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Dashboard: Realtidsvisualisering av flödet mellan skog och industri
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
2018 (Swedish)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Big data is a term used to describe large amounts of data. The aim of the work has been to develop an efcient system that analyzes large quantities of data. Which in this case is the transport of wood between forest and industry. By man- aging this amount of data, the user can quickly receive information about the lo- cation of the timber and compare historical data regarding it. This report de- scribes the work of implementing a dashboard that compiles "Big data" in real time and in a comprehensible way. The project uses scrum as a project tool. This means an iterative development where you work towards smaller sub-goals. The report also includes evaluations conducted with a focus on usability and also a compilation of research within the subject of data visualization and BI. The evalu- ation indicated that by using the developed dashboard, it took a standard com- puter user an average of 3.4 seconds to fnd the requested information. Before, programming skills would be required and it would take much longer to obtain corresponding information.

Abstract [sv]

Big data är ett begrepp som idag används flr att beskriva stora datamängder. Må- let med arbetet har varit att utveckla ett efektivt system som analyserar stora mängder data. I det här fallet transportfldet av virke mellan skog och industri. Genom att hantera den här mängden data får användaren snabbt fram information om vart virket befnner sig och mljlighet till att jämflra historiska data. Den här rapporten beskriver arbetet med att implementera en dashboard som i realtid sammanställer Big data på ett begripligt sätt. Projektet använder sig av scrum som projektverktyg. Det betyder ett iterativt arbete där man arbetar mot delmål. Rap- porten innehåller även utvärderingar som genomflrts med användbarhet i fokus samt en sammanställning av forskning inom området datavisualisering och BI. Utvärderingen visade att med den utvecklade dashboarden så tog det flr en nor- mal datoranvändare i snitt 3,4 sekunder att hitta den efterslka information. Tidi- gare så krävdes det programmeringskunskaper och betydligt längre tid flr att få fram motsvarade information.

Place, publisher, year, edition, pages
2018. , p. 37
Keywords [en]
Dashboard, .NET, usability, BI, data visualization
Keywords [sv]
Dashboard, .NET, användbarhet, BI, datavisualisering
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:miun:diva-34067Local ID: DT-V18-G3-005OAI: oai:DiVA.org:miun-34067DiVA, id: diva2:1229825
Subject / course
Computer Engineering DT1
Educational program
Master of Science in Engineering - Computer Engineering TDTEA 300 higher education credits
Supervisors
Examiners
Available from: 2018-07-02 Created: 2018-07-02 Last updated: 2018-07-02Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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