grasp and express, sometimes known as data storytelling.

How to Master Data Storytelling?

Data analysis and data storytelling are both skills. And with time and dedication, you may try to improve it. It requires a lot of creativity and communication skills to be able to weave a story using data analytics. You must use the data to create a logical story as well. However, you must also make sure that your target audience is being reached and engaged.

  • Who is your audience?

For various purposes, people produce diverse types of content. The greatest method to engage your audience is to tailor your content to suit them. So, you’re writing for firm CEOs and stakeholders, right? Or is the marketing team your intended audience? Or are they your consumers, your audience?

Knowing your target audience is essential for any kind of material. The same holds true for data storytelling. Before you start creating content, understand your target audience.

  • How do communicate it properly?

Pick only the numerical or statistical data that is relevant to the narrative. You don’t want to saturate your audiences with data just because you can. Be judicious about what you include in the narrative and why. Your duty is to provide insight and make your content easier to understand for your audience.

It implies that you must be both coherent and cohesive. Any insight that does not benefit the customer is a waste of time, money, and resources. When reading your information, you don’t want your audience to get tired. Instead of choosing data that is relevant, choose data that consistently resonate with your audience.

  • How do you support your data storytelling?

When and where you can, use data visualization and representation. It gives the reader a break from reading texts and can be utilized to present information in a clear and understandable manner. Do not forget the relationship between data narrative and data visualization. Together, they are used to boost each other’s effects. Human brains digest visuals 60,000 times better than texts, according to Ashley Fall.

You must be deliberate about what you use and when if you want to be a good data storyteller. This holds true for both the narratives and the images. Your graphics and text should enhance one another.

Conclusion

There’s a chance that data storytelling will fundamentally alter the way that we use analytics and data. Data storytelling gives the sometimes-impossible numbers and statistics that raw data presents to us a human face. A key step in the process is developing a narrative, but building a compelling story depends on your capacity to comprehend and interpret the facts from an objective viewpoint.

If you still have doubts you can connect with us at Stellar Digital the best digital marketing company in Delhi NCR and Gurgaon. Simply send us an email at contact@stellardigital.in