Email: info@ijps.in | Mob: +91-9555269393

Submit Manuscript

Abstract

EMPLOYABILITY OF BIG DATA TOOLS AND TECHNIQUES IN ENHANCING THE EFFECTIVENESS OF ITS APPLICATION IN FINANCIAL SECTOR

Anika

Birla Institute of Management Technology

76 - 83
Vol. 10, Jul-Dec, 2020
Receiving Date: 2020-06-23
Acceptance Date: 2020-08-14
Publication Date: 2020-09-04
Download PDF
Abstract

Recent global development has been marked by the widespread introduction of information and communication technologies across all economic growth sectors. The adoption of digital technologies has become explosive, leading to the emergence of the term "digital economy," which reflects the integration of cutting-edge digital technologies in various global economic sectors. Today, digital transformation permeates nearly all areas of economic development, such as Industry 4.0 in manufacturing and Fintech in finance. Key breakthrough technologies driving this digital transformation include cloud computing, cyber-physical systems, artificial intelligence, and big data analytics. Financial institutions, as key market players, play a crucial role in the big data market. This paper examines the technologies and techniques employed in big data processing, explores the future development within significant data sectors, and investigates the big data market across various economic sectors, identifying leading players in the field. It also focuses on utilizing big data in financial institutions, analyzing financial indicators and market growth dynamics. Additionally, the paper addresses the main challenges hindering big data adoption in financial institutions and provides forecasts for the future development of big data usage in the financial sector.


Keywords: big data; digital economy; financial sector


References
  1. D. Bollier and C. M. Firestone, The promise and peril of big data. Washington, DC: Aspen Institute, Communications and Society Program, 2010.
  2. T.M. Choi, K. C. Hing and Y. Xiaohang, 'Recent development in big data analytics for business operations and risk management.' IEEE transactions on cybernetics 47.1, 2017: pp. 81-92.
  3. P. Grover, A. K. Kar, Big data analytics: a review on theoretical contributions and tools used in literature; Global Journal of Flexible Systems Management, 2017, Vol. 18, №. 3, pp. 203-229.
  4. F. Kache, S. Seuring, Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management; International Journal of Operations & Production Management, 2017, Vol. 37, №. 1, pp. 10-36.
  5. Y. Klochkov, A. Gazizulina, M. Ostapenko, E. Eskina and N. Vlasova, “Classifiers of nonconformities in norms and requirements,” 2016 5th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2016: Trends and Future Directions, 7784933, 2016, pp. 96-99.
  6. H. Watson, R. L. Finn, K. Wadhwa, Organizational and societal impacts of big data in crisis management; Journal of Contingencies and Crisis Management, 2017, Vol. 25, №. 1, pp. 15-22.
  7. L. Belcastro, et al, Big data analysis on clouds; Handbook of Big Data Technologies, Springer, Cham, 2017, pp. 101-142.
  8. A.V. Bataev, D.G. Rodionov, D.A. Andreyeva, Analysis of world trends in the field of cloud technology International Conference on Information Networking, 2018
  9. D. Nunan, M. Di Domenico, Big data: a normal accident waiting to happen?; Journal of Business Ethics, 2017, Vol. 145, №. 3, pp. 481-491.
  10. K. Wang, et al, Wireless big data computing in smart grid; IEEE Wireless Communications, 2017, Vol. 24, №. 2, pp. 58-64.
  11. C. Stergiou, K. E. Psannis, Recent advances delivered by Mobile Cloud Computing and Internet of Things for Big Data applications: a survey; International Journal of Network Management. – 2017. – Vol. 27. – №.3.
  12. A.V. Bataev, Economic efficiency estimation for automated banking systems outsourcing; Actual Problems of Economics, 2015
  13. C. Thota, et al, Big data security framework for distributed cloud data centers; Cyber Security and Threats: Concepts, Methodologies, Tools, and Applications, IGI Global, 2018, pp. 589-607.
  14. Y. Klochkov, et al, Model of database design in the conditions of limited resources; Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2016 5th International Conference on. – IEEE, 2016, pp. 64-66.
  15. A. V. Bataev, Analysis of the use of cloud services and assessment the possibilities of introducing in Russian financial institutions, Proceedings of the 29th International Business Information Management Association Conference - Education Excellence and Innovation Management through Vision 2020: From Regional Development Sustainability to Global Economic Growth, 2017
  16. K. Gai, M. Qiu, X. Sun, A survey on FinTech; Journal of Network and Computer Applications, 2017.
  17. M. Sookhak, et al, Dynamic remote data auditing for securing big data storage in cloud computing; Information Sciences, 2017, Vol. 380, pp. 101-116.
  18. I.A. Rudskaya, D.G. Rodionov, Comprehensive evaluation of Russian regional innovation system performance using a two-stage econometric model, Espacios, 2018
  19. C. Yang, et al, Big Data and cloud computing: innovation opportunities and challenges; International Journal of Digital Earth, 2017, Vol. 10, №.1, pp. 13-53.
Back

alexistogel toto online

bandar alexistogel

alexistogel bandar gacor

alexistogel link

alexistogel online

alexistogel bandar togel

link alternatif alexistogel

alexistogel

alexistogel

alexistogel

alexistogel daftar

alexistogel toto macau

alexistogel bandar macau

alexistogel slot

alexistogel agen slot

situs alexistogel

alexistogel

alexistogel

alexistogel

alexistogel

alexistogel bandar slot

alexistogel

Alexistogel Toto Macau

bandar alexistogel

slot alexistogel

alexistogel bandar togel

alexistogel

alexistogel slot

alexistogel

daftar alexistogel

alexistogel online

rtp alexistogel

alexistogel slot

alexistogel gacor

link alternatif alexistogel

alexistogel login

alexistogel

alexistogel slot dana

agen togel online

bandar togel online

alexistogel rtp

alexistogel slot

alexistogel daftar

slot online dana

situs slot online

alexistogel

bandar togel online

slot online terpercaya

togel slot online

agen slot online gacor

rtp live slot online

bandar slot online

bandar slot online gacor

agen slot online

daftar bandar togel slot

bandar togel online

togel slot hari ini

link alternatif togel slot

rtp slot online gacor

slot online gacor

alexistogel terpercaya

rtp slot gacor

tips slot maxwin

togel slot gacor

prediksi togel

game slot gacor

trik slot online

prediksi togel jitu

daftar togel slot online

slot online gacor

trik slot bonus

prediksi togel

RTP LIVE

Bandar Toto Macau

Situs Slot Gacor

bandarbola855 resmi

bandarbola855 gacor

bandarbola855 slot

link bandarbola855

bandarbola855 rtp

bandarbola855 link

bandarbola855 bandar

bandarbola855

bandarbola855 slot

bandarbola855 terpercaya

bandarbola855 slot

bandarbola855 daftar

bandarbola855 link

bandarbola855

bandarbola855

bandarbola855

iosbet

iosbet

link iosbet

slot online iosbet

iosbet link login

slot iosbet

iosbet gacor

iosbet

slot iosbet

agen iosbet

bandar iosbet

iosbet

iosbet link

iosbet

iosbet

iosbet

iosbet

liatogel

login liatogel

liatogel totomacau

Slot Gacor

alexistogel alexistogel