Data Storytelling
A storytelling is one of the most effective approaches that known from a long time and used in many filed, if we came to data industry, sometimes the upper-level managers require a summary of data or the highlight of the important information in a report. But data have to be completely understood, so here comes the power of data storytelling that present data in natural language to be used by business user effectively. Data storytelling use narrative techniques instead of using presentation tools such as bar chart or scatter plot.[1]
With the propagation of big data, the needs of Data Storytelling are increasing. Data Storytelling is a type of data visualization used to simplify the complex information in order to communicate data insights with people, to uncover insights, and to support the business decision-making process. It’s a structured approach consist of three key elements which are data, visuals, and narrative.[2] Combing the three elements correctly can drive to the desired goals to an organization that seeks to have better data analysis and accessible.[3]
Data Storytelling will be one of the best-used tools to interpret analyzed data that lead to deeper analysis. Bernard Marr, believe in the power of data storytelling and he’s consider it as the best form of visualization and Business Intelligence platforms.[4]
Characteristics of Data Storytelling[edit]
Begging of data extraction moving through exploration, analysis, until interpretation. Data have to be present in simple and natural language because Interpretation data in narrative form will:
- Break the limitation between machine and human.
- Catch the audience’s attention.
- Delivers hard data to non-technical people easily.
- Entrench the most important information to facilitate memorialize.
- Allow employees across business functions to access and explore data by themselves –self-service data analysis–.
- Save time and effort.
Storytelling and Visualization[edit]
What makes storytelling different and unique from visualization is that storytelling presenting the data with natural language so when it presented to any person he can completely understand it and know what to do with this information, unlike visualization which only presenting data on a graphical design thus make the viewer think to discover the meaning of the graph.[5]
References[edit]
- ↑ Denbo, Seth (2015). "Data Storytelling and Historical Knowledge | AHA". www.historians.org. Retrieved 2018-03-12.
- ↑ Dykes, Brent (2016). "data-storytelling the essential data science skill everyone needs".
- ↑ Segel and Heer, Edward and Jeffrey (2010). "Narrative Visualization: Telling Stories with Data" (PDF). IEEE.
- ↑ Marr, Bernard (2016). "Why Management Dashboards And Analytics Will Never Be The Same Again". forbes.
- ↑ Kosara, Mackinlay, Robert, Jock (2013). "Storytelling:The Next Step for Visualization" (PDF). IEEE.
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