Integration of Big Data and Business Intelligence as innovative solution supporting the functioning of modern organizations

Łukasz Bielak


Politechnika Lubelska (Poland)

Piotr Muryjas

p.muryjas@pollub.pl
Lublin University of Technology (Poland)

Abstract

The purpose of this article is to present the possibilities of integration of Business Intelligence (BI) and Big Data (BD). Based on literature studies identified the potential benefits and drawbacks coming from this solution. In addition the benefits of this solution were listed, based on case studies. The article also includes a proprietary system design that integrates BI and BD in the organization of the medical sector.


Keywords:

Big Data; Business Intelligence; Big Data Analytics

Arslan A. K., Colak C., Sarihan M. E., Different medical data mining approaches based prediction of ischemic stroke, computer methods and programs in biomedicine 130, 2016
DOI: https://doi.org/10.1016/j.cmpb.2016.03.022   Google Scholar

Bondarev A., Zakirov D., Data Warehouse on Hadoop Platform for Decision Support Systems in Education, 2015 Twelve International Conference on Electronics Computer and Computation (ICECCO)
DOI: https://doi.org/10.1109/ICECCO.2015.7416884   Google Scholar

Devenport T.H., Dyche J., Big data in big companies
  Google Scholar

Hannula M., Pirttimaki V., Business intelligence empirical study on the top 50 Finnish companies, Journal of American Academy of Business, Marzec 2003
  Google Scholar

Kimball R., Ross M. The Data Warehouse Toolkit Third Edition,Wiley, 2013
  Google Scholar

Mach-Król M., ANALIZA I STRATEGIA BIG DATA W ORGANIZACJACH, Studies & Proceedings of Polish Association for Knowledge Management 74, 2015
  Google Scholar

Praca zbiorowa, A review on application of data mining techniques to combat natural disasters, Ain Shams Engineering Journal, 2016
  Google Scholar

Praca zbiorowa, Big Data for Dummies, John Wiley & Sons, Inc. ,2013
  Google Scholar

Praca zbiorowa, Scalable real-time OLAP on cloud architectures, J. Parallel Distrib. Comput. 79–80, 2015
DOI: https://doi.org/10.1016/j.jpdc.2014.08.006   Google Scholar

Romero O, Herrero V.,Abelló A.,Ferrarons J., Turning Small Analytics on Big Data: Data Partitioning and secondary indexes in Hadoop ecosystem, Information Systems 54, 2015
DOI: https://doi.org/10.1016/j.is.2014.09.005   Google Scholar

Sarka D., Lah M., Jerkic G., Exam 70-463:Implementing a Data Warehouse with Microsoft® SQL Server® 2012, O’Reilly Media, Inc., 2012
  Google Scholar

Stodder D., TDWI Best Practises Report - Business Driven Business Intelligence and Analytics. Achieving Value through Collaborative Business/IT Leadership, tdwi.ord, 3. kwartał 2014
  Google Scholar

Apache Scoop, http://sqoop.apache.org/ [01.09.2016]
  Google Scholar

Beacony i mikrolokalizacja, http://www.computerworld.pl/news/403124/Beacony.i.mikrolo kalizacja.html [02.08.2016]
  Google Scholar

Big Data Analytics - What it is and why it matters, http://www.sas.com/en_us/insights/analytics/big-dataanalytics.html [01.07.2016]
  Google Scholar

Big Data - What it is and why it matters, http://www.sas.com/en_th/insights/big-data/what-is-bigdata.html [22.07.2016]
  Google Scholar

Connecting to Hadoop Hive, http://kb.tableau.com/articles/knowledgebase/hadoop-hiveconnection [16.08.2016]
  Google Scholar

Data sources in Power BI Desktop, https://powerbi.microsoft.com/en-us/documentation/powerbidesktop-data-sources/ [26.08.2016]
  Google Scholar

It Glossary, http://www.gartner.com/it-glossary/ [21.07.2016] [20] Magic Quadrant for Advanced Analytics Platforms, https://www.gartner.com/doc/reprints?id=1-2YEIILW&ct=160210&st=sb [01.07.2016]
  Google Scholar

Studium przypadku z wdrożenia systemu do budżetowania InForum BI Studio w Santander Consumer Bank, http://prnews.pl/analizy/studium-przypadku-z-wdrozeniasystemu-do-budzetowania-inforum-bi-studio-w-santanderconsumer-bank-3118696 [03.07.2016]
  Google Scholar

Tableau & MongoDB: Visual Analytics on JSON at the Speed of Thought, http://www.tableau.com/about/blog/2015/6/tableaumongodb-visual-analytics-json-speed-thought-39557 [05.08.2016]
  Google Scholar

Welcame to Apache Hadoop, http://hadoop.apache.org/ [01.09.2016]
  Google Scholar

What is Big Data Analytics, https://www01.ibm.com/software/ data/infosphere/hadoop/what-is-big-data-analytics.html [07.07.2016]
  Google Scholar

What Is Data Mining, https://docs.oracle.com/cd/B28359_01/datamine.111/b28129/process.htm [29.07.2016]
  Google Scholar


Published
2016-11-14

Cited by

Bielak, Łukasz, & Muryjas, P. (2016). Integration of Big Data and Business Intelligence as innovative solution supporting the functioning of modern organizations. Journal of Computer Sciences Institute, 1(1), 6–13. https://doi.org/10.35784/jcsi.60

Authors

Łukasz Bielak 

Politechnika Lubelska Poland

Authors

Piotr Muryjas 
p.muryjas@pollub.pl
Lublin University of Technology Poland

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