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The Opportunities and Challenges Connected with Implementation of the Big Data Concept

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Advances in ICT for Business, Industry and Public Sector

Part of the book series: Studies in Computational Intelligence ((SCI,volume 579))

Abstract

This paper is devoted to the analysis of the Big Data phenomenon and the opportunities and challenges connected with it. It is composed of seven parts. In the first, a general overview of the situation related to the transformation of the economy from the industrial into the post-industrial one is given. In this context, the growing role of data and information as well as the rapid increase in the new socio-economical realities and the notion of Big Data are discussed. In the next section, the notion of Big Data is defined and the main sources of growth of data are characterized. In the following part of the paper the most significant opportunities and possibilities linked with Big Data are presented and discussed. The next part is devoted to the characterization of tools, techniques and the most useful data in the context of Big Data initiatives. In the following part of the paper the success factors of Big Data initiatives are analyzed. The penultimate part of the paper is focused on the analysis of the most important problems and challenges connected with Big Data. In the final part of the paper, the most significant conclusions and suggestions are offered.

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References

  1. NewVantage Partners. New vantage big data executive survey 2013: Business adoption backs up the big data buzz. http://newvantage.com/wp-content/uploads/2013/09/NVP-Big-Data-Press-Release-090913.pdf (2013). Accessed 21 Oct 2013

  2. EMC Corporation. Even though 79% think big data will improve decision making, one-third have no big data plans. http://www.emc.com/about/news/press/2013/20131212-01.htm (2013). Accessed 15 Dec 2013

  3. Bednarz, A.: How today’s enterprises use Big Data. Network World. http://www.networkworld.com/news/2014/020514-big-data-278471.html (2014). Accessed 05 Feb 2014

  4. Hayashi, A.: Thriving in a big data world. Sloan Management Review. http://sloanreview.mit.edu/article/thriving-in-a-big-data-world (2012). Accessed 20 Dec 2012

  5. Brynjolfsson, E., McAfee, A.: Big data: The management revolution. Harv. Bus. Rev. 90, 60–68 (2012)

    Google Scholar 

  6. Davenport, T., Kim, J.: Keeping Up with the Quants. Harvard Business School Press, Boston (2013)

    Google Scholar 

  7. Leadership Council for Information Advantage. Big data: Big Opportunities to create business value. http://poland.emc.com/microsites/cio/articles/big-data-big-opportunities/LCIA-Bigdata-Opportunities-Value.pdf (2011). Accessed 23 Mar 2012

  8. NewVantage Partners. Big data executive survey: Themes & trends. http://newvantage.com/wp-content/uploads/2012/12/NVP-Big-Data-Survey-themes-trends.pdf (2012). Accessed 30 Dec 2012

  9. McKinsey Global Institute. Big data: The next frontier for innovation, competition, and productivity. http://www.mckinsey.com/mgi/publications/big_data/pdfs/MGI_big_data_full_report.pdf (2011). Accessed 21 Jun 2011

  10. Chui, M., et al.: The internet of things. McKinsey Quarterly. https://www.mckinseyquarterly.com/article_print.aspx?L2=4&L3=116&ar=2538 (2010). Accessed 17 Apr 2010

  11. Commission of the European communities. Internet of things-An action plan for Europe. http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2009:0278:FIN:EN:PDF (2009). Accessed 19 Mar 2013

  12. Bradley, J., et al.: Internet of everything: A 4.6 trillion public-sector opportunity. http://internetofeverything.cisco.com/sites/default/files/docs/en/ioe_publicsector_vas_white%20paper_121913final.pdf (2013). Accessed 12 Jan 2014

  13. Smith, C.: By the numbers 75 amazing facebook statistics. http://expandedramblings.com/index.php/by-the-numbers-17-amazing-facebook-stats/ (2014). Accessed 16 Jan 2014

  14. Twitter. About. https://about.twitter.com/company/ (2014). Accessed 16 Feb 2014

  15. YouTube. Statistics. http://www.youtube.com/yt/press/statistics.html (2014). Accessed 17 Feb 2014

  16. Ericsson. Ericsson Mobility Report. http://hugin.info/1061/R/1659597/537300.pdf (2012). Accessed 03 Dec 2012

  17. Lampitt, A.: Hadoop: Analysis at massive scale. InfoWorld. http://resources.idgenterprise.com/original/AST-0084522_IW_Big_Data_rerun_1_all_sm.pdf (2013). Accessed 04 Apr 2013

  18. Groves, P., et al.: The_big_data_revolution_in_healthcare: Accelerating value and innovation. McKinsey Quarterly. http://www.mckinsey.com/insights/health_systems/ /me-dia/7764A72F70184C8EA88D 805092D72D58.ashx (2013). Accessed 06 Feb 2013

  19. Capgemini. The deciding factor: Big data & decision making. http://www.capgemini.com/insights-and-resources/by-publication/the-deciding-factor-big-data-decision-making/?d=6C800B16-E3AB-BC55-00F4-5411F5DC6A8C (2012). Accessed 09 Mar 2012

  20. NewVantage Partners. Big data executive survey: Creating a big data environment to accelerate business value. http://newvantage.com/wp-content/uploads/2012/12/NVP-Big-Data-Survey-Accelerate-Business-Value.pdf (2012). Accessed 30 Dec 2012

  21. Olavsrud, T.: How to use big data to make faster and better business decisions. Computerworld. http://www.computerworld.com/s/article/print/9235604/How_to_Use_Big_Data_to_Make_Faster_and_Better_Business_Decisions?taxonomyNa (2013). Accessed 11 Jan 2013

  22. Bughin, J., et al.: Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Quarterly. https://www.mckinseyquarterly.com/article_print.aspx?L2=20&L3=75&ar=2647 (2010). Accessed 01 Sep 2010

  23. Ferguson, R., et al.: From value to vision: Reimaging the possible with data analytics. Research Report. Sloan Management Review. http://bf6837e6b8471f0219c29a1c5d9301ad213e0e491b46094b7800.r64.cf2.rackcdn.com/MITSMR-SAS-Data-AnalyticsReport-2013.pdf (2013). Accessed 01 Sep 2013

  24. Rosenzweig, P.: The benefits-and limits-of decision models. McKinsey Quarterly. http://www.mckinsey.com/insights/strategy/the_benefits_and_limits_of_decision_models (2014)

  25. Walmartlabs. Big data platform and demand generation. http://www.walmartlabs.com/platform/ (2013). Accessed 30 Apr 2013

  26. King, J.: How analytics helped Ford turn its fortunes. Computerworld. http://www.computerworld.com/s/article/9244363/How_analytics_helped_Ford_turn_its_fortunes (2013). Accessed 02 Dec 2013

  27. Harrysson, M., et al.: How ‘social intelligence’ can guide decisions. McKinsey Quarterly.https://www.mckinseyquarterly.com/article_print.aspx?L2=21&L3=37&ar=3031 (2012). Accessed 03 Dec 2012

  28. Harrysson, M., et al.: The strength of ‘weak signals’. McKinsey Quarterly, http://www.mckinsey.com/Insights/High_Tech_Telecoms_Internet/The_strength_of_weak_signals (2014). Accessed 06 March 2014

  29. Duhigg, C., How companies learn your secrets. The New York Times. http://www.nytimes.com/2012/02/19/magazine/shoppinghabits.html?pagewanted=all_r=0 (2012). Accessed 20 Feb 2012

  30. Hill, K.: How target figured out a teen girl was pregnant before her father did. Forbes.http://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/ (2012). Accessed 20 Feb 2012

  31. Marketo. The definitive guide to marketing automation. http://www.marketo.com/_assets/uploads/The-Definitive-Guide-to-Marketing-Automation.pdf (2013). Accessed 29 Dec 2013

  32. Kpka, M.: Audioteka: Marketing Automation wybrany do obsługi tzw. Big Data. http://www.internetstandard.pl/news/388687/Audioteka. Marketing. Automation. wybrany.do. obslugi.tzw.Big.Data.html (2013). Accessed 27 Feb 2013

  33. Kirk, J.: Google’s Gmail scanning unclear to users, judge finds. Computerworld. http://www.computerworld.com/s/article/9242748/Google_s_Gmail_scanning_unclear_to_users_judge_finds (2013). Accessed 27 Sep 2013

  34. Rushe, D.: Google: don’t expect privacy when sending to Gmail. The Guardian. http://www.theguardian.com/technology/2013/aug/14/google-gmail-users-privacy-email-lawsuit/ (2013). Accessed 15 August 2013

  35. Cutter, A.: People analytics: Big data hits hiring. ClickZ. http://www.clickz.com/print_article/clickz/column/2325600/-people-analytics-big-data-hits-hiring (2014). Accessed 20 Jan 2014

  36. Peck, D.: They’re watching you at work. The Atlantic. http://www.theatlantic.com/magazine/archive/2013/12/theyre-watching-you-at-work/354681/ (2013). Accessed 20 Nov 2013

  37. Garvin, D.: How Google sold its engineers on management. Harv. Bus. Rev. 91, 74–82 (2013)

    Google Scholar 

  38. Sullivan, J.: How Google is using people analytics to completely reinvent HR. TLNT. http://www.tlnt.com/2013/02/26/how-google-is-using-people-analytics-to-completely-reinvent-hr/ (2013). Accessed 26 Feb 2013

  39. Brynjolfsson, E., et al.: Strength in numbers: How does data-driven decisionmaking affect firm performance?. http://ssrn.com/abstract=1819486 (2011). Accessed 03 Feb 2012

  40. Davenport, T., Harris, J.: Competing on Analytics. Harvard Business School Press, Boston (2007)

    Google Scholar 

  41. Davenport, T., Patil, D.: Data scientist: The sexiest job of the 21st century. Harv. Bus. Rev. 90, 70–76 (2012)

    Google Scholar 

  42. Barth, P., et al.: How big data is different. Sloan Management Review. Fall, pp. 21–24 (2012).

    Google Scholar 

  43. Davis, K., Patterson, D.: Ethics of Big Data. O’Reilly Media, Sebastopol (2012)

    Google Scholar 

  44. Ferguson, R.: It’s all about the platform: What walmart and google have in common. Sloan Management Review. http://sloanreview.mit.edu/article/its-all-about-the-platform-what-walmart-and-google-have-in-common/ (2012). Accessed 05 Dec 2012

  45. eMarketer. What do marketers want from big data?. http://www.emarketer.com/Articles/Print.aspx?R=1009798 (2013). Accessed 10 Apr 2013

  46. Ferguson, R.: Better decisions with smarter data. Sloan Management Review. http://sloanreview.mit.edu/article/better-decisions-with-smarter-data/ (2014). Accessed 21 Feb 2014

  47. Marchand, D., Peppard, J.: Why IT fumbles analytics. Harv. Bus. Rev. pp. 104–113 (2013).

    Google Scholar 

  48. Barton, D., Court, D.: Making advanced analytics work for you. Harv. Bus. Rev. 90, 78–83 (2012)

    Google Scholar 

  49. Biesdorf, S., et al.: Big data: What’s your plan? McKinsey Quarterly. http://www.mckinsey.com/insights/business_technology/big_data_whats_your_plan?p=1 (2013). Accessed 01 Apr 2013

  50. SAS. Data visualization: Making big data approachable and valuable. http://www.findwhitepapers.com/force-download.php?id=25943 (2012). Accessed 01 Sep 2012

  51. Kemp Little LLP. Big Data - Legal Rights and Obligations. http://www.kemplittle.com/Publications/WhitePapers/Big%20Data%20-%20Legal%20Rights%20and%20Obligations%202013.pdf (2013). Accessed 07 Apr 2013

  52. Ferguson, R.: Competitive advantage with data? Maybe ... Maybe Not”. Sloan Management Review. http://sloanreview.mit.edu/article/competitive-advantage-with-data-maybe-maybe-not/?utm_source=facebook&utm_medium=social&utm_campaig (2013). Accessed 26 Mar 2013

  53. Security for Business Innovation Council. Information security shake-up. http://www.emc.com/collateral/industry-overview/h11391-rpt-information-security-shake-up.pdf (2012). Accessed 05 Jan 2013

  54. Wielki, J.: Modele wpływu przestrzeni elektronicznej na organizacje gospodarcze Wydawnictwo Uniwersytetu Ekonomicznego, Wrocław (2012).

    Google Scholar 

  55. Parasuraman, K.: How big data and analytics are transforming in-store experience for retailers. ClickZ. http://www.clickz.com/clickz/column/2260001/how-big-data-and-analytics-are-transforming-instore-experience-for-retailers (2013). Accessed 09 Apr 2013

  56. Kroft, S.: The Data Brokers: Selling your personal information. CBSNews. http://www.cbsnews.com/news/the-data-brokers-selling-your-personal-information/ (2014). Accessed 09 Mar 2014

  57. World Economic Forum. Rethinking personal data: strengthening trust. http://www3.weforum.org/docs/WEF_IT_RethinkingPersonalData_Report_2012.pdf (2012). Accessed 29 Dec 2012

  58. D Angwin, J., Valentino-Devries, J.: Google’s iPhone tracking. The Wall Street Journal (2012). Accessed 18 Feb 2012.

    Google Scholar 

  59. Rushton, K., Trotman, A.: Facebook mined private messages to advertisers, lawsuit claims. The Telegraph. http://www.telegraph.co.uk/technology/facebook/10548196/Facebook-mined-private-messages-to-advertisers-lawsuit-claims.htm (2014). Accessed 02 Jan 2014

  60. Brown, B., et al.: Views from the front lines of the data-analytics revolution. McKinsey Quarterly. http://www.mckinsey.com/Insights/Business_Technology/Views_from_the_front_lines_of_the_data_analytics_revolution?cid=other-eml-alt-mkq-m (2014). Accesses 14 Jan 2014

  61. Wielki, J.: Consumers in the marketspace - the ethical aspects of electronic commerce. In: Bynum, T., et al. (eds.) Proceedings of the Fifth International Conference on the Social and Ethical Impacts of Information and Communication Technologies, vol. 2, pp. 259–268. Wydawnictwo Mikom, Gdańsk (2001)

    Google Scholar 

  62. Jones, R.: Barclays to sell customer data. The Guardian. http://www.theguardian.com/business/2013/jun/24/barclays-bank-sell-customer-data (2013). Accessed 25 June 2013

  63. National Intelligence Council. Global trends 2030: Alternative worlds. http://globaltrends2030.files.wordpress.com/2012/11/global-trends-2030-november2012.pdf (2012). Accessed 03 Jan 2013

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Authors and Affiliations

  1. Faculty of Economics and Management, Opole University of Technology, Ul. Bielska 32/7, 45-401, Opole, Poland

    Janusz Wielki

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  1. Janusz Wielki
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Correspondence to Janusz Wielki .

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  1. Katowice University of Economics, Katowice, Poland

    Maria Mach-Król

  2. Katowice University of Economics, Katowice, Poland

    Celina M. Olszak

  3. AGH University of Mining and Metallurgy, Kraków, Poland

    Tomasz Pełech-Pilichowski

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Wielki, J. (2015). The Opportunities and Challenges Connected with Implementation of the Big Data Concept. In: Mach-Król, M., M. Olszak, C., Pełech-Pilichowski, T. (eds) Advances in ICT for Business, Industry and Public Sector. Studies in Computational Intelligence, vol 579. Springer, Cham. https://doi.org/10.1007/978-3-319-11328-9_11

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  • DOI: https://doi.org/10.1007/978-3-319-11328-9_11

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