@misc{Filip_Dariusz_Big_2015, author={Filip, Dariusz}, copyright={Copyright by Wydawnictwo Uniwersytetu Wrocławskiego Sp. z o.o.}, address={Wrocław}, howpublished={online}, year={2015}, publisher={Wydawnictwo Uniwersytetu Wrocławskiego}, language={pol}, language={eng}, abstract={Big Data is an analytical tool which uses a large volume of data of various and complex structure;identifying, gathering, storing and transforming them as well as drawing appropriate conclusionsfor improving business activity requires certain skills. The process of finding non-obvious relations,mining hidden knowledge, creating visualization of results and business implementation by meansof new technologies is referred to as data analysis of large data sets. The efficient application of theresults from the advanced analyses in business models might help entities, including financial institutions, to adjust the offer to real and individual needs of the customer and thus to gain competitiveadvantage. The aim of the article is to systematize the terms and review the possibilities and scopeof methods related to data analysis of large volume as well as to refer to the challenges in the contextof Big Data enforcement}, title={Big Data — narzędzie instytucji finansowych w dotarciu do klienta}, keywords={Big Data, data analysis of large volume, 3Vs, financial institutions, competitive advantage}, }