Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • harvard-cite-them-right
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Business analytics in traditional industries – tackling the new age of data and analytics.
Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT.
Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT.
2016 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
Abstract [en]

Decision-making is no longer based on human preferences and expertise alone. The era of big data brings up new challenges with business analytics for organizations that want a competitive advantage. Previous research shows that a lot of studies have been made on why this era is now crucial to organizations but not how they can adapt it. In this case study there is a glimpse of how a traditional organization with an old mindset can catch up on the new technological advantages. The purpose of this study is to understand how a traditional company in Sweden is affected by analytics and if it is valuable to them.For us to be able to create our theoretical framework, we based our on peer-reviewed material but also technological and science blogs from key experts in the field. The material examines the most essential and crucial elements within the area of business analytics and data management. The theoretical framework has guided our work when formulating and refining the research question and the interview questions.The results of the study clearly show that our case is on the right track with new development and projects, but there are still a lot of milestones to achieve before these are fulfilled. Issues within the company have to be solved and there is a need to modify and change the culture in the organization to a more data-driven decisive culture. The study gives a clear insight into the challenges that organizations have to face and overcome before making radical changes.

sted, utgiver, år, opplag, sider
2016.
Emneord [en]
Business analytics, big data, decision-making, business intelligence, data
HSV kategori
Identifikatorer
URN: urn:nbn:se:hb:diva-10450OAI: oai:DiVA.org:hb-10450DiVA, id: diva2:950216
Fag / kurs
Informatics
Veileder
Examiner
Tilgjengelig fra: 2016-08-02 Laget: 2016-07-28 Sist oppdatert: 2018-01-10bibliografisk kontrollert

Open Access i DiVA

2015KANI11(1149 kB)1137 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1149 kBChecksum SHA-512
16bc55efbbd62267eb8e3b23e653680a04c63ac1150d31282bfae24121ab4616393f2efcc2b6dbdf1ef844b7f0dcfa1f9a0102c9af64005795e8608c4625ac9f
Type fulltextMimetype application/pdf

Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 1137 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 927 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • harvard-cite-them-right
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf