Skip to main content

Application of Big Data with Fintech in Financial Services

  • Chapter
  • First Online:
Fintech with Artificial Intelligence, Big Data, and Blockchain

Abstract

Computing technologies perform a vital role in the transformation of contemporary financial services. The emergence of financial technology (fintech) in recent years has transformed different facets of the global financial industries, thus changing the way financial personnel lives, think, and work. The fintech similarly had developed numerous technologies to advance the industry. These developments focused on the advancement of financial segments through the use of big data, cloud computing, the Internet of Things, artificial intelligence, and blockchain, for better transaction and security. Big data has seen a substantial adjustment in approaches to gather, demonstrate, and appraise information. How to use the data to develop new business models has attracted considerable attention, and recent technological advances have allowed us to produce data much faster than ever. Big data analytics is the modeling of big data to discover useful information and patterns, thereby communicating the same to support decision making and suggest conclusions. Big data can be processed, accumulated, and accumulated in the financial industries through rapidly evolving fields of big data analytics, thus enabling the understanding, rationalization, and use of big data for different purposes. Therefore, this chapter discusses the concept of big data for guaranteeing better expansion and research toward fintech. The chapter likewise will examine how large-volume financial rights data can greatly help clarify and elucidate fintech patterns. The chapter will also make an effort to convey various benefits that financial industries can make by using fintech with big data technology. The hope of using fintech with big data in financial services will have a great impact on the quality of financial transactions that can be delivered to financial sectors across socioeconomic and geographic boundaries.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Liu Y, Peng J, Yu Z (2018) Big data platform architecture under the background of financial technology: in the insurance industry as an example. In: Proceedings of the 2018 international conference on big data engineering and technology, pp 31–35

    Google Scholar 

  2. Alt R, Beck R, Smits MT (2018) FinTech and the transformation of the financial industry

    Google Scholar 

  3. Davis K, Maddock R, Foo M (2017) Catching up with Indonesia’s FinTech industry. Law Financ Mark Rev 11(1):33–40

    Article  Google Scholar 

  4. Gomber P, Koch JA, Siering M (2017) Digital finance and FinTech: current research and future research directions. J Bus Econ 87(5):537–580

    Google Scholar 

  5. Arner DW, Buckley RP, Zetzsche DA, Veidt R (2020) Sustainability, FinTech, and financial inclusion. Eur Bus Organ Law Rev 1–29

    Google Scholar 

  6. Lee MR, Yen DC, Hurlburt GF (2018) Financial technologies and applications. IT Prof 20(2):27–33

    Article  Google Scholar 

  7. Hamelink CJ (2019) The politics of global communication. Global communication: a multicultural perspective, 72

    Google Scholar 

  8. Skan J, Dickerson J, Masood S (2015) The future of FinTech and banking: digitally disrupted or reimagined. Accenture, London

    Google Scholar 

  9. Singapurwoko A (2019) Do financial technology startups disrupt the business and performance of financial institutions in Indonesia? Int J Bus Manag 9(1):67–81

    Google Scholar 

  10. Yaqoob I, Hashem IAT, Gani A, Mokhtar S, Ahmed E, Anuar NB, Vasilakos AV (2016) Big data: from beginning to the future. Int J Inf Manag 36(6):1231–1247

    Article  Google Scholar 

  11. Parambil P, Simon TC (2019) Financial technology (Fin-Tech): opportunities and challenges. ZENITH Int J Multi Res 9(2):249–264

    Google Scholar 

  12. Nicoletti B, Nicoletti, Weis (2017) Future of FinTech. Palgrave Macmillan, Basingstoke, UK

    Google Scholar 

  13. Williams L (2019) Data DNA and diamonds. Eng Technol 14(3):62–65

    Article  Google Scholar 

  14. Gupta S, Mateu J, Degbelo A, Pebesma E (2018) Quality of life, big data, and the power of statistics. Stat Probab Lett 136:101–104

    Article  MathSciNet  Google Scholar 

  15. Peroni D, Imani M, Nejatollahi H, Dutt N, Rosing T (2020) Data reuse for accelerated approximate warps. IEEE Trans Comput Aided Design Integr Circuits Syst

    Google Scholar 

  16. Maino MR, Massara MA, Saiz HP, Sharma P, Sy MAN (2019) FinTech in Sub-Saharan African countries: a game changer? International Monetary Fund

    Google Scholar 

  17. Krstić B (2017) The tourism industry and national competitiveness: a Sub-saharan Africa countries perspective. J Econo Theory Pract Soc Issues 1:1–17

    MathSciNet  Google Scholar 

  18. Schwab K (2018) The global competitiveness report 2018. In the World economic forum, pp 9–14

    Google Scholar 

  19. Yermack D (2018) FinTech in Sub-Saharan Africa: what has worked well, and what hasn’t (No. w25007). National Bureau of Economic Research

    Google Scholar 

  20. Redford DT, Wolf C (2017) High-impact entrepreneurship and its importance in Sub-Saharan Africa. Developing Africa’s financial services: the importance of high-impact entrepreneurship, 43

    Google Scholar 

  21. McCaffrey M, Schiff A (2017) Inclusion to FinTech: FinTech product development for low-income markets. Available at SSRN 3034175

    Google Scholar 

  22. Ozili PK (2018) Impact of digital finance on financial inclusion and stability. Borsa Istanbul Rev 18(4):329–340

    Article  Google Scholar 

  23. Shofawati A (2019) The role of digital finance to strengthen financial inclusion and the growth of SME in Indonesia. KnE Soc Sci:389–407

    Google Scholar 

  24. Taeihagh A, Lim HSM (2019) Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks. Transp Rev 39(1):103–128

    Article  Google Scholar 

  25. International Telecommunication Union (2017) Global cybersecurity index of 2017. Geneva, Switzerland

    Google Scholar 

  26. Schwebel D, Estruch E, Wobst P, Grandelis I (2019) Policies for youth employment in Sub-Saharan Africa. Youth and jobs in rural Africa: beyond stylized facts

    Google Scholar 

  27. Arslanian H, Fischer F (2019) The future of finance: the impact of FinTech, AI, and crypto on financial services. Springer

    Google Scholar 

  28. Al-Mudimigh A, Anshari M (2020) Financial technology and innovative financial inclusion. In: Financial technology and disruptive innovation in ASEAN, pp 119–129. IGI Global

    Google Scholar 

  29. Clements R (2020) Regulating FinTech in Canada and the United States: comparison, challenges, and opportunities (2020). The Routledge Handbook of FinTech, Routledge, UK (forthcoming)

    Google Scholar 

  30. Kulshrestha P, Ali MA (2019) An overview of the Islamic banking development in the United Kingdom, Malaysia, Saudi Arabia, Iran, Nigeria, Kenya, and Uganda. Int J Econ Manag Eng 13(4):374–388

    Google Scholar 

  31. Okanta SU (2019) Effect of information and communication technology on the Nigerian economy: evidence from the banking sector. Am Int J Econ Financ Res 1(1):1–20

    Article  Google Scholar 

  32. Contel FB (2020) Financialization and local scale dynamisms. In: The financialization of the Brazilian territory, pp 105–150. Springer, Cham

    Google Scholar 

  33. Alam N, Gupta L, Zameni A (2019) FinTech regulation. In: FinTech and Islamic finance, pp 137–158. Palgrave Macmillan, Cham

    Google Scholar 

  34. Odior ESO, Banuso FB (2012) Cashless banking in Nigeria: challenges, benefits, and policy implications

    Google Scholar 

  35. Ugwoke O, Okafor M (2019) Cashless perceived effect of the cashless policy of the Central Bank of Nigeria on improvement of the payment system in Nigeria. Int J Manag (IJM) 10(6)

    Google Scholar 

  36. Belke A, Beretta E (2020) From cash to central bank digital currencies and cryptocurrencies: a balancing act between modernity and monetary stability. J Econ Stud

    Google Scholar 

  37. Okonjo-Iweala N (2014) Reforming the unreformable: lessons from Nigeria. Mit Press

    Google Scholar 

  38. Igoni S, Onwumere JUJ, Ogiri IH (2020) The Nigerian digital finance environment and it’s economic growth: pain or gain. Asian J Econ Financ Manag 1–10

    Google Scholar 

  39. Thakor AV (2020) FinTech and banking: what do we know? J Financ Intermediation 41:100833

    Article  Google Scholar 

  40. Pal A, Herath T (2020) The role of mobile payment technology in sustainable and human-centric development: evidence from the post-demonetization period in India. Inf Syst Front:1–25

    Google Scholar 

  41. Ojo O, Nwaokike U (2018) Disruptive technology and the FinTech industry in Nigeria: imperatives for legal and policy responses. Gravit Rev Bus Property Law 9(3)

    Google Scholar 

  42. Nwani AT, Omankhanlen AE (2019) Insurance receivables and economic growth: the case of Nigeria. In: Journal of physics: conference series, vol 1378(4). IOP Publishing, p 042093

    Google Scholar 

  43. Osuagwu C (2019) Market orientation in Nigerian insurance firms: a research agenda. Archiv Bus Res 7(4):211–222

    Google Scholar 

  44. Sapovadia V (2018) Financial inclusion, digital currency, and mobile technology. In: Handbook of blockchain, digital finance, and inclusion, volume 2. Academic Press, pp 361–385

    Google Scholar 

  45. Falchetta G, Hafner M, Tagliapietra S (2020) Pathways to 100% electrification in East Africa by 2030. Energy J 41(3)

    Google Scholar 

  46. Arezki R, Mottaghi L, Barone A, Fan RY, Kiendrebeogo Y, Lederman D (2018) Middle East and North Africa economic monitor, october 2018: a new economy in Middle East and North Africa. The World Bank

    Google Scholar 

  47. Yetano Roche M, Verolme H, Agbaegbu C, Binnington T, Fischedick M, Oladipo EO (2019) Achieving sustainable development goals in Nigeria’s power sector: assessment of transition pathways. Clim Policy:1–20

    Google Scholar 

  48. Choudhury M, Goswami C (2019) MSME financing gaps-review of literature for the period 2005 to 2016. J Small Bus Entrepreneurship 7(2):50–60

    Google Scholar 

  49. Secretariat FI (2018) 2017 annual report national financial inclusion strategy implementation

    Google Scholar 

  50. Silva CT (2020) The economic crisis of 2008 and its social impact in Europe. Economic and social development: book of proceedings, pp 450–458

    Google Scholar 

  51. Ho J (2019) An earthquake or a category 4 financial storm? A corpus study of disaster metaphors in the media framing of the 2008 financial crisis. Text Talk 39(2):191–212

    Article  Google Scholar 

  52. Sapovadia VK (2020) Terrestrial and celestial forces expose vulnerable economists: financial crisis 2008 vs. 2020. Available at SSRN 3547745

    Google Scholar 

  53. Anand K, van Lelyveld I, Banai Á, Friedrich S, Garratt R, Hałaj G et al (2018) The missing links: a global study on uncovering financial network structures from partial data. J Financ Stab 35:107–119

    Article  Google Scholar 

  54. Varga D (2017) FinTech, the new era of financial services. Vezetéstudomįny-Bp Manag Rev 48(11):22–32

    Google Scholar 

  55. Anagnostopoulos I (2018) FinTech and regtech: impact on regulators and banks. J Econ Bus 100:7–25

    Article  Google Scholar 

  56. Jonáš F (2019) Portfolio optimization for a P2P investor on Zonky

    Google Scholar 

  57. Demirguc-Kunt A, Klapper L, Singer D, Van Oudheusden P (2015) The global findex database 2014: measuring financial inclusion around the world. The World Bank

    Google Scholar 

  58. Kiggundu MN, Ogola FO (2017) Kenya’s Safaricom, CEO Bob Collymore, and M-Pesa: extended notes from the keynote address. Afr J Manag 3(1):30–52

    Google Scholar 

  59. Kandpal V, Khalaf OI (2020) Artificial intelligence and SHGs: enabling financial inclusion in India. In: Deep learning strategies for security enhancement in wireless sensor networks. IGI Global, pp 291–303

    Google Scholar 

  60. Biancone PP, Secinaro S, Kamal M (2019) Crowdfunding and FinTech: business model sharia-compliant

    Google Scholar 

  61. Cheng M, Qu Y (2020) Does bank FinTech reduce credit risk? Evidence from China. Pacific-Basin Financ J:101398

    Google Scholar 

  62. Bilal M, Oyedele LO, Qadir J, Munir K, Ajayi SO, Akinade OO et al (2016) Big data in the construction industry: a review of present status, opportunities, and future trends. Adv Eng Inform 30(3):500–521

    Article  Google Scholar 

  63. Bagby JW, Reitter D (2019) Anticipatory fintech regulation: deploying big data analytics to predict the direction, impact, and control of financial technology. Impact and control of financial technology (September 19, 2019)

    Google Scholar 

  64. Khoja L, Chipulu M, Jayasekera R (2019) Analysis of financial distress cross countries: using macroeconomic, industrial indicators, and accounting data. Int Rev Financ Anal 66:101379

    Article  Google Scholar 

  65. Ren S, Zhang Y, Liu Y, Sakao T, Huisingh D, Almeida CM (2019) A comprehensive review of big data analytics throughout the product lifecycle to support sustainable smart manufacturing: a framework, challenges, and future research directions. J Clean Prod 210:1343–1365

    Article  Google Scholar 

  66. Sun Y, Shi Y, Zhang Z (2019) Finance big data: management, analysis, and applications

    Google Scholar 

  67. Favaretto M, De Clercq E, Schneble CO, Elger BS (2020) What is your definition of big data? researchers’ understanding of the phenomenon of the decade. PLoS ONE 15(2):e0228987

    Article  Google Scholar 

  68. Wenzel R, Van Quaquebeke N (2018) The double-edged sword of big data in organizational and management research: a review of opportunities and risks. Organ Res Methods 21(3):548–591

    Article  Google Scholar 

  69. Stenfors A (2018) Bid-ask spread determination in the FX swap market: Competition, collusion, or a convention? J Int Financ Mark Inst Money 54:78–97

    Article  Google Scholar 

  70. Pejić Bach M, Krstić Ž, Seljan S, Turulja L (2019) Text mining for big data analysis in the financial sector: a literature review. Sustainability 11(5):1277

    Article  Google Scholar 

  71. Müller O, Fay M, vom Brocke J (2018) The effect of big data and analytics on firm performance: an econometric analysis considering industry characteristics. J Manag Inf Syst 35(2):488–509

    Article  Google Scholar 

  72. Narayanan V, Arora I, Bhatia A (2016) Fast and accurate sentiment classification using an enhanced Naive Bayes model Cornell

    Google Scholar 

  73. Brynjolfsson E, Mcafee A (2017) The business of artificial intelligence. Harvard Bus Rev:1–20

    Google Scholar 

  74. Oussous A, Benjelloun FZ, Lahcen AA, Belfkih S (2018) Big data technologies: a survey. J King Saud Univ Comput Inf Sci 30(4):431–448

    Google Scholar 

  75. Del Vecchio P, Di Minin A, Petruzzelli AM, Panniello U, Pirri S (2018) Big data for open innovation in SMEs and large corporations: trends, opportunities, and challenges. Creativity Innov Manag 27(1):6–22

    Article  Google Scholar 

  76. Lehrer C, Wieneke A, Vom Brocke J, Jung R, Seidel S (2018) How big data analytics enables service innovation: materiality, affordance, and the individualization of service. J Manag Inf Syst 35(2):424–460

    Article  Google Scholar 

  77. Parmar RR, Roy S, Bhattacharyya D, Bandyopadhyay SK, Kim TH (2017) Large-scale encryption in the Hadoop environment: challenges and solutions. IEEE Access 5:7156–7163

    Article  Google Scholar 

  78. Milian EZ, Spinola MDM, de Carvalho MM (2019) FinTechs: a literature review and research agenda. Electron Commer Res Appl 34:100833

    Article  Google Scholar 

  79. Carnevale AP, Smith N, Strohl J (2013) Recovery: job growth and education requirements through 2020

    Google Scholar 

  80. Rieder G (2018) Big data: or, the vision that would not fade. Doctoral dissertation, IT University of Copenhagen

    Google Scholar 

  81. Khan N, Yaqoob I, Hashem IAT, Inayat Z, Mahmoud Ali WK, Alam M et al (2014) Big data: survey, technologies, opportunities, and challenges. Sci World J

    Google Scholar 

  82. Che D, Safran M, Peng Z (2013) From big data to big data mining: challenges, issues, and opportunities. In International conference on database systems for advanced applications. Springer, Berlin, pp 1–15

    Google Scholar 

  83. Berbers Y, Debeuckelaere W, De Hert P, Desmedt Y, De Smet F, Hildebrandt M et al (2018) Privacy in an age of the internet, social networks, and big data. Position paper 49b, Royal Flemish Academy of Belgium for Science and the Arts

    Google Scholar 

  84. Zhong RY, Newman ST, Huang GQ, Lan S (2016) Big data for supply chain management in the service and manufacturing sectors: challenges, opportunities, and future perspectives. Comput Ind Eng 101:572–591

    Article  Google Scholar 

  85. Bifet A, Holmes G, Pfahringer B, Kranen P, Kremer H, Jansen T, Seidl T (2010) Moa: massive online analysis, a framework for stream classification, and clustering. In: Proceedings of the first workshop on applications of pattern analysis, pp 44–50

    Google Scholar 

  86. Zikopoulos P, Eaton C (2011) Understanding big data: analytics for enterprise-class Hadoop and streaming data. McGraw-Hill Osborne Media

    Google Scholar 

  87. Madden S (2012) From databases to big data. IEEE Internet Comput 16(3):4–6

    Article  Google Scholar 

  88. Elmqvist N, Irani P (2013) Ubiquitous analytics: interacting with big data anywhere, anytime. Computer 46(4):86–89

    Article  Google Scholar 

  89. Ardagna D, Cappiello C, Samá W, Vitali M (2018) Context-aware data quality assessment for big data. Future Gener Comput Syst 89:548–562

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joseph Bamidele Awotunde .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Awotunde, J.B., Adeniyi, E.A., Ogundokun, R.O., Ayo, F.E. (2021). Application of Big Data with Fintech in Financial Services. In: Choi, P.M.S., Huang, S.H. (eds) Fintech with Artificial Intelligence, Big Data, and Blockchain. Blockchain Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-33-6137-9_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-6137-9_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6136-2

  • Online ISBN: 978-981-33-6137-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics