Prototype of New Business Process Visualization Tool

Nagai, Akihiko; Tsuboi, Tatsunosuke; Ito, Takayuki

doi:10.1109/wi-iat.2012.118

Cited by 1 publication

(1 citation statement)

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“…IT Journals such as "IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology" also fall within this category. A paper entitled "Prototype of New Business process Visualization Tool" by Nagai et al presents methods for visualising business process data through network diagrams [103]. However, these diagrams are not considered state-of-the-art and therefore are not included in the scope.…”

Section: Out Of Scopementioning

confidence: 99%

Visualising Business Data: A Survey

Roberts

Laramee

2018

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A rapidly increasing number of businesses rely on visualisation solutions for their data management challenges. This demand stems from an industry-wide shift towards data-driven approaches to decision making and problem-solving. However, there is an overwhelming mass of heterogeneous data collected as a result. The analysis of these data become a critical and challenging part of the business process. Employing visual analysis increases data comprehension thus enabling a wider range of users to interpret the underlying behaviour, as opposed to skilled but expensive data analysts. Widening the reach to an audience with a broader range of backgrounds creates new opportunities for decision making, problem-solving, trend identification, and creative thinking. In this survey, we identify trends in business visualisation and visual analytic literature where visualisation is used to address data challenges and identify areas in which industries use visual design to develop their understanding of the business environment. Our novel classification of literature includes the topics of businesses intelligence, business ecosystem, customer-centric. This survey provides a valuable overview and insight into the business visualisation literature with a novel classification that highlights both mature and less developed research directions.

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Section: Out Of Scopementioning

confidence: 99%