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Business Intelligence in cloud

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Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Business Intelligence w chmurze
Języki publikacji
EN
Abstrakty
EN
The paper reviews and critiques current research on Business Intelligence (BI) in cloud. This review highlights that organizations face various challenges using BI cloud. The research objectives for this study are a conceptualization of the BI cloud issue, as well as an investigation of some benefits and risks from BI cloud. The study was based mainly on a critical analysis of literature and some reports on BI cloud using. The results of this research can be used by IT and business leaders as they plan and develop BI cloud in their organizations.
PL
W artykule dokonano krytycznego przeglądu i analizy literatury przedmiotu na temat Business Intelligence w chmurze (cloud computing). Zwrócono uwagę, że organizacje, które decydują się na przetwarzanie w chmurze stają przed różnymi wyzwaniami i problemami. Celem opracowania jest konceptualizacja zagadnienia BI w chmurze, jak również zbadanie korzyści oraz niebezpieczeństw wynikających ze stosowania przetwarzania w chmurze. Badania przeprowadzono w oparciu o krytyczną analizę literatury przedmiotu oraz raporty firm analitycznych. Uzyskane wyniki badań mogą okazać się użyteczne dla specjalistów IT i menedżerów, planujących w swoich organizacjach rozwój przetwarzania w chmurze.
Rocznik
Strony
115--125
Opis fizyczny
Bibliogr. 38 poz., tab.
Twórcy
autor
  • University of Economics in Katowice, Business Informatics Department
Bibliografia
  • • About Cloud Computing, http://ec.europa.eu/digital-agenda/about-cloud-computing; Access on: April 2014.
  • • Al-Shubiri F.N., 2012, Measuring the impact of Business Intelligence on Performance: an empirical study, “Polish Journal of Management Studies”, 6.
  • • Armbrust M., Fox A., Griffith R., Joseph A.D., Katz R.H., Konwinski A., Lee G., Petterson D.A., Rabkin A., Stoica I., Zaharia M., 2010, A view of cloud computing, “Communications of the ACM”, 53(4).
  • • Avanade, 2009 Global Survey of Cloud Computing, http://avanade.dk/_uploaded/pdf/avanadethoughtleadershipcloudsurveyexecutivesummary833173.pdf; Access on: March 2010.
  • • Baars H., Kemper H.G., 2007, Business Intelligence in the Cloud? Paper presented at the PACIS 2010.
  • • Becerra-Fernandez I., Cousins K., Weber R., Nomamdic, 2007, Context-Aware Knowledge Systems: Applications, Challenges, and Research problems, “International Journal of Mobile Learning and Organization”, 1(2).
  • • Chen H., Chiang R.H.L, Storey V.C., 2012, Business Intelligence and analytics: from Big data to big impact, “MIS Quarterly”, 36(4).
  • • Cloud Security Alliance, Top Threats to Cloud Computing, https://cloudsecurityalliance.org/topthreats/csathreats.v1.0.pdf; Access on: March, 2010.
  • • Darrow B., Companies get SaaS-y with BI. GigaOM, http://gigaom.com.cloud/companiesget-saas-y-with-business-intelligence; Access on: May 2012.
  • • Daugherty P., Raj S., Cloud Computing and software as a Service, http://www.accenture.com/cloud; Access on: April 2008.
  • • Davenport T. H., Harris J. G., Morison R., 2010, Analytics at Work: Smarter Decisions, Better Results, Harvard Business Press, Cambridge.
  • • Deshpande M., Joshi S., Incorporating Business Intelligence in the Cloud, http://www.beye-network.com/view/11143; Access on: May 2014.
  • • Dimensional Research, Survey June 2012, http://www.hostanalytics.com/sites/default/files/HostAnalytics_CIO-v4.pdf; Access on: December 2012.
  • • Gartner Magic Quadrant for Business Intelligence Platforms, http://www.gartner.com/technology/reprints.do?id=1-1982NPD&ct=120208&st=sb; Access on: September 2012.
  • • Gartner, http:///www.gartner.com/it/page.jsp?id=707508; Access on: November 2013.
  • • Gurjar Y.S., Rathore V.S., 2013, Cloud Business Intelligence – is what Business need today, “International Journal of Recent Technology and Engineering”, 1(6).
  • • Hayes B., 2008, Cloud computing, “Communication of the ACM”, 51(7).
  • • Gartner, http://www.gartner.com/newsroom/id/1903814.
  • • ISACA, 2009, Cloud Computing: Business Benefits with Security, Governance and Assurance Perspectives.
  • • LaValle S., 2009, Business analytics and optimization for the intelligent enterprise, IBM Institute for Business Value, IBM Global Services, Route 100, Somers, New York.
  • • Li H., Spence C., Armstrong R., Godfrey R., Schneider R., Smith J., White J., Intel Cloud Computing Taxonomy and Ecosystem Analysis, http://download.intel.com/it/pdf/Cloud_Compute_Taxonomy.pdf; Access on: April 2010.
  • • Malcolm D., 2009, The five defining characteristics of cloud computing, ZDNet, http://news.zdnet.com/2100-9595_22-287001.html; Access on: August 2009.
  • • Menon L., Rehani B., Business Intelligence on the Cloud – Overview and use case, http://www.tcs.com/SiteCollectionDocuments/White%20Papers/HighTech_Whitepaper_Business_Intelligence_Cloud_0412-1.pdf; Access on: April 2014.
  • • Moss L.T., Atre S., 2003, Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications, Pearson Education.
  • • Negash S., Gray P., 2008, Business Intelligence, [In:] F. Burstein, C.W. Holsapple (Eds.), Decision Support Systems, Springer, Berlin.
  • • Olszak C. M., 2013, Assessment of Business Intelligence Maturity in the Selected Organizations, [In:] M. Ganzha, L. Maciaszek, M. Paprzycki (Eds.), “Annals for Computer Science and Information Systems”, 1.
  • • Ouf S., Nasr M., 2011, The Cloud Computing: the Future of BI in the Cloud, “International Journal of Computer Theory and Engineering”, 3(6).
  • • Peter M., Timothy G., 2011, The NIST Definition of Cloud Computing, National Institute of Standards and Technology, Special Publication 800-145, Geithersburg.
  • • Petty C., Goasduff L., 2012, Gartner says nearly on third organizations use or plan to use cloud offering to augment business intelligence capabilities, http://www.gartner.com./it/page.jsp?id=1903814; Access on: May 2012.
  • • Prashad R., Business Intelligence in Cloud, http://ers.hclblogs.com/2011/01/businessintelligence-in-cloud/; Access on: January 2012.
  • • Ramesh K., BI Solutions on Cloud – SOaaS Model, http://www.mahindrasatyam.com/corporate/documents/BI_SaaS_Whitepaper.pdf; Access on: 2013.
  • • Taths D., Cloud Computing: Public sector Opportunities Emerge, http://www.govtech.com/gt/387269, Access on: March 2013.
  • • Sabherwal R., Becerra-Fernandez I., 2011, Business Intelligence, Practices, Technologies, and Management, John Wiley & Sons, Inc., Hobkon, NJ.
  • • Tamer Ch., Kiley M., Ashrafi N., Kuilbar J., 2013, Risk and benefits of Business Intelligence in the Cloud, Northeast Decision Sciences Institute Annual Meeting Proceedings.
  • • Thomoson W.J.J., van der Walt J., Business intelligence in the cloud, http://www.sajim.co.za; Access on: May 2010.
  • • Williams S., Williams N., 2007, The Profit Impact of Business Intelligence, Morgan Kaufmann, San Francisco.
  • • Wisdom of Crowds Cloud Business Intelligence, 2012, http://www.articlesbase.com/software-articles/key-drivers-for-business-intelligence-making-the-move-to-the-cloud-6354376.html; Access on: June 2012.
  • • Wixom B.H., Watson H.J., 2010, The BI-based organization, “International Journal of Business Intelligence Research”, 1.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fe7a1044-ff3d-4ca9-aa57-ccdca425eea1
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