Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/100706
Full metadata record
DC FieldValueLanguage
dc.date.accessioned2022-08-18T09:28:23Z-
dc.date.available2022-08-18T09:28:23Z-
dc.date.issued2013-
dc.identifier.citationMangion, D. (2013). Financial data visualisation : increasing decision making effectiveness within the Maltese public sector (Higher Diploma long essay).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/100706-
dc.descriptionH.DIP.ACCTY.&FIN.en_GB
dc.description.abstractDecision making effectiveness demands that decisions outcomes can be measured, thus decisions should be based on accurate, reliable and timely information available to decision makers. Effective financial decision making has become a necessity for ensuring that the limited assets and resources available are utilised and invested in areas which will ultimately deliver long lasting business value, particularly in today's financial turbulence. In order to achieve business value and effectiveness, data visualisation techniques are being employed by the private sector to help decision makers in taking effective decisions towards increased value to all stakeholders. This essay looks into financial data visualisation requirements, aimed at serving as a reference for decision makers within the Maltese public sector for introducing data visualisation techniques by: • Demonstrating the importance of "Data Assets" within Malta's public sector; • Researching ratios as key performance indicators for visualising performance; • Overview data visualisation techniques and requirements; The justification for data visualisation and the need to recognise data asset prompts an overview of the decision making process and the leadership setup of the Maltese public sector as the main target group for financial data visualisation. Reviewed case studies from the UK public sector show that investments in data visualisation ultimately result in overall savings. The foregone results and financial ratios as key performance indicators serving as a financial data source for data visualisation (including examples) could thus be used within the Maltese public sector to assess effectiveness and overall performance. Conclusions concentrate about the fact that today users are no longer confined to their desk and thus a real need exists for data visualisation which amongst others, increases user performance and satisfaction. Through data visualisation, public sector leaders may assess past decisions and possible future scenarios allowing for increased decision making effectiveness. An insight to the future suggests that data visualisation plays an increased important role in decision making, which calls for public sector entities to utilise modern technologies to support decision making.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectDecision makingen_GB
dc.subjectCivil service -- Maltaen_GB
dc.subjectComputer graphicsen_GB
dc.titleFinancial data visualisation : increasing decision making effectiveness within the Maltese public sectoren_GB
dc.typehigherDiplomaen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Economics, Management and Accountancy. Department of Accountancyen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorMangion, Donald (2013)-
Appears in Collections:Dissertations - FacEma - 2013
Dissertations - FacEMAAcc - 2013

Files in This Item:
File Description SizeFormat 
H.DIP.PUBLIC ACCTY._FIN._Mangion_Donald_2013.pdf
  Restricted Access
9.89 MBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.