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Project indicators visualization using an interactive dashboard

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Języki publikacji
EN
Abstrakty
EN
Purpose: The objective of this paper is to make the reader aware of how to design dashboards dedicated to project indicator visualization so as to support their digestibility, usability (scannability) and customizability. Design/methodology/approach: To achieve this goal, first, a literature review was conducted to identify principles for designing dashboards for this issue. Secondly, a real project management dashboard was built to investigate, in terms of technical issues, which interventions a project management dashboard designer should use to create a useful tool that would support the work of the project team. Findings: The digestibility should address the following issues: 1) the optimal number of visualizations, 2) chart selections in a way that enables adaptation to data and assumed initiated action, 3) color design in the context of best contras, with color-blind users in mind. In addition, the usability (scannability) should be intuitive. Thus, elements related to time widget intervals and click to filter options have to be added. To provide the customizability, the dashboard should be designed to display project indicators tailored to the tasks of a particular project team. Originality/value: New in the paper is an examination of a dashboard digestibility, scannability, and customizability in the area of project indicator visualization.
Rocznik
Tom
Strony
329--339
Opis fizyczny
Bibliogr. 23 poz.
Twórcy
autor
  • Silesian University of Technology
Bibliografia
  • 1. Barr, S. (2014). 3 Problems With KPI Traffic Light Dashboards. Retrieved from https://www.staceybarr.com/measure-up/3-problems-with-traditional-kpi-traffic-lights/.
  • 2. Craig, W. (2019). How to Make Data Visualization Better with Gestalt Laws. Retrieved from https://www.webfx.com/blog/web-design/data-visualization-gestalt-laws/.
  • 3. Durcevic, S. (2019a). Make Sure You Know The Difference Between Strategic, Analytical, Operational, And Tactical Dashboards. Retrieved from https://www.datapine.com/blog/ strategic-operational-analytical-tactical-dashboards/.
  • 4. Durcevic, S. (2019b). Your Guide To Project Management Dashboards - Examples & Templates. Retrieved from https://www.datapine.com/blog/project-management-dashboards-examples-and-templates/.
  • 5. Durcevic, S. (2019c). 10 Interactive Dashboard Features of Business Dashboards. Retrieved from https://www.datapine.com/blog/interactive-dashboard-features/.
  • 6. Few, S.C. (2012). Show Me the Numbers. Analytics Press.
  • 7. Goguelin, S., Flynn, J.M., Essink, W.P., Dhokia, V. (2017), A Data Visualization Dashboard for Exploring the Additive Manufacturing Solution Space. Procedia CIRP, 60, 93-198, doi: https://doi.org/10.1016/j.procir.2017.01.016.
  • 8. Knaflic, C.N. (2015). Storytelling with data. New Jersey: Willey, Hoboken.
  • 9. Koa, I., Chang, H. (2018). Interactive data visualization based on conventional statistical findings for antihypertensive prescriptions using National Health Insurance claims data. International Journal of Medical Informatics 116, 1-8, doi: https://doi.org/10.1016/ j.ijmedinf.2018.05.003.
  • 10. Kurcwald, K. (2019). 5 Rules for Clarity in Data Visualization. Retrieved from https://www.monterail.com/blog/rules-of-data-visualization.
  • 11. Lage, M., Ono, J.P., Cervone, D., Chiang, J., Dietrich, C., Sila, C.T. (2016). StatCast dashboard: exploration of Spatiotemporal baseball data. IEEE Computer Graphics and Applications, 36, 5. Retrieved from https://ieeexplore.ieee.org/abstract/document/7579419/ metrics#metrics.
  • 12. Lucidchart (2018). How to Use a Project Dashboard to Keep Your Team on Track. Retrieved from https://www.lucidchart.com/blog/project-management-dashboards.
  • 13. Matheus, R., Janssen, M., Maheshwari, D. (2018). Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities. Government Information Quarterly. Retrieved from https://www.sciencedirect.com/ science/article/pii/S0740624X18300303.
  • 14. Meeks, E. (2017). Gestalt Principles for Data Visualization. Retrieved from https://medium.com/@Elijah_Meeks/gestalt-principles-for-data-visualization-59f18f20bd40.
  • 15. Oetting, J. (2019). Data Visualization 101: How to Choose the Right Chart or Graph for Your Data. Retrieved from https://blog.hubspot.com/marketing/types-of-graphs-for-data-visualization.
  • 16. Santos, H., Dantas, V., Furtado, V., Pinheiro, P., McGuinness, D.L. (2017). From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards. In: E. Blomqvist, D. Maynard, A. Gangemi, R. Hoekstra, P. Hitzler, O. Hartig (eds.), The Semantic Web. ESWC 2017. Lecture Notes in Computer Science, 10250. Cham: Springer. doi: https://doi.org/10.1007/978-3-319-58451-5_7.
  • 17. Sedrakyan, G., Mannens, E., Verbert, K. (2019). Guiding the choice of learning dashboard visualizations: Linking dashboard design and data visualization concepts. Journal of Visual Languages and Computing 50, 19-38, doi: https://doi.org/10.1016/j.jvlc.2018.11.002.
  • 18. Stadler, J.G., Donlon, K., Siewert, J.D., Franken, T., Lewis, N.E. (2016). Improving the Efficiency and Ease of Healthcare Analysis Through Use of Data Visualization Dashboards. Big Data, 4, 2, doi: https://doi.org/10.1089/big.2015.0059.
  • 19. Tuft, E.R.(2001b). Envisioning Information. Cheshire, CT: Graphics Press.
  • 20. Tufte, E.R. (2001a). The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press.
  • 21. Vidya (2018). Gestalt Laws Applied to Data Visualization. Retrieved from http://daydreamingnumbers.com/concepts/gestalt-laws-data-visualization/.
  • 22. Vosough, Z., Kammer, D., Keck, M., Groh, R. (2019). Visualization approaches for understanding uncertainty in flow diagrams. Journal of Visual Languages and Computing, 52, 44-54, doi: https://doi.org/10.1016/j.cola.2019.03.002.
  • 23. Yau, N. (2013). Data points. Willey.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-662d6498-ed06-4ef9-a18b-388b7da69021
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