Skip to main content
SpringerLink
Log in

A Smart Approach to In-House Analytics and Business Management 4.0

  • Chapter
  • First Online:
Smart Green Innovations in Industry 4.0 for Climate Change Risk Management

Abstract

This research discusses the use of a smart in-house analytics approach as part of accelerating digital transformation and achieving strategic business management goals. The paper aims to determine the main directions of strategic management in the digital economy and the content of a contemporary business process management system. The authors investigate business intelligence systems as tools for implementing smart business management 4.0 approaches to analyze and make real-time management decisions in an uncertain environment. The authors highlight the reasons for using business intelligence (BI) systems and the challenges that these systems address in terms of implementing a smart approach. The functionality of BI systems and the cycle of data analysis and control decisions in providing a complete and reliable analysis of a company’s business processes are explored. Considering the emergence of new areas of technology, the authors discuss the business and technology fundamentals of Business 4.0. The analysis shows the need for management transformation using the agile methodology within the framework of digitalization of business processes and innovation.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
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. Alam M, Khan IR (2020) Business 4.0—a new revolution. In: Information technology for management. KD Publications, Delhi, India, pp 41–57. https://doi.org/10.6084/m9.figshare.14369636

  2. Ananyin VI, Zimin KV, Lugachev MI, Gimranov RD, Skripkin KG (2018) Digital organization: transformation into the new reality. J Bus Inform 2(44):45–54. https://doi.org/10.17323/1998-0663.2018.2.45.54

    Article  Google Scholar 

  3. Bochkin A (2022, July 28) 3 trends in the development of Russian business analytics for the coming year. Retrieved from https://www.e-xecutive.ru/management/itforbusiness/1995276-3-trenda-razvitiya-rossiiskoi-biznes-analitiki-na-blizhaishii-god 2022. Accessed 10 Sept 2022

  4. Bondarenko V, Guzenko N, Romanishina T, Leventsov V, Gluhov V (2022) Information and communications technology in the development of territories based on designing “smart cities.” In: Koucheryavy Y, Balandin S, Andreev S (eds) Internet of things, smart spaces, and next generation networks and systems. Springer, Cham, Switzerland, pp 59–68. https://doi.org/10.1007/978-3-030-97777-1_6

  5. Bondarenko V, Romanishina T, Guzenko N, Mukhanova N, Salkutsan S (2022) Developing smart cities: the risks of using information and communications technology. In: Lecture notes in computer science, 13158 LNCS, pp 71–80. https://doi.org/10.1007/978-3-030-97777-1_7

  6. Bruskin SN (2017) Models and tools of predicting analytical research for digital corporation. Vestnik Plekhanov Russ Univ Econ 5:135–139. Retrieved from https://vest.rea.ru/jour/article/view/375/340. Accessed 10 Sept 2022

  7. Business Portal “TAdviser” (2022, August 4) AI in analytics: what’s beyond BI? Retrieved from https://www.tadviser.ru/index.php/Cтaтья:ИИ_в_aнaлитикe:_чтo_зa_пpeдeлaми_BI. Accessed 10 Sept 2022

    Google Scholar 

  8. Coria JAG, Castellanos-Garzón JA, Corchado JM (2014) Intelligent business processes composition based on multi-agent systems. Exp Syst Appl 41(4):1189–1205. https://doi.org/10.1016/j.eswa.2013.08.003

    Article  Google Scholar 

  9. Dolganova OI, Deeva EA (2019) Company readiness for digital transformations: problems and diagnosis. J Bus Inform 13(2):59–72. https://doi.org/10.17323/1998-0663.2019.2.59.72

    Article  Google Scholar 

  10. Ghezzi A, Cavallo A (2020) Agile business model innovation in digital entrepreneurship: lean startup approaches. J Bus Res 110:519–537. https://doi.org/10.1016/j.jbusres.2018.06.013

    Article  Google Scholar 

  11. Grekul VI, Isaev EA, Korovkina NL, Lisienkova T (2019) Developing an approach to ranking innovative IT projects. J Bus Inform 13(2):44–58. https://doi.org/10.17323/1998-0663.2019.2.43.58

    Article  Google Scholar 

  12. Ivanchenko OV, Mirgorodskaya ON, Baraulya EV, Putilina TI (2019) Marketing relations and communication infrastructure development in the banking sector based on big data mining. Int J Econ Bus Adm 7(2):176–184. https://doi.org/10.35808/ijeba/382

    Article  Google Scholar 

  13. Kapustin V, Danilov I (2020, August 13) What strategy should I choose for a win-win transformation of the enterprise into the Industry 4.0 format? Retrieved from https://integral-russia.ru/2020/08/13/kakuyu-strategiyu-vybrat-dlya-besproigryshnoj-transformatsii-predpriyatiya-v-format-industrii-4-0/. Accessed 10 Sept 2022

  14. Khasanov M, Krasnov F (2019) Transactional digital transformation in scientific organizations. PROneft. Professionally about Oil 1:64–67. Retrieved from https://proneft.elpub.ru/jour/article/view/301/301?locale=en_US. Accessed 10 Sept 2022

  15. Kleimenova L (2021, May 4) What is Industry 4.0 and what you need to know about it. RBC Trends. Retrieved from https://trends.rbc.ru/trends/industry/5e740c5b9a79470c22dd13e7. Accessed 10 Sept 2022

  16. Krylov SI (2018) Integrated management analysis of innovation: a conceptual and methodological framework. Digest Finan 23(4):466–482. https://doi.org/10.24891/df.23.4.466

    Article  Google Scholar 

  17. Mirgorodskaya ON, Ivanchenko OV, Dadayan NA (2020) Using digital signage technologies in retail marketing activities. In: DTMIS’20: Proceedings of the international scientific conference—digital transformation on manufacturing, infrastructure and service, Article 76. Association for Computing Machinery, New York, NY, pp 1–7. https://doi.org/10.1145/3446434.3446476

  18. Müller JM, Buliga O, Voigt KI (2018) Fortune favors the prepared: how SMEs approach business model innovations in Industry 4.0. Technol Forecast Soc Chang 132:2–17. https://doi.org/10.1016/J.TECHFORE.2017.12.019

    Article  Google Scholar 

  19. Nissen V, Tatiana L, Saltan A (2018) The role of IT-management in the digital transformation of Russian companies. Foresight STI Govern 12(3):53–61. https://doi.org/10.17323/2500-2597.2018.3.53.61

    Article  Google Scholar 

  20. Ojala A, Tyrvainen P (2011) Developing cloud business models: a case study on cloud gaming. IEEE Softw 28(4):42–47. https://doi.org/10.1109/MS.2011.51

    Article  Google Scholar 

  21. Park S (2017) Understanding digital capital within a user’s digital technology ecosystem. In: Park S (ed) Digital capital. Palgrave Macmillan, London, UK, pp 63–82. https://doi.org/10.1057/978-1-137-59332-0_4

  22. Repin V (n.d.) Assessment of maturity of the business process management system. Retrieved from https://www.lobanov-logist.ru/library/all_articles/64181/. Accessed 10 Sept 2022

  23. Vaidya S, Ambad P, Bhosle S (2018) Industry 4.0—a glimpse. Procedia Manuf 20:233–238. https://doi.org/10.1016/j.promfg.2018.02.034

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Rostov State University of Economics, Rostov-on-Don, Russia

    Victoria A. Bondarenko, Olesya V. Ivanchenko & Natalia V. Przhedetskaya

Authors
  1. Victoria A. Bondarenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Olesya V. Ivanchenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Natalia V. Przhedetskaya
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Victoria A. Bondarenko .

Editor information

Editors and Affiliations

  1. RUDN University, Moscow, Russia

    Elena G. Popkova

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bondarenko, V.A., Ivanchenko, O.V., Przhedetskaya, N.V. (2023). A Smart Approach to In-House Analytics and Business Management 4.0. In: Popkova, E.G. (eds) Smart Green Innovations in Industry 4.0 for Climate Change Risk Management. Environmental Footprints and Eco-design of Products and Processes. Springer, Cham. https://doi.org/10.1007/978-3-031-28457-1_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-28457-1_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28456-4

  • Online ISBN: 978-3-031-28457-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation