Skip to main content
Top
Published in:
Cover of the book

2020 | OriginalPaper | Chapter

Toward Becoming a Data-Driven Organization: Challenges and Benefits

Authors : Richard Berntsson Svensson, Maryam Taghavianfar

Published in: Research Challenges in Information Science

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Organizations are looking for ways to harness the power of big data and to incorporate the shift that big data brings into their competitive strategies in order to seek competitive advantage and to improve their decision making by becoming data-driven organizations. Despite the potential benefits to be gained from becoming data-driven, the number of organizations that efficiently use it and successfully transform into data-driven organizations stays low. The emphasis in the literature has mostly been technology oriented with limited attention paid to the organizational challenges it entails. This paper presents an empirical study that investigates the challenges and benefits faced by organizations when moving toward becoming a data-driven organization. Data were collected through semi-structured interviews with 15 practitioners from nine software developing companies. The study identifies 49 challenges an organization may face when implementing a data-driven organization in practice, and it identifies 23 potential benefits of a data-driven organization compared to a non-data-driven organization.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Anderson, C.: Creating a Data-Driven Organization. O’Reilly Media, Newton (2015) Anderson, C.: Creating a Data-Driven Organization. O’Reilly Media, Newton (2015)
2.
go back to reference Baskerville, R., Lee, A.S.: Distinctions among different types of generalizing in information systems research. In: Ngwenyama, O., Introna, L.D., Myers, M.D., DeGross, J.I. (eds.) New Information Technologies in Organizational Processes. ITIFIP, vol. 20, pp. 49–65. Springer, Boston, MA (1999). https://doi.org/10.1007/978-0-387-35566-5_5CrossRef Baskerville, R., Lee, A.S.: Distinctions among different types of generalizing in information systems research. In: Ngwenyama, O., Introna, L.D., Myers, M.D., DeGross, J.I. (eds.) New Information Technologies in Organizational Processes. ITIFIP, vol. 20, pp. 49–65. Springer, Boston, MA (1999). https://​doi.​org/​10.​1007/​978-0-387-35566-5_​5CrossRef
3.
go back to reference Bean, R., Davenport, T.: Companies are failing in their efforts to become data-driven. Harvard Bus. Rev. (2019) Bean, R., Davenport, T.: Companies are failing in their efforts to become data-driven. Harvard Bus. Rev. (2019)
4.
go back to reference Berndtsson, M., Forsberg, D., Stein, D., Svahn, T.: Becoming a data-driven organisation. In: Proceedings of the 26th European Conference on Information Systems (2018) Berndtsson, M., Forsberg, D., Stein, D., Svahn, T.: Becoming a data-driven organisation. In: Proceedings of the 26th European Conference on Information Systems (2018)
5.
go back to reference Berndtsson, M., Lennerholt, C., Svahn, T., Larsson, P.: 13 organizations’ attempts to become data-driven. Int. J. Bus. Intell. Res. 11(1), 1–21 (2020)CrossRef Berndtsson, M., Lennerholt, C., Svahn, T., Larsson, P.: 13 organizations’ attempts to become data-driven. Int. J. Bus. Intell. Res. 11(1), 1–21 (2020)CrossRef
7.
go back to reference Boyd, D., Crawford, K.: Critical questions for big data: provocations for a cultural, technological, and scholarly phenomenon. Inf. Commun. Soc. 15, 662–679 (2012)CrossRef Boyd, D., Crawford, K.: Critical questions for big data: provocations for a cultural, technological, and scholarly phenomenon. Inf. Commun. Soc. 15, 662–679 (2012)CrossRef
8.
go back to reference Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3(2), 77–101 (2006)CrossRef Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3(2), 77–101 (2006)CrossRef
9.
go back to reference Bremser, C.: Starting points for big data adoption. In: Proceedings of the 26th European Conference on Information Systems (2018) Bremser, C.: Starting points for big data adoption. In: Proceedings of the 26th European Conference on Information Systems (2018)
10.
go back to reference Constantiou, I., Kallinikos, J.: New games, new rules: big data and the changing context of strategy. J. Inf. Technol. 30(1), 44–57 (2015)CrossRef Constantiou, I., Kallinikos, J.: New games, new rules: big data and the changing context of strategy. J. Inf. Technol. 30(1), 44–57 (2015)CrossRef
11.
go back to reference Davenport, T., Bean, R.: Big companies are embracing analytics, but most still don’t have a data-driven culture. Harvard Bus. Rev. (2018) Davenport, T., Bean, R.: Big companies are embracing analytics, but most still don’t have a data-driven culture. Harvard Bus. Rev. (2018)
12.
go back to reference Halaweh, M., Massry, A.: Conceptual model for successful implementation of big data in organizations. J. Int. Technol. Inf. Manag. 24(2), 34 (2015) Halaweh, M., Massry, A.: Conceptual model for successful implementation of big data in organizations. J. Int. Technol. Inf. Manag. 24(2), 34 (2015)
13.
go back to reference Halper, F., Stodder, D.: What it takes to be data-driven. TDWI, vol. Q4 (2017) Halper, F., Stodder, D.: What it takes to be data-driven. TDWI, vol. Q4 (2017)
14.
go back to reference Hannila, H., Silvola, R., Harkonen, J., Haapasalo, H.: Data-driven begins with data; potential of data assets. J. Comput. Inf. Syst. 1–10 (2019) Hannila, H., Silvola, R., Harkonen, J., Haapasalo, H.: Data-driven begins with data; potential of data assets. J. Comput. Inf. Syst. 1–10 (2019)
15.
go back to reference Jensen, M., Nielsen, P., Persson, J.: Managing big data analytics projects: the challenges of realizing value. In: Proceedings of the 27th European Conference on Information Systems (2019) Jensen, M., Nielsen, P., Persson, J.: Managing big data analytics projects: the challenges of realizing value. In: Proceedings of the 27th European Conference on Information Systems (2019)
16.
go back to reference Kahneman, D.: Maps of bounded rationality: psychology for behavioral economics. Am. Econ. Rev. 93, 1449–1475 (2003)CrossRef Kahneman, D.: Maps of bounded rationality: psychology for behavioral economics. Am. Econ. Rev. 93, 1449–1475 (2003)CrossRef
18.
go back to reference LaValle, S., Lesser, E., Shockley, R., Hopkins, M., Kruschwitz, N.: Big data, analytics, and the path from insights to value. MIT Sloan Manag. Rev. 52(2), 21–32 (2011) LaValle, S., Lesser, E., Shockley, R., Hopkins, M., Kruschwitz, N.: Big data, analytics, and the path from insights to value. MIT Sloan Manag. Rev. 52(2), 21–32 (2011)
19.
go back to reference McAfee, A., Brynjolfsson, E.: Big data: the management revolution. Harvard Bus. Rev. (2012) McAfee, A., Brynjolfsson, E.: Big data: the management revolution. Harvard Bus. Rev. (2012)
21.
go back to reference Partners, N.V.: Big data executive survey 2018 executive summary of findings. Technical report, NewVantage Partners (2018) Partners, N.V.: Big data executive survey 2018 executive summary of findings. Technical report, NewVantage Partners (2018)
22.
go back to reference Patil, D.: Building Data Science Teams. O’Reilly Media, Newton (2011) Patil, D.: Building Data Science Teams. O’Reilly Media, Newton (2011)
23.
go back to reference Patton, M.: Qualitative Research and Evaluation Methods. Sage Publications, New York (2002) Patton, M.: Qualitative Research and Evaluation Methods. Sage Publications, New York (2002)
24.
go back to reference Robson, C.: Real World Research. Blackwell, Oxford (2002) Robson, C.: Real World Research. Blackwell, Oxford (2002)
25.
go back to reference Sivarajah, U., Kamal, M., Irani, Z., Weerakkody, V.: Critical analysis of big data challenges and analytical methods. J. Bus. Res. 70(2), 263–286 (2017)CrossRef Sivarajah, U., Kamal, M., Irani, Z., Weerakkody, V.: Critical analysis of big data challenges and analytical methods. J. Bus. Res. 70(2), 263–286 (2017)CrossRef
Metadata
Title
Toward Becoming a Data-Driven Organization: Challenges and Benefits
Authors
Richard Berntsson Svensson
Maryam Taghavianfar
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-50316-1_1

Premium Partner