The Digital Economy's Use of Big Data
DOI:
https://doi.org/10.33050/italic.v1i1.167Keywords:
Big Data technology, Data Science, Digital Economy, Digital Transformation, Artificial IntelligenceAbstract
The function of Big Data technology and Data Science in the contemporary digital economy is examined in this article. According to the author, large and medium-sized businesses in the retail and service sectors have a greater interest in utilizing them. Banks, mobile operators, and major manufacturing firms actively employ these technologies (Artificial Intelligence) to evaluate data on equipment failures and minimize downtime, which enables cost-reduction. Big Data technology serves as a liquid product and a prerequisite for boosting business profitability through individualized customer care and predictive analytics. It is crucial to ensure the formation of unique data exchanges and legalize a single definition of big data for the modern digital economy.
References
Gobareva, Y. L., Gorodetskaya, O. Yu., & Kochanova, E. R. (2015). Features of Big Data technology to improve the quality of operation of CRM-systems. Transport business in Russia, 5, 62-63.
Baburin, V. A., & Janenko, M. E. (2014). Big Data technologies in service: new markets, opportunities
and challenges. Technical and technological problems of service,1(27), 100-105.
Maltseva, S. V., & Lazarev, V. V. (2015). Big Data E- Marketing Marketing Analytics. Information Technologies in Design and Production, 21, 62–67.
Suleikin, A. S. (2015). Possibilities of using Big Datatechnology in large retail. European Research, 10(11),77-79.
Munoz, M. (2013, November). Space systems modeling using the Architecture Analysis & Design Language (AADL). In 2013 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) (pp. 97-98). IEEE.
Herodotou, H., Lim, H., Luo, G., Borisov, N., Dong, L., Cetin, F. B., & Babu, S. (2011). Starfish: A Self-tuning System for Big Data Analytics. CIDR. Fifth Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, 11, 261–272.
Michalik, P., Štofa, J., & Zolotova, I. (2014, January). Concept definition for Big Data architecture in the
education system. In 2014 IEEE 12th International Symposium on Applied Machine Intelligence and
Informatics (SAMI) (pp. 331-334). IEEE.
Bulgakov, A. (2017). Big Data в финансах (Big Data in Finance). Journal of Corporate FinancenResearch, 11(1), 7-15.
Saltz, J. S., & Grady, N. W. (2017, December). The ambiguity of data science team roles and the need for
a data science workforce framework. In 2017 IEEE International Conference on Big Data (Big Data)
(pp.2355-2361). IEEE.
Avdeeva, I. L., Polyanin, A. V., & Golovina, T. A. (2019). Digitalization of industrial economic systems:
problems and consequences of modern technologies. Economy. Control. Law, 19(3), 238-245.
Hu, V. V., & Kaabouch, N. (2014). Big Data Management, Technologies, and Applications. Hershey: IGI Global.
Ivashchenko, A. V., & Dvoinina, O. V. (2014). Analysis of super-large data arrays (Big Data) in
a single information space of a research and production enterprise. Science and World, 12(16), 44-47.
Ia, T. V. (2014). Natural and artificial information field. Mezhdunarodnyi zhurnal prikladnykh
i fundamental'nykh issledovanii-International journal of applied and fundamental research, 5(2), 178-180.
Bayliss, D. (2016). Models for Big Data. In Big Data Technologies and Applications (pp. 237-255).
Springer, Cham.
Golov, N. I., & Kravchenko, T. K. (2014). Designing a data warehouse to solve Big Data problems.
Information Technology in Design and Production, 1(153), 56-61.
Jacobs, A. (2009). The pathologies of big data. Queue, 7(6), 10-19.
Tsvetkov, V. Y. (2014). Worldview Model as the Result of Education. World Applied Sciences Journal, 31(2), 211-215.
Chernyak, L. (2011). Big data: a new theory and practice. Open systems. SUBD, 10.
Denisov, L. V., Boitsov, A. G., & Siluyanova, M. V. (2018). Surface Hardening in Hydraulic Cylinders for
Airplane Engines. Russian Engineering Research, 38(12), 1080-1083.
Sorokin, A. E., Bulychev, S. N., Novikov, S. V., & Gorbachev, S. I. (2019). Information Science in
Occupational Safety Management. Russian Engineering Research, 39(4), 324-329.
Chekharin, E. E. (2016). Big data: big problems. Prospects for Science and Education, 3(21), 7-11.
Rahardja, U., Lutfiani, N., & Amelia, S. (2019). Creative Content Marketing In Scientific Publication Management In Industrial Era 4.0. APTISI Transactions on Management (ATM), 3(2), 168–177.
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Mochamad Wahyudi, Vivi Meilinda, Alfiah Khoirunisa
This work is licensed under a Creative Commons Attribution 4.0 International License.
