Visual storytelling with data

Ryan, Lindy

doi:10.1016/b978-0-12-803844-4.00007-8

Cited by 6 publications

(7 citation statements)

References 2 publications

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“…Tableau is one of the leading visual analytics software packages with customers ranging from small to large organisations across all industries (Ryan, 2018; Loth, 2019). Using Tableau software with the real-world SME data, some interesting visualisations and valuable results have been discovered through descriptive, diagnostic and predictive analytics techniques.…”

Section: Discussionmentioning

confidence: 99%

Data science in the business environment: customer analytics case studies in SMEs

Lü

Cairns

Smith

2020

JM2

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Purpose A vast amount of complex data is being generated in the business environment, which enables support for decision-making through information processing and insight generation. The purpose of this study is to propose a process model for data-driven decision-making which provides an overarching methodology covering key stages of the business analytics life cycle. The model is then applied in two small enterprises using real customer/donor data to assist the strategic management of sales and fundraising. Design/methodology/approach Data science is a multi-disciplinary subject that aims to discover knowledge and insight from data while providing a bridge to data-driven decision-making across businesses. This paper starts with a review of established frameworks for data science and analytics before linking with process modelling and data-driven decision-making. A consolidated methodology is then described covering the key stages of exploring data, discovering insights and making decisions. Findings Representative case studies from a small manufacturing organisation and an independent hospice charity have been used to illustrate the application of the process model. Visual analytics have informed customer sales strategy and donor fundraising strategy through recommendations to the respective senior management teams. Research limitations/implications The scope of this research has focused on customer analytics in small to medium-sized enterprise through two case studies. While the aims of these organisations are rather specific, they share a commonality of purpose for their strategic development, which is addressed by this paper. Originality/value Data science is shown to be applicable in the business environment through the proposed process model, synthesising micro- and macro-solution methodologies and allowing organisations to follow a structured procedure. Two real-world case studies have been used to highlight the value of the data-driven model in management decision-making.

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Section: Discussionmentioning

confidence: 99%

Data science in the business environment: customer analytics case studies in SMEs

Lü

Cairns

Smith

2020

JM2

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“…In turn, this could support more efficient decision-making. Ryan [32], another proponent of data storytelling, described to this approach as information compression: smashing complicated information into manageable pieces by focusing on what is most important and then pretending it is whole and bound entirely within the visualization(s) used to illustrate the message.…”

Section: Data Storytellingmentioning

confidence: 99%

The Influence of Data Storytelling on the Ability to Recall Information

Zdanovic

Lembcke

Bogers

2022

ACM SIGIR Conference on Human Information Interaction and Retrieval

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With ever-increasing amounts of complex data, we need compelling ways to distill this information into meaningful, memorable and engaging insights. Data storytelling is an emerging visualization paradigm that aims to "tell a story" with data in order to elicit deeper reflections in an effective manner. However, the effects of adding a narrative to a visualization on the memorability of the information remain speculative. Based on a review of related work, we synthesize a framework of data storytelling principles with concrete actions for every principle. We use this framework to design an online, controlled experiment to test compare traditional data visualizations with data storytelling visualizations in terms of their effects on short-term and long-term recall of information displayed in the visualizations. In general, despite long-held assumptions in the visualization community, we find no significant differences in recall between traditional visualizations and data storytelling visualization. However, we find indications that the cognitive load induced by different chart types and self-assessed prior knowledge on the chart topics could possibly have a moderating effect on information recall. CCS CONCEPTS• Human-centered computing → Empirical studies in visualization; Visualization theory, concepts and paradigms; Visualization design and evaluation methods.

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“…These resources include numerous textbooks targeted for business schools teaching visualization courses. Popular texts today include The Visual Display of Quantitative Information [Tufte, 2001], Visual Data Storytelling with Tableau [Ryan, 2018], Data Points: Visualization That Means Something [Yau, 2013], and Show Me the Numbers: Designing Tables and Graphs to Enlighten [Few, 2012], and some information visualization textbooks such as Visualization Analysis and Design [Munzner, 2014] and Information Visualization Perception for Design [Ware, 2013], among others. Further, in addition to their Tableau for Teaching free software licensing program, Tableau also has educator-designed curricula suitable for graduate-level students that can be incorporated into classroom pedagogy for educator use.…”

Section: Sidebar: Resources For Teaching Visualization In Professionamentioning

confidence: 99%