Visualising Business Data: A Survey

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...

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Bibliographic Details
Main Authors: Richard C. Roberts, Robert S. Laramee
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/9/11/285
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spelling doaj-de36b9ec401648299932adb2189ddae52020-11-24T22:40:08ZengMDPI AGInformation2078-24892018-11-0191128510.3390/info9110285info9110285Visualising Business Data: A SurveyRichard C. Roberts0Robert S. Laramee1Visual and Interactive Computing Group, Swansea University, Swansea SA2 8PP, UKVisual and Interactive Computing Group, Swansea University, Swansea SA2 8PP, UKA 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.https://www.mdpi.com/2078-2489/9/11/285businesscustomerecosystemvisualisationsurvey
collection DOAJ
language English
format Article
sources DOAJ
author Richard C. Roberts
Robert S. Laramee
spellingShingle Richard C. Roberts
Robert S. Laramee
Visualising Business Data: A Survey
Information
business
customer
ecosystem
visualisation
survey
author_facet Richard C. Roberts
Robert S. Laramee
author_sort Richard C. Roberts
title Visualising Business Data: A Survey
title_short Visualising Business Data: A Survey
title_full Visualising Business Data: A Survey
title_fullStr Visualising Business Data: A Survey
title_full_unstemmed Visualising Business Data: A Survey
title_sort visualising business data: a survey
publisher MDPI AG
series Information
issn 2078-2489
publishDate 2018-11-01
description 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.
topic business
customer
ecosystem
visualisation
survey
url https://www.mdpi.com/2078-2489/9/11/285
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