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Collaboration of Business Intelligence and Cloud Computing and Selecting the Best Cloud Business Intelligence Solution

Yıl 2021, Cilt: 12 Sayı: 46, 29 - 45, 28.08.2021
https://doi.org/10.5824/ajite.2021.03.002.x

Öz

In this study, business intelligence concept and architecture were explained from data sources to reporting with many advantages provided to institutions in the first part. Then, both cloud computing technology with its service and deployment models and the characteristics of cloud computing experienced clarified in the second part of the study. The relationship between cloud computing and business intelligence and the concept arisen from this collaboration, cloud business intelligence, were represented with its benefits and obstacles experienced by companies using this technology in the third part. Four service providers as alternatives serving cloud business intelligence solutions were selected and the criteria were determined according to the needs of the company, that would like to use a cloud business intelligence software. After all the criteria are prioritized and the alternatives are determined, the best software was chosen by using the Analytic Hierarchical Process software, called Expert Choice.

Kaynakça

  • Capterra. (2020). 11 23, 2020 tarihinde Capterra: https://www.capterra.com.au/compare/162441/176586/ibm-cognos-analytics/vs/power-bi?vs[]=45527&vs[]=88726 adresinden alındı
  • DOMO. (2020, 12 2). From Big Data to Better Decisions. https://www.domo.com/assets/downloads/15_bi-guide.pdf adresinden alındı
  • Elmalah, K., & Nasr, M. M. (2019, 6 5). Cloud Business Intelligence. Int. J. Advanced Networking and Applications, 10(6).
  • Fast Company. (2021, 3 5). 3 5, 2021 tarihinde Fast Company: https://www.fastcompany.com/company/ibm adresinden alındı
  • IBM. (2020). Cognos Analytics Pricing. 11 2020 tarihinde https://www.ibm.com/products/cognos-analytics/pricing adresinden alındı
  • Microsoft Power BI. (2020). Power BI Pricing. 11 2020 tarihinde Microsoft Power BI: https://powerbi.microsoft.com/en-us/pricing/ adresinden alındı
  • Saaty, T. (2000). Fundementals of Decision Making and Priority Theory With the Analytic Hierarchy Process. 3 1, 2021 tarihinde https://books.google.com.tr/books?id=wct10TlbbIUC&source=gbs_navlinks_s adresinden alındı
  • SAP. (2020). SAP Analytics Cloud for Business Intelligence. 11 2020 tarihinde https://www.sapstore.com/solutions/40117/SAP-Analytics-Cloud-for-Business-Intelligence adresinden alındı
  • Stellar Consulting. (2021, 3 6). Gartner 2020 Magic Quadrant for Analytics and BI platforms. 3 6, 2021 tarihinde https://stellarconsulting.co.nz/articles/gartner-2020-magic-quadrant-for-analytics-and-bi-platforms/ adresinden alındı
  • Tableau. (2020). Pricing for Data People. 11 2020 tarihinde https://www.tableau.com/pricing/teams-orgs adresinden alındı
  • Vargas, Ricardo. (2019). Analytıcal Hierarchy Process, Earned Value And Other Project Management Themes. 3 1, 2021 tarihinde https://rvdownloads.s3.amazonaws.com/uploads/downloads/books/ricardo_vargas_articles_compendium-third-edition.pdf adresinden alındı

İş Zekâsı ve Bulut Bilişim İşbirliği ve En İyi Bulut İş Zekâsı Çözümü Seçimi

Yıl 2021, Cilt: 12 Sayı: 46, 29 - 45, 28.08.2021
https://doi.org/10.5824/ajite.2021.03.002.x

Öz

Bu çalışmada iş zekâsı konsepti ve mimarisi, veri kaynaklarından raporlama aşamasına kadar kurumlara sağladığı faydalar ile birlikte açıklanmıştır. Ardından hem bulut bilişim teknolojisi geliştirme ve servis modelleri hem de tecrübe edilen bulut bilişim özellikleri incelenmiştir. Bulut bilişim, iş zekâsı ve bu terimlerin birlikteliğinden doğan bulut iş zekâsı terimi, bu konsepti uygulayan şirketler tarafından tecrübe edilen faydaları ve aksak yönleriyle anlatılmıştır. Bulut iş zekâsı alanında hizmet veren dört servis sağlayıcı seçildi ve bulut tabanlı iş zekâsı yazılımı kullanmak isteyen şirketimizin ihtiyacına göre kriterler belirlenmiştir. Bütün kriterler önceliklerine göre sıralandıktan ve alternatifler belirlendikten sonra karar vermek için “Expert Choice” adlı Analitik Hiyerarşi Süreci yazılımı kullanılarak şirket için en uygun olan bulut iş zekâsı yazılımı seçilmiştir.

Kaynakça

  • Capterra. (2020). 11 23, 2020 tarihinde Capterra: https://www.capterra.com.au/compare/162441/176586/ibm-cognos-analytics/vs/power-bi?vs[]=45527&vs[]=88726 adresinden alındı
  • DOMO. (2020, 12 2). From Big Data to Better Decisions. https://www.domo.com/assets/downloads/15_bi-guide.pdf adresinden alındı
  • Elmalah, K., & Nasr, M. M. (2019, 6 5). Cloud Business Intelligence. Int. J. Advanced Networking and Applications, 10(6).
  • Fast Company. (2021, 3 5). 3 5, 2021 tarihinde Fast Company: https://www.fastcompany.com/company/ibm adresinden alındı
  • IBM. (2020). Cognos Analytics Pricing. 11 2020 tarihinde https://www.ibm.com/products/cognos-analytics/pricing adresinden alındı
  • Microsoft Power BI. (2020). Power BI Pricing. 11 2020 tarihinde Microsoft Power BI: https://powerbi.microsoft.com/en-us/pricing/ adresinden alındı
  • Saaty, T. (2000). Fundementals of Decision Making and Priority Theory With the Analytic Hierarchy Process. 3 1, 2021 tarihinde https://books.google.com.tr/books?id=wct10TlbbIUC&source=gbs_navlinks_s adresinden alındı
  • SAP. (2020). SAP Analytics Cloud for Business Intelligence. 11 2020 tarihinde https://www.sapstore.com/solutions/40117/SAP-Analytics-Cloud-for-Business-Intelligence adresinden alındı
  • Stellar Consulting. (2021, 3 6). Gartner 2020 Magic Quadrant for Analytics and BI platforms. 3 6, 2021 tarihinde https://stellarconsulting.co.nz/articles/gartner-2020-magic-quadrant-for-analytics-and-bi-platforms/ adresinden alındı
  • Tableau. (2020). Pricing for Data People. 11 2020 tarihinde https://www.tableau.com/pricing/teams-orgs adresinden alındı
  • Vargas, Ricardo. (2019). Analytıcal Hierarchy Process, Earned Value And Other Project Management Themes. 3 1, 2021 tarihinde https://rvdownloads.s3.amazonaws.com/uploads/downloads/books/ricardo_vargas_articles_compendium-third-edition.pdf adresinden alındı
Toplam 11 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Research Article
Yazarlar

İpek Aslan 0000-0001-6524-6499

Aşkın Demirag 0000-0001-7868-0438

Erkut Akkartal 0000-0002-7090-4449

Yayımlanma Tarihi 28 Ağustos 2021
Gönderilme Tarihi 29 Temmuz 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 12 Sayı: 46

Kaynak Göster

APA Aslan, İ., Demirag, A., & Akkartal, E. (2021). Collaboration of Business Intelligence and Cloud Computing and Selecting the Best Cloud Business Intelligence Solution. AJIT-E: Academic Journal of Information Technology, 12(46), 29-45. https://doi.org/10.5824/ajite.2021.03.002.x