Data storytelling is one of the most powerful communication tools that brands can use as part of their Content Marketing strategies. It is a path that is becoming more essential every day, due to the growing competitiveness in the market and the demands of consumers. But how can you create a compelling, attractive and relevant story?
Having the ability to understand data and use it wisely is just as important as finding it. It’s not about taking a bunch of statistics and putting them in a graph or presentation program. When we talk about storytelling, the essential thing is to communicate. And if we put it into an equation, we could translate it as:
data + analysis + visualization + storytelling = data storytelling
Data is fertile ground for creating great stories, aligned with georgia phone number data the interests of the audience they are aimed at. But to include them in a Content Marketing plan and make them a real contribution to the company and its clients, it is essential to take into account several factors:
1. Don’t fit data into a stor
Do you like fairy tale characters? Because we are going to turn to a rather famous and clever one to explain this point. Sherlock Holmes. In the book A Scandal in Bohemia , he tells his companion and friend, John Watson, that: “It is a capital mistake to try to formulate theories before one has data. Without realizing it, one begins to distort the facts to make them fit the theories, instead of the theories fitting the facts.”
What does this English detective teach us? When we build stories 10 essential points for ideal b2b websites before extracting data and performing any analysis, we run the risk of skewing the information. Therefore, for data storytelling to work in favor of your brand, the narratives must be built after having validated data. That is, if one day you wake up thinking that the Facebook empire is coming to an end and you start looking for statistics that help you reaffirm that idea in an article, the content you generate will be closer to becoming clickbait than a quality text.
2. Use reliable sources
Data is everywhere, you can extract it from singapore data censuses, surveys, specialized sites, studies done by a Content Marketing agency, publications created by your company, government agencies, etc. However, as the quantity of this data increases, so does its poor quality. For this reason, you have to know how to filter and identify which are the appropriate sources when using data generated by external entities. How do we do that?