Data storytelling
Data storytelling The art of communicating with data in a meaningful way. It is not only important what you say, but how.


What is data storytelling?
In B2B storytelling, you transform complex data and analyses into understandable and appealing information. The figures, facts and statistics of your company are brought into a narrative structure. In this way, you will also be able to arouse the interest of your target group. Supported by graphics and visualizations, insights are better conveyed and you can make decisions more profoundly and faster.
Why is storytelling so important in B2B?
In today's data-driven world, it is more important than ever to communicate effectively with and through data. With modern business intelligence (BI) tools such as Qlik, Power BI, and Tableau, companies can combine, visualize, and analyze huge amounts of data. But this data is only as valuable as the insights and stories that arise from it.
Benefits of good storytelling
- Avoid complexity
Make data more accessible
- Make better decisions
Identify patterns and trends more easily.
- Encourage engagement
Attract the attention of your target group
Data storytelling challenges
One of the biggest challenges is finding the right balance between information and narrative. Too much data can clutter up your narrative and create confusion, too little implausible. The aim is to tell an interesting or relevant story. That's why you should choose the right data and present it in a way that appeals to your target audience.
You should also ensure that you maintain the necessary objectivity. Include all available data and information. But avoid collecting only the data that supports a particular view.
Using data storytelling in business
Storytelling is a powerful technique for turning your data into an engaging and informative narrative. Simplify complex data, make better decisions, and drive audience engagement. In this way, you arouse interest in your data and increase acceptance of fact-based decisions. Ideally, you can also derive concrete actions from the data stories.