Big Data Analytics in the Management of Business

Open Access

Issue		MATEC Web Conf. Volume 125, 2017 21^st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017)


Article Number		04021
Number of page(s)		6
Section		Computers
DOI		https://doi.org/10.1051/matecconf/201712504021
Published online		04 October 2017

M. Beyer, Gartner says solving ‘big data’ challengeinvolves more than just managing volumes of data.(2011) http://www.gartner.com/it/page.jsp?id=1731916 [Google Scholar]
D. Jelonek, The problem of information overload inthe information society (in Polish), ZeszytyNaukowe Ekonomiczne Problemy UsługUniwersytet Szczeciński, T.1, 650 (2011) [Google Scholar]
J. Dong, Y. Qin, X.Y. Sun, L.M. Du, Research onImproved Collaborative Filtering RecommendationAlgorithm on MapReduce. In MATEC Web ofConferences, 63, p. 04018, EDP Sciences (2016) [EDP Sciences] [Google Scholar]
E. Brynjolfsson, L.M. Hitt, H.H. Kim, Strength innumbers: How does data-driven decisionmakingaffect firm performance? (2011) [Google Scholar]
F. Provost, T. Fawcett, Data science and itsrelationship to big data and data-driven decisionmaking, Big Data, 1(1) (2013) [Google Scholar]
T. Kraska, Finding the needle in the big datasystems haystack. IEEE Internet Comput 17 (2013) [Google Scholar]
A. Fernández, S. del Río, V. López, A. Bawakid, M.J. del Jesus, J.M. Benítez, F. Herrera, Big Datawith Cloud Computing: an insight on the computingenvironment, MapReduce, and programmingframeworks, Wiley Interdisciplinary Reviews: DataMining and Knowledge Discovery, 4(5) (2014) [Google Scholar]
J. Bloem, M. Van Doorn, S. Duivestein & E. vanOmmeren, Creating clarity with big data. SogetiVINT, (2012). [Google Scholar]
J. Wielki, Analysis of the possibilities of using bigdata in e-business (in Polish), Prace Naukowe/Uniwersytet Ekonomiczny w Katowicach (2014) [Google Scholar]
T. Davenport, P. Barth, R. Bean, How ‘Big Data’ is Different, MIT Sloan Management Review, 54(1)(2012) [Google Scholar]
Big Data. What it is and why it matters, http://www.sas.com/en_us/insights/big-data/what-is-big-data.html (10.01.2017) [Google Scholar]
A. McAfee, E. Brynjolfsson, T.H. Davenport, D.J. Patil, D. Barton, Big data. The managementrevolution. Harvard Bus Rev, 90(10) (2012) [Google Scholar]
IBM, Big Data at the Speed of Business, (2014)[Online]. Available: http://www.01.ibm.com/software/data/bigdata/. (12.01.2017). [Google Scholar]
S. Sagiroglu, D. Sinanc, Big data: A review. InCollaboration Technologies and Systems (CTS), 2013 International Conference on IEEE, (2013) [Google Scholar]
C. Eaton, D. Deroos, T. Deutsch, G. Lapis and P.C. Zikopoulos, Understanding Big Data: Analytics forEnterprise Class Hadoop and Streaming Data, McGraw-Hill Companies, 978–0–07–179053–6, (2012) [Google Scholar]
http://www.forbes.com/sites/teradata/2014/11/19/defining-big-data-in-two-words-who-cares (2017.01.22). [Google Scholar]
R. Gupta, H. Gupta, M. Mohania, Cloud computingand big data analytics: what is new from databasesperspective?, In: 1st International Conference onBig Data Analytics (BDA), New Delhi, India, (2012) [Google Scholar]
M. Rouse, “Big data”, http://searchcloudcomputing.techtarget.com/definition/big-data-Big-Data, 2011. (2017.02.20) [Google Scholar]
I. Pawełoszek, J. Wieczorkowski, Big data as abusiness opportunity: an Educational Perspective, In: Computer Science and Information Systems(FedCSIS), 2015 Federated Conference on. IEEE, (2015) [Google Scholar]
S. LaValle, Big data, analytics and the path frominsights to value, MIT Sloan Management Review, (2011) http://sloanreview.mit.edu/article/big-data-analytics-and-the-pathfrom-insights-to-value/ (20.02.2017) [Google Scholar]
J. Liebowitz, Big data and business analytics, BocaRaton FL [etc.]: CRC Press: Taylor & FrancisGroup. (2013) [CrossRef] [Google Scholar]
T. Davenport, Big Data @ Work: Dispelling theMyths, Uncovering the Opportunities, HarvardBusiness School Press, Boston (2014) [Google Scholar]
V. Mayer-Schonberger, K. Cukier, Big Data. Revolution which will change the way we think, work and live (in Polish), MT Biznes, Warszawa(2014) [Google Scholar]
A. Chluski, L. Ziora, The role of big data solutionsin the management of organizations. Review ofselected practical examples, Procedia ComputerScience 65 (2015) [Google Scholar]
F. Provost, T. Fawcett, Data Science for Business:What you need to know about data mining and data-analytic thinking, O’Reilly Media, Inc. (2013) [Google Scholar]
Economist Intelligence Unit survey, September 2014 https://www.eiuperspectives.economist.com/sites/default/files/Whosbigonbigdata.pdf (2017.01.20) [Google Scholar]
B. Qing, J. Wang, J. Cheng, Research on OntologyModeling of Steel Manufacturing Process Based onBig Data Analysis, MATEC Web of Conferences, 45, EDP Sciences (2016) [Google Scholar]
B. Schmarzo, Big Data. Understanding how datapowers big businesses, Wiley (2013) [Google Scholar]
T. Davenport, J. Dyché, Big data in big companies,International Institute for Analytics (2013) [Google Scholar]
Computerworld Polska (2014). Raport Big data +,Systemy analityki wielkich zbiorów danych wpolskich organizacjach. Computerworld Polska. [Google Scholar]
D. Jelonek, C. Stępniak, T. Turek, L. Ziora,Identification of mental barriers in theimplementation of cloud computing in the SMEs in Poland, In Computer Science and InformationSystems (FedCSIS), 2014 Federated Conference on IEEE (2014) [Google Scholar]
http://searchbusinessanalytics.techtarget.com/definition/big-data-analytics (2017.02.10) [Google Scholar]

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