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Data Storytelling als kritischer Erfolgsfaktor von Data Science
Due to the ongoing digitalization and the Big Data trend, an increasing amount of data is available. This results in many potentials—especially for companies. The ability to cope with and evaluate this data is reflected in the role of the data scientist, which is one of the most popular jobs at pres...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Fachmedien Wiesbaden
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543038/ http://dx.doi.org/10.1365/s40702-020-00662-3 |
Sumario: | Due to the ongoing digitalization and the Big Data trend, an increasing amount of data is available. This results in many potentials—especially for companies. The ability to cope with and evaluate this data is reflected in the role of the data scientist, which is one of the most popular jobs at present. However, challenges arise from the integration of data into corporate strategy and culture. For example, complex data and analysis results must be communicated to stakeholders who are not data-affine. Data storytelling plays a decisive role here, because to use data to initiate change, understanding and motivation for the issue must first be created for every target group. However, data storytelling is still a niche topic. This article uses a systematic literature analysis to derive the success factors of data storytelling for an effective and efficient communication of data to support Data Scientists in research and practice in communicating data and results. |
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