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.plLublin 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 AnalyticsReferences
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
Authors
Łukasz BielakPolitechnika Lubelska Poland
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