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Utmaningar i upphandlingsprocessen av Big datasystem: En kvalitativ studie om vilka utmaningar organisationer upplever vid upphandlingar av Big data-system
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology.
2017 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Organisationer har idag tillgång till stora mängder data som inte kan hanteras av traditionella Business Intelligence‐verktyg. Big data karakteriseras av stor volym, snabb hastighet och stor variation av data. För att hantera dessa karaktärer av data behöver organisationer upphandla ett Big data‐system för att ha möjlighet att utvinna värde. Många organisationer är medvetna om att investeringar i Big data kan bli lönsamma men vägen dit är otydlig. Studiens syfte är att undersöka vilka utmaningar organisationer står inför i samband med upphandling av ett Big data‐system och var i upphandlingsprocessen dessa utmaningar uppstår. Det empiriska materialet har samlats in från tre stora svenska företag och myndigheter som har upphandlat ett Big data‐ system. Analys av materialet har genomförts med Critical Incident Technique att identifiera utmaningar organisationer upplever i samband med upphandling av ett Big data‐system. I studiens resultat framgår det att organisationer upplever utmaningar med att förstå behovet av ett Big data‐system, skapa projektgruppen, välja projektmetod, skapa kravspecifikationen och hantera känslig och personlig data.

Abstract [en]

Organizations today have access to massive amounts of data that cannot be handled by traditional Business Intelligence tools. Big data is characterized by big volume, high velocity and variation. Organizations need to acquire a Big Data system, in order to handle the characteristics of the data and be able to generate business value. Today’s organizations are aware that investing in Big Data can be profitable but getting there is a challenge. The purpose of this study is to investigate the challenges the organizations may experience in the process of acquiring a Big Data system and when these challenges arise. The empirical data has been collected by interviewing three large Swedish companies and authorities which have acquired a Big Data system. The Critical Incident Technique has been used in order to identify the challenges which the organizations had experienced in the process of acquiring a Big Data system. The findings of the study shows that organizations experience challenges when they are understanding the need of the Big data‐system, creating the project team, choosing the project method, defining the requirements of the system and managing sensitive and personal data.

Place, publisher, year, edition, pages
2017. , p. 41
Keywords [en]
Big Data, Big Data strategy, Procurement, Acquisition, Challenges
Keywords [sv]
Big data, Big data-strategi, Upphandlingsprocess, Utmaningar
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hh:diva-35802OAI: oai:DiVA.org:hh-35802DiVA, id: diva2:1164081
Subject / course
Informatics
Educational program
Enterprise Systems Program, 180 credits
Examiners
Available from: 2017-12-12 Created: 2017-12-09 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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