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PL EN


2015 | 4(38) | 55-63

Article title

BI and Big Data solutions in project management

Content

Title variants

PL
Wykorzystanie narzędzi klasy BI i systemów Big Data do zarządzania projektami

Languages of publication

PL EN

Abstracts

EN
The success of projects in enterprises and the success of an entire organization’s business largely depend on the possession and efficient use of the relevant information. In a broader context, success depends on having the adequate knowledge at the right time and place. Business processes generate large amount of data that are collected and processed in a way enabling transforming data into a measurable and useful value, which is information. Its efficient usage streamlines business processes, and allows to respond quickly to changes and proper decision-making. The aim of the paper is to present and define the project management challenges and ideas of Business Intelligence and Big Data systems. The types of analysis available in both platforms are also discussed. In the paper, the authors try to identify the areas of project management that can benefit from Business Intelligence and Big Data analysis.

Year

Issue

Pages

55-63

Physical description

Contributors

References

  • Bardzki W., 2015, Architektura systemu Business Intelligence – BI, http://www.bardzki.pl/index.php?mid=architektura_business_intelligence (26.06.2015).
  • Chen H., Chiang R.H., Storey V.C., 2012, Business Intelligence and analytics: From Big Data to big impact, MIS Quarterly, no. 36(4).
  • Gridwise, 2015, Analityka Big Data, http://gridwise.pl/pl/oferta/rozwiazania-klasy-big-data (29.06.2015).
  • Guide A., 2001, Project Management Body of Knowledge (PMBOK® GUIDE), Project Management Institute.
  • Kellner H., 2001, Die Kunst, IT-Projekte zum Erfolg zu fuehren. Ziele-Strategien-Teamleistungen, Hanser, Wien.
  • Kerzner H.R., 2013, Project Management: A Systems Approach to Planning, Scheduling, and Controlling, John Wiley & Sons.
  • Kohavi R., Rothleder N.J., Simoudis E., 2002, Emerging trends in business analytics, Communications of the ACM, no. 45(8).
  • Olszak C.M., Ziemba E. (eds.), 2012, Systemy inteligencji biznesowej jako przedmiot badań ekonomicznych, Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach, Katowice.
  • Pondel M., Pondel J., 2011, Czynniki powodzenia projektu informatycznego, Informatyka Ekonomiczna, nr 20, Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu, Wrocław.
  • Szyjewski Z., 2004, Metodyki zarządzania projektami informatycznymi, Placet, Warszawa.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-6b3242ae-949e-4d79-8ad2-74da604b06b3
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