Açık Kaynak İş Zekâsı Uygulaması

Yıl 2021, Cilt: 3 Sayı: 3, 189 - 192, 30.12.2021

Dursun Dinçer Sefa Sarı , Erdem Çer Mustafa Kamaşak

https://doi.org/10.47769/izufbed.872189

Öz

Bu çalışmada açık kaynak kodlu teknolojiler ile geliştirilen yakın gerçek zamanlı iş zekâsı uygulaması açıklanmakta ve elde edilen sonuçlar irdelenmektedir. Uçtan uca kullanılacak bir raporlama aracı her sektörden şirketin ihtiyacı olup açık kaynak raporlama araçları lisans maliyetleri konusunda şirketlerin yükünü oldukça hafiflettiği için tercih edilmiştir. Yapılan çalışmalarla alt yapı olarak büyük veri üzerindeki çalışmaları, tahminleme modelleri, karar destek algoritmaları ve öğrenen modellerin geliştirilebileceği bir altyapı geliştirilerek, geniş bir veri tabanı portföyünü, yakın gerçek zamanlı raporlamayı, mobil cihazlarla uyumluluğu destekleyen iş zekâsı uygulaması yaklaşık 1000 kullanıcının kullanımına açılmıştır.

Anahtar Kelimeler

İş zekası, yakın gerçek zamanlı raporlama, açık kaynak, büyük veri, veri analizi

Open Source Business Intelligence Application

Öz

In this work, near real time business intelligence application was developed using open source libraries, and its performance was investigated. An end-to-end reporting tool is needed by companies from every sector, and open source reporting tools are preferred due to high license costs of commercial products. An infrastructure was developed that works on big data upon which prediction models, decision support algorithms and learning models can be developed. The business intelligence application supports various databases, near-real time reporting and compatibility with mobile devices. Currently, the developed business intelligence application is used by approximately 1000 users.

Anahtar Kelimeler

Business intelligence, near real-time reporting, open source, big data, data analysis

Kaynakça

• Referans1 Lapa, Joaquim, Jorge Bernardino, and Ana Figueiredo. "A comparative analysis of open source business intelligence platforms." Proceedings of the International Conference on Information Systems and Design of Communication. 2014.
• Referans2 Vargas, V., et al. "Pentaho and Jaspersoft: a comparative study of business intelligence open source tools processing big data to evaluate performances." International Journal of Advanced Computer Science and Applications 7.10 (2016): 20-29.
• Referans3 Thomsen, Christian, and Torben Bach Pedersen. "A survey of open source tools for business intelligence." International Conference on Data Warehousing and Knowledge Discovery. Springer, Berlin, Heidelberg, 2005.
• Referans4 Tereso, Marco, and Jorge Bernardino. "Open source business intelligence tools for SMEs." 6th Iberian Conference on Information Systems and Technologies (CISTI 2011). IEEE, 2011.
• Referans5 Gioia, Andrea, Grazia Cazzin, and Ernesto Damiani. "SpagoBI: A distinctive approach in open source business intelligence." 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies. IEEE, 2008.
• Referans6 Marinheiro, António, and Jorge Bernardino. "Analysis of open source Business Intelligence suites." 2013 8th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2013.
• Referans7 Bernardino, Jorge, and Marco Tereso. "Business intelligence tools." Computational Intelligence and Decision Making. Springer, Dordrecht, 2013. 267-276.
• Referans8 Bernardino, Jorge. "Open business intelligence for better decisionmaking." International Journal of Information Communication Technologies and Human Development (IJICTHD) 5.2 (2013): 20-36.
• Referans9 Bernardino, Jorge, and Pedro Caldeira Neves. "Decision-making with big data using open source business intelligence systems." Human Development and Interaction in the Age of Ubiquitous Technology. IGI Global, 2016. 120-147.
• Referans10 Poba-Nzaou, Placide, Sylvestre Uwizeyemungu, and Mariem Saada. "Critical barriers to business intelligence open source software adoption." International Journal of Business Intelligence Research (IJBIR) 10.1 (2019): 59-79.