Data Storytelling: The Next Chapter in Data Science

Data Science is sometimes called the sexiest job of the 21st century. Impressive terms such as predictive analytics and deep learning are used. There is often no lack of technological solutions for gaining knowledge and insights from data and presenting the results in beautiful dasboards and pie charts. However, there is something underexposed that is of essential importance within this field, namely data storytelling. A term that is popping up more and more and seems to be a trend! Just another buzzword? What is it really? And why is it becoming increasingly important?

In short, data storytelling is the art of communicating using data. It is a story you want to tell your audience. Data storytelling is a combination of analyzing data and gathering relevant insights, developing the right visualizations and ultimately creating a clear story around it. Large datasets, smart analyses and statistics alone are not enough if we cannot properly communicate and convey the story behind them and the findings. It will then have no impact, decision makers will not take action and people will not understand why certain measures are necessary.

A good story says more than a hundred pie charts and graphs

Data storytelling will therefore become more important in the coming years due to the increasing amount of data and information coming at us. There are also more and more companies like Spotify that use data storytelling as part of their marketing strategy.

Soon we will publish a blog in which we will further explore this topic supported by a number of striking examples.