TIM-8510 v1

Medeiros, M. M., & Maçada, A. C. G. (2022). Competitive advantage of data-driven analytical capabilities: The role of big data visualization and of organizational agility. Management Decision, 60(4), 953–975. https://doi.org/10.1108/MD-12-2020-1681

Meeks, E. (2022). The data visualization lifecycle [Video file]. Addison-Wesley Professional.

Setlur, V., & Cogley, B. (2022). Functional aesthetics for data visualization. Wiley.
Read Chapters 1, 2 and 3 which cover the science of perception as it relates to charts and how charts are used.

Cabral, D. (2022, April 20). The evolution of data visualization [Video file]. Tedx Talks.

Buttner, P., Kraemer, S., & Rowell, K. S. (2022). Data visualization in healthcare: Enhancing data skills for the next generation of professionals [White paper]. American Health Information Management Association.
Example from Healthcare

Tableau. (2023). NYU Langone Health builds a data-driven culture featuring Tableau visual analytics.
Example from Healthcare

Suprata, F. (2019). Data storytelling with dashboard: Accelerating understanding through data visualization in financial technology company case study. Urnal Metris, 20(2019), 1-10.
Example from Finance

Microsoft. (2023). PwC uses Azure Synapse and power BI to help clients gain valuable insights.
Example from Finance

Tableau. (2023). Verizon uses Tableau to reduce support calls by 43%, enhancing customer experience.
Example from Support and Consumer Engagement
You do not need the word “data” in your title to engage with it. Data visualization uses visual elements to tell a story within the data while making it more engaging and easily accessible. In these examples, data visualization was used to enhance organizational effectiveness in customer engagement

Microsoft. (2023). HP uses artificial intelligence to transform its customer support experience.
Example from Support and Consumer Engagement

Kazakoff, M. (2022). Persuading with data: A guide to designing, delivering, and defending your data. MIT Press.
This book combines both explanatory visualization and communication strategy, showing how to use visuals to create effective communications that convince an audience to accept and act on the data.
Read Chapters 1. Know your own Mind, 2. See how Graphs Work, and 3. Choose the Right Graph

Garreton, M., Morini, F., Celhay, P., Dork, M., & Parra, D. (2023). Attitudinal effects of data visualizations and illustrations in data stories. IEEE Transactions on Visualization and Computer Graphics, PP, 1–16. https://doi.org/10.1109/TVCG.2023.3248319

Kelly, S., & Tovey, T. L. S. (2022). Data visualization as communication: The Role of business communication in data analytics. Business Communication Research and Practice, 5(1), 42–45. https://doi.org/10.22682/bcrp.2022.5.1.42

Zhu, W., & Ni, T. (2021). A study of big-data-driven data visualization and visual communication design patterns. Scientific Programming, 2021, 1–11. https://doi.org/10.1155/2021/6704937

Jensen, E. A., Borkiewicz, K., Naiman, J. P., Levy, S., & Carpenter, J. (2023). Evidence-based methods of communicating science to the public through data visualization. Sustainability (Basel, Switzerland), 15(8), 6845–. https://doi.org/10.3390/su15086845

Pandey, A. V., Manivannan, A., Nov, O., Satterthwaite, M., & Bertini, E. (2014). The persuasive power of data visualization. IEEE Transactions on Visualization and Computer Graphics, 20(12), 2211–2220. https://doi.org/10.1109/TVCG.2014.2346419

Pandey, A. V., Manivannan, A., Nov, O., Satterthwaite, M., & Bertini, E. (2014). The persuasive power of data visualization. IEEE Transactions on Visualization and Computer Graphics, 20(12), 2211–2220. https://doi.org/10.1109/TVCG.2014.2346419

Roselli, L. R. P., de Almeida, A. T., & Frej, E. A. (2019). Decision neuroscience for improving data visualization of decision support in the FITradeoff method. Operational Research, 19(4), 933–953. https://doi.org/10.1007/s12351-018-00445-1

Bačić, D., & Henry, R. (2022, December). Advancing our understanding and assessment of cognitive effort in the cognitive fit theory and data visualization context: Eye tracking-based approach. Decision Support Systems, 163, 113862–. https://doi.org/10.1016/j.dss.2022.113862

Purdue OWL. (n.d.). Data visualization best practices.

American Psychological Association. (2021). Figure setup.

Purdue Global Writing Center. (2022). Formatting graphics and visuals in APA style.

Schwabish, J., & Feng, A. (2021, June 9). Do no harm guide: Applying equity awareness in data visualization. Urban Institute.

Diversity, equity, and inclusion in data visualization: General recommendations. (n.d.). Urban Institute.