Advertisement

Digital Transformation – A Call for Business User Experience Driven Development

  • Prabal MahantaEmail author
  • Abdul-Gafoor Mohamed
Conference paper
  • 14 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11878)

Abstract

In order to transform organizations digitally, it is critical to understand and analyse the disruption effects from the point of view of the business model or a target consumer group. While organizations layout their roadmap to achieve transformations, they often invest in techniques and methodologies without a vision on business analytics, intelligence and end up creating a non-manageable platform and data graveyard. The illusion of achieving the silver lining in analytics and data insights for business is creating a critical roadblock in the path of optimized and scalable mechanisms of developing a well-oiled data management system.

With the growing practices in designing business data management and analytics systems, it is a complex problem to design a scalable and a mature system. Here, we try to discuss on how to, with the changing dimension of platform offerings, use portability as one of the key parameters to scale efficiently and effectively. Also, artificial intelligence (AI) becomes a key component in many optimizations in specific scenario of software applications but when it comes to business data management, we only use it for insights, predictions and seldom map the power of AI to manage the data effectively. We discuss various approaches to address the criticality of the business scenarios and how we can implement the focus on data at its core.

Keywords

Business intelligence Business strategy Portability Metadata management 

References

  1. 1.
    da Costa, L.S., Pereira, L., Akkari, A.: A proposed framework to identify digital transformation maturity in small industries. In: 4th Workshop on Innovative Engineering for Fluid Power (WIEFP 2018), 28–30 November, Sao Paulo, Brazil, no. 156. Linköping University Electronic Press (2018)Google Scholar
  2. 2.
    Kahre, C., Hoffmann, D., Ahlemann, F.: Beyond business-IT alignment-digital business strategies as a paradigmatic shift: a review and research agenda (2017)Google Scholar
  3. 3.
    Lainema, T., Nurmi, S.: Applying an authentic, dynamic learning environment in real world business. Comput. Educ. 47(1), 94–115 (2006)CrossRefGoogle Scholar
  4. 4.
    Kontić, L., Vidicki, Đ.: Strategy for digital organization: testing a measurement tool for digital transformation. Strateg. Manag. 23(1), 29–35 (2018)CrossRefGoogle Scholar
  5. 5.
    Crouch, S., et al.: The Software Sustainability Institute: changing research software attitudes and practices. Comput. Sci. Eng. 15(6), 74 (2014)CrossRefGoogle Scholar
  6. 6.
    Baldassarre, B., et al.: Bridging sustainable business model innovation and user-driven innovation: a process for sustainable value proposition design. J. Clean. Prod. 147, 175–186 (2017)CrossRefGoogle Scholar
  7. 7.
    Larson, D., Chang, V.: A review and future direction of agile, business intelligence, analytics and data science. Int. J. Inf. Manage. 36(5), 700–710 (2016)CrossRefGoogle Scholar
  8. 8.
    Rădescu, R., Muraru, V.: Study platform for complex data analysis of telecommunications and social network applications using business intelligence. In: The International Scientific Conference eLearning and Software for Education, vol. 1. “Carol I” National Defence University (2019)Google Scholar
  9. 9.
    Jarrahi, M.H.: Artificial intelligence and the future of work: human-AI symbiosis in organizational decision making. Bus. Horiz. 61(4), 577–586 (2018)CrossRefGoogle Scholar
  10. 10.
    Scandaroli, A., et al.: Behavior-driven development as an approach to improve software quality and communication across remote business stakeholders, developers and QA: two case studies. In: Proceedings of the 14th International Conference on Global Software Engineering. IEEE Press (2019)Google Scholar
  11. 11.
    Tavanti, M., Davis, E.B.: Integrating sustainability mindset and impact competencies in management education: directions, models, and strategies. In: Contemporary Perspectives in Corporate Social Performance and Policy. Management Education for Corporate Social Performance, pp. 223–241 (2017)Google Scholar
  12. 12.
    Bačić, D., Fadlalla, A.: Business information visualization intellectual contributions: an integrative framework of visualization capabilities and dimensions of visual intelligence. Decis. Support Syst. 89, 77–86 (2016)CrossRefGoogle Scholar
  13. 13.
    Mahanta, P., Kaur, B.: User experience and agile software practices – an industry perspective. In: Debruyne, C., et al. (eds.) OTM 2017. LNCS, vol. 10697, pp. 232–235. Springer, Cham (2018).  https://doi.org/10.1007/978-3-319-73805-5_24CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.SAP Labs Pvt. Ltd.BangaloreIndia

Personalised recommendations