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Big data business analytics in supply chain management - The effects on organisational performance

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dc.contributor Aalto University en
dc.contributor Aalto-yliopisto fi
dc.contributor.advisor Kauppi, Katri
dc.contributor.author Vilander, Teemu
dc.date.accessioned 2018-06-27T09:52:05Z
dc.date.available 2018-06-27T09:52:05Z
dc.date.issued 2018
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/32242
dc.description.abstract Big data and analytics have been emerging topics in 2010’s. Applied to supply chain management they can improve organisational performance. Nevertheless, organisations’ capabilities and difficulties to see the benefits that analytics can bring are the major challenges in successful implementation of analytics. This thesis investigates these issues by reviewing literature and creating a research framework that helps to understand how these issues relate to each other. The research objectives of this thesis are 1) to find out what are the needed big data business analytics capabilities and 2) to form a clear picture how big data business analytics, applied to supply chain management, can effect on organisational performance. At first the three main concepts (Big data, supply chain management and business analytics) are defined. This is followed by discussion of the three main organisational capabilities (technological, managerial and analytics personnel). After that this thesis discusses more closely about the connection between analytics and supply chain management. And lastly how analytics effects on organisational performance. The results indicate that all three big data analytics capabilities are important and should be development together. Analytics can bring benefits to all supply chain functions and organisations’ supply chain regardless of their size. Many studies found the positive connection between analytics and organisations’ performance. This is supported by strategic alignment of analytics, business and information system strategy. Lastly this thesis proposes five steps what to consider before making decisions on the use of analytics in supply chain management. en
dc.format.extent 34+2
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Big data business analytics in supply chain management - The effects on organisational performance en
dc.type G1 Kandidaatintyö fi
dc.contributor.school Kauppakorkeakoulu fi
dc.contributor.school School of Business en
dc.contributor.department Tieto- ja palvelujohtamisen laitos fi
dc.subject.keyword analytics en
dc.subject.keyword big data en
dc.subject.keyword supply chain management en
dc.subject.keyword SCOR en
dc.identifier.urn URN:NBN:fi:aalto-201806273651
dc.type.ontasot Bachelor's thesis en
dc.type.ontasot Kandidaatintyö fi
dc.programme Tieto- ja palvelujohtaminen en

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