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Visualization of E-commerce Transaction Data: USING BUSINESS INTELLIGENCE TOOLS
KTH, School of Information and Communication Technology (ICT).
2015 (English)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Customer Value(CV) is a data analytics company experiencing problems presenting the result of their analytics in a satisfiable manner. As a result, they considered the use of a data visualization and business intelligence softwares. The purpose of such softwares are to, amongst other things, virtually represent data in an interactive and perceptible manner to the viewer.

There are however a large number of these types of applications on the market, making it hard for companies to find the one that best suits their purposes. CV is one such company, and this report was done on behalf of them with the purpose to identify the software best fitting their specific needs.

This was done by conducting case studies on specifically chosen softwares and comparing the results of the studies.The software selection process was based largely on the Magic Quadrant report by Gartner, which contains a general overview of a subset of business intelligence softwares available on the market. The selected softwares were Qlik view, Qlik sense, GoodData, panorama Necto, DataWatch, Tableau and SiSense.

The case studies focused mainly on aspects of the softwares that were of interest to CV, namely thesoftwares data importation capabilities, data visualization options, the possibilities of updating the model based on underlying data changes, options available regarded sharing the created presentations and the amount of support offered by the software vendor.

Based on the results of the case studies, it was concluded that SiSense was the software that best satisfied the requirements set by CV.

Abstract [sv]

Customer Value(CV) är ett företag som upplever svårigheter med att presentera resultaten av deras dataanalys på ett tillfredsställande sätt. De överväger nu att att använda sig av datavisualisering och Business Intelligence program för att virtuellt representera data på ett interaktivt sätt.

Det finns däremot ett stort antal olika typer av sådanna applikationer på marknaden, vilket leder till svårigheter för företag att hitta den som passar dem bäst. CV är ett sådant företag, och detta rapport var skriven på deras begäran med syftet att identifieraden datavisualisations- eller Business Intelligence programmet, som bäst passar deras specifika behov.

Detta gjordes med hjälp av en serie fallstudier som utfördes på specifikt valda mjukvaror, för att sedan jämföra resultaten av dessa studier.Valprocessen av dessa mjukvaror var i stora drag baserad på "Magic Quadrant 2015" rapporten av Gartner, som innehåller en generell och överskådlig bild av business intelligence applikationsmarknaden. De applikationer som valdes för evaluering varQlik view, Qlik sense, GoodData, panorama Necto, DataWatch, Tableau och SiSense.

Fallstudierna fokuserade främst på aspekter av mjukvaran som var av intresse till CV, nämligen deras dataimportationsförmåga, datavisualiseringsmöjligheter, möjligheter till att uppdatera modellen baserad på ändringar i den underliggande datastrukturen, exporeteringsmöjligheter av de skapade presentationerna och den mängd dokumentation och support som erbjöds av mjukvaroutgivaren.

Baserad på resultaten av fallstudierna drogs slutsatsen att SiSense var applikationen som bäst täckte CVs behov.

Place, publisher, year, edition, pages
2015. , 66 p.
Series
TRITA-ICT-EX, 2015:89
Keyword [en]
Customer Value, Data Visualization, Business Intelligence, Data analysis, Qlik, GoodData, Panorama Necto, DataWatch, Tableau, SiSense
Keyword [sv]
Customer Value, Data Visualisation, Business intelligence, Data analysis, Qlik, GoodData, Panorama Necto, DataWatch, Tableau, SiSense
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-177461OAI: oai:DiVA.org:kth-177461DiVA: diva2:872891
Educational program
Bachelor of Science in Engineering - Computer Engineering
Examiners
Available from: 2015-11-25 Created: 2015-11-20 Last updated: 2017-06-15Bibliographically approved

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Citation style
  • apa
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