• Ілона Владиславівна Петрик Львівський університет бізнесу та права https://orcid.org/0000-0002-2171-8180
Keywords: Big Data, Internet of Things, Supply Chain, CRM, ERP


Exploring what they find interesting is Big Data in Chain Management. The main steps in this supply chain are described. The use of big data in chains that delivered different economies is presented. Utilizing state-of-the-art technology, large-scale analytics allow the company to quickly obtain useful data about big structural and unstructured data from a variety of sources. Today's companies are faced with huge numbers of endless streams of data across a wide range of channels. Properly utilizing this data, you can realize a powerful competitive advantage by increasing your organization's supply chain efficiency. Big data is a dynamic, huge and disparate amount of information created by humans, tools and machines. It includes information collected from Internet-enabled devices via smartphones and tablets, such as social media, video and voice recordings, as well as the continuous storage and registration of structured and unstructured data from company internal software such as CRM, ERP and financial software. Combined with the latest analytics technology, big data allows companies to quickly gain useful insights from the vast amounts of structured and unstructured data from a variety of sources. For supply chain managers, this strategy can help to increase visibility and provide a deeper understanding of the entire supply chain. The established Internet attack played big data in chains. Utilizing large messages, this network of circuits places real reactions to unanticipated questions and reduces the results of all problems. You can also see the benefits in the areas of customer satisfaction and security. Data can substantially satisfy customer reliability, allowing authorities to choose the cheapest other shipping methods, using better controls, reducing potential leads and US overseas orders – all things that need to be considered in policy matters.


Хмелевський О.В., Тарасова Н. А. Інтеграційні перспективи промислових підпри-ємств України. URL: http://mev.khnu.km.ua/ load/2013/6_vpliv_mizhnarodnikh_vidnosin_na_ formuvannja_konkurentnikh_perevaiemstv/36-1-0-198. (дата звернення 25.02.2020)

Kłos M. Outsourcing w polskich przedsiębiorstwach. Warszawa: Wydawnictwo CeDeWu.pl, 2017. 214 p.

Lohr S. The Origins of ‘Big Data’: An Etymological Detective Story. New York:New York Times, 2013.URL: https://bits.blogs.nytimes.com/2013/02/01/the-origins-of-big-data-an-etymological-detective-story/. (дата звернення: 15.01.2020).

Markus L. Paradigm shifts -E-business and business/systems integration. Communications of the Association for Information Systems. 2017.no. 4. P. 97-107.

Mitchell S., Villa N., Stewart-Weeks M., Lange A. The Internet of Everything for Cities: Connecting People, Process, Data, and Things To Improve the 'Livability' of Cities and Communities. Cisco Systems. 2018. p. 44-56.

Tholons. URL: http://www.tholons.com /pages/featured_whitepapers_ articles.html. (дата звернення: 13.02.2020).

Petryk I. Principles of business process management in enterprises using outsourcing. Przedsiębiorczość i zarządzanie. Zarządzanie w dobie ograniczonego zaufania. Łódź-Warszawa: Wydawnictwo społecznej akademii nauk. 2016. Book XVII, paper 10, part 2. P. 53-68.

Witkowski J., Zarządzanie łańcuchem dostaw. Koncepcje, procedury, doświadczenia. Warszawa: Polskie Wydawnictwo Ekonomiczne, 2017. P. 69-75.

How to Cite
Петрик, І. (2020). ПЕРСПЕКТИВИ ВИКОРИСТАННЯ BIG DATA В УПРАВЛІННІ ЛАНЦЮГАМИ ПОСТАВОК. Scientific Notes of Lviv University of Business and Law, 24, 34-38. Retrieved from https://nzlubp.org.ua/index.php/journal/article/view/235