Neifer Thomas, Lawo Dennis, Bossauer Paul, Esau Margarita, Jerofejev Anna-Maria
Information Systems, Universität Siegen, Siegen, Deutschland.
Wirtschaftswissenschaften, Hochschule Bonn-Rhein-Sieg, Sankt Augustin, Deutschland.
HMD Prax Wirtsch Inform. 2020;57(5):1033-1046. doi: 10.1365/s40702-020-00662-3. Epub 2020 Oct 8.
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.
由于持续的数字化和大数据趋势，可用数据量不断增加。这带来了诸多潜力，尤其是对公司而言。应对和评估这些数据的能力体现在数据科学家的角色中，数据科学家是目前最热门的职业之一。然而，将数据整合到企业战略和文化中会产生挑战。例如，必须将复杂的数据和分析结果传达给对数据不太感兴趣的利益相关者。数据叙事在此起着决定性作用，因为要利用数据引发变革，必须首先为每个目标群体营造对该问题的理解和动力。然而，数据叙事仍是一个小众话题。本文采用系统的文献分析来推导数据叙事的成功因素，以便有效地将数据传达给支持数据科学家进行数据和结果交流的研究与实践人员。
